2025 What makes clinical machine learning fair? A practical ethics framework
Marine Hoche, Olga Mineeva, Gunnar Rätsch, Effy Vayena, Alessandro Blasimme
PLOS Digit Health 4(3): e0000728
2025 UniDepthV2: Universal Monocular Metric Depth Estimation Made Simpler
Luigi Piccinelli, Christos Sakaridis, Yung-Hsu Yang, Mattia Segu, Siyuan Li, Wim Abbeloos, Luc Van Gool
arXiv preprint arXiv:2502.20110
2025 Upconversion Nanoparticle‐Covalent Organic Framework Core–shell Particles as Therapeutic Microrobots Trackable With Optoacoustic Imaging
Dong Wook Kim, Paul Wrede, Andrés Rodríguez-Camargo, Yi Chen, Nihal Olcay Dogan, Chaim Glück, Bettina V. Lotsch, Daniel Razansky, Metin Sitti
Adv. Mater. 2025, 2418425
2025 CAIMAN: Causal Action Influence Detection for Sample Efficient Loco-manipulation
Yuanchen Yuan, Jin Cheng, Núria Armengol Urpí, Stelian Coros
arXiv preprint arXiv:2502.00835
2025 Multiorifice acoustic microrobot for boundary-free multimodal 3D swimming
Nima Mahkam, Musab C. Ugurlu , Sandeep Kumar Kalva, Amirreza Aghakhani, Daniel Razansky and Metin Sitti
Proc. Natl. Acad. Sci. U.S.A. 122 (4) e2417111122
2025 "Decision-Dependent Stochastic Optimization: The Role of Distribution Dynamics"
Zhiyu He, Saverio Bolognani, Florian Dörfler, Michael Muehlebach
arXiv preprint arXiv:2503.07324
2025 "The Sample Complexity of Online Reinforcement Learning: A Multi-model Perspective"
Michael Muehlebach, Zhiyu He, Michael I. Jordan
arXiv preprint arXiv:2501.15910
2025 MathGAP: Out-of-Distribution Evaluation on Problems with Arbitrarily Complex Proofs
Andreas Opedal*, Haruki Shirakami*, Bernhard Schölkopf, Abulhair Saparov, and Mrinmaya Sachan
International Conference on Learning Representations (ICLR) 2025
2025 NIL: No-data Imitation Learning by Leveraging Pre-trained Video Diffusion Models
Mert Albaba, Chenhao Li, Markos Diomataris, Omid Taheri, Andreas Krause, Michael Black
arXiv preprint arXiv:2503.10626
2025 Volumetric optoacoustic temperature mapping in photothermal therapy with silica-coated gold nanorods
Eva Remlova, Alexander Jessernig, Marcus Bammel, Daniil Nozdriukhin, Yi Chen, Oscar Cipolato, Xose Luis Dean-Ben, Inge Herrmann, Daniel Razansky
Photons Plus Ultrasound: Imaging and Sensing 13319, 35-37 (2025)
2025 Fixed-Point RNNs: From Diagonal to Dense in a Few Iterations
Sajad Movahedi, Felix Sarnthein, Nicola Muca Cirone, Antonio Orvieto
arXiv preprint arXiv:2503.10799
2025 MEt3R: Measuring Multi-View Consistency in Generated Images
Mohammad Asim, Christopher Wewer, Thomas Wimmer, Bernt Schiele, and Jan Eric Lenssen
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2025
2025 Predicting 4D Hand Trajectory from Monocular Videos
Yufei Ye, Yao Feng, Omid Taheri, Haiwen Feng, Shubham Tulsiani, Michael J Black
arXiv preprint arXiv:2501.08329
2025 No Pose, No Problem: Surprisingly Simple 3D Gaussian Splats from Sparse Unposed Images
Botao Ye, Sifei Liu, Haofei Xu, Xueting Li, Marc Pollefeys, Ming-Hsuan Yang, Songyou Peng
International Conference on Learning Representations (ICLR) 2025
2025 Learning Perception and Navigation for autonomous robots in the wild
Jonas Frey
Doctoral Thesis, ETH Zurich
2025 Towards Agile Whole-Body Legged Loco-Manipulation
Yuntao Ma
Doctoral Thesis, ETH Zurich
2025 Machine learning for biomedical applications: a user-centered approach
Olga Mineeva
Doctoral Thesis, ETH Zurich
2025 Towards Robust and Flexible Robot State and Motion Estimation through Optimization and Learning
Julian Nubert
Doctoral Thesis, ETH Zurich
2025 Self-Supervised Structured Representation Learning from Interaction: Group action and Objects Composition
Hamza Keurti
Doctoral Thesis, ETH Zurich
2025 Learning to Track: From Limited Supervision to Long-range Sequence Modeling
Mattia Segù
Doctoral Thesis, ETH Zurich
2025 Dynamic 3D synthesis: from video-based animatable head avatars to text-guided 4D content creation
Yufeng Zheng
Doctoral Thesis, ETH Zurich
2025 Design and Advanced Manufacturing of Intricate Musculoskeletal Robots: From Multimaterial 3D Printing to Energy-Efficient Electrohydraulic Robotics creation
Thomas Buchner
Doctoral Thesis, ETH Zurich
2025 Use the 4S (Signal-Safe Speckle Subtraction): Explainable Machine Learning reveals the Giant Exoplanet AF Lep b in High-Contrast Imaging Data from 2011
Markus J. Bonse, Timothy D. Gebhard, Felix A. Dannert, Olivier Absil, Faustine Cantalloube, Valentin Christiaens, Gabriele Cugno, Emily O. Garvin, Jean Hayoz, Markus Kasper
The Astronomical Journal, Volume 169, Number 4
2025 PromptHMR: Promptable Human Mesh Recovery
Wang, Y., Sun, Y., Patel, P., Daniilidis, K., Black, M. J., Kocabas, M.
In IEEE/CVF Conf. on Computer Vision and Pattern Recognition (CVPR), June 2025
2025 Diffusion Based Robust LiDAR Place Recognition
"Krummenacher, Benjamin
42nd IEEE International Conference on Robotics and Automation (ICRA 2025)
2025 Boxi: Design Decisions in the Context of Algorithmic Performance for Robotics
"Frey, Jonas
Robotics: Science and Systems Conference (RSS 2025)
2025 Learned Perceptive Forward Dynamics Model for Safe and Platform-aware Robotic Navigation
"Roth, Pascal
Robotics: Science and Systems Conference (RSS 2025)
2025 DAPPER: Discriminability-Aware Policy-to-Policy Preference-Based Reinforcement Learning for Query-Efficient Robot Skill Acquisition
"Kadokawa, Yuki
IEEE Robotics & Automation Magazine (submitted)
2025 Wild visual navigation: fast traversability learning via pre-trained models and online self-supervision
"Mattamala Aravena, Matias Eduardo
Autonomous Robots 49 (3)
2025 Learning to Open and Traverse Doors with a Legged Manipulator
"Zhang, Mike (Shao)
8th Conference on Robot Learning (CoRL 2024)
2025 Learning coordinated badminton skills for legged manipulators
"Ma, Yuntao
Science Robotics 10, eadu3922(2025)
2025 Informed, Constrained, Aligned: A Field Analysis on Degeneracy-aware Point Cloud Registration in the Wild
Turcan Tuna, Julian Nubert, Patrick Pfreundschuh, Cesar Cadena, Shehryar Khattak, Marco Hutter
IEEE Transactions on Field Robotics, vol. 2, pp. 485-515, 2025
2025 CompSLAM: Complementary Hierarchical Multi-Modal Localization and Mapping for Robot Autonomy in Underground Environments
"Khattak, Shehryar Masaud Khan
IEEE ICRA Workshop Robots in the Wild, 2025
2025 Samba: Synchronized Set-of-Sequences Modeling for Multiple Object Tracking
Mattia Segu, Luigi Piccinelli, Siyuan Li, Yung-Hsu Yang, Bernt Schiele, Luc Van Gool
International Conference on Learning Representations (ICLR)
2025 UniK3D: Universal Camera Monocular 3D Estimation
L Piccinelli, C Sakaridis, M Segu, YH Yang, S Li, W Abbeloos, L Van Gool
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2025
2025 Semantic Library Adaptation: LoRA Retrieval and Fusion for Open-Vocabulary Semantic Segmentation
Reza Qorbani, Gianluca Villani, Theodoros Panagiotakopoulos, Marc Botet Colomer, Linus Härenstam-Nielsen, Mattia Segu, Pier Luigi Dovesi, Jussi Karlgren, Daniel Cremers, Federico Tombari, Matteo Poggi
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2025
2025 Unidepthv2: Universal monocular metric depth estimation made simpler
L Piccinelli, C Sakaridis, YH Yang, M Segu, S Li, W Abbeloos, L Van Gool
arXiv preprint arXiv:2502.20110
2025 Robust Object Detection with Domain-Invariant Training and Continual Test-Time Adaptation
Qi Fan, Mattia Segu, Bernt Schiele, Dengxin Dai, Yu-Wing Tai, Chi-Keung Tang
International Journal of Computer Vision (2025)
2025 "From Structured Data to Clinical Notes: Robust Clinical Decision Support with Fine-Tuned LLMs"
"Frederike Lübeck, Jonas Wildberger, Frederik Träuble, Maximilian Mordig, Sergios Gatidis, Andreas Krause, Bernhard Schölkopf"
"Proceedings of the 1 st ICML Workshop on Foundation Models for Structured Data, Vancouver, Canada. 2025"
2025 Text-based Animatable 3D Avatars with Morphable Model Alignment
Yiqian Wu, Malte Prinzler, Xiaogang Jin, Siyu Tang
Proceedings of the Special Interest Group on Computer Graphics and Interactive Techniques Conference Conference Papers
2025 Active Fine-Tuning of Generalist Policies
Marco Bagatella, Jonas Hübotter, Georg Martius, Andreas Krause
International Conference on Machine Learning (ICML), 2025
2025 DISCOVER: Automated Curricula for Sparse-Reward Reinforcement Learning
L Diaz-Bone, M Bagatella, J Hübotter, A Krause
arXiv preprint arXiv:2505.19850
2025 Test-time Offline Reinforcement Learning on Goal-related Experience
M Bagatella, M Albaba, J Hübotter, G Martius, A Krause
arXiv preprint arXiv:2507.18809
2025 Limits to Scalable Evaluation at the Frontier: LLM as Judge Won’t Beat Twice the Data
Dorner, F. E., Nastl, V. Y., Hardt, M.
The Thirteenth International Conference on Learning Representations (ICLR 2025), January 2025 (Accepted)
2025 Nil: No-data imitation learning by leveraging pre-trained video diffusion models
M Albaba, C Li, M Diomataris, O Taheri, A Krause, M Black
arXiv preprint arXiv:2503.10626
2025 GeomHair: Reconstruction of Hair Strands from Colorless 3D Scans
RN Lazuardi, A Sevastopolsky, E Zakharov, M Niessner, V Sklyarova
arXiv preprint arXiv:2505.05376
2025 Search3D: Hierarchical Open-Vocabulary 3D Segmentation
A. Takmaz, A. Delitzas, R. W. Sumner, F. Engelmann, J. Wald and F. Tombari
IEEE Robotics and Automation Letters, vol. 10, no. 3, pp. 2558-2565, March 2025
2025 Solving Inverse Problems with FLAIR
Julius Erbach, Dominik Narnhofer, Andreas Dombos, Bernt Schiele, Jan Eric Lenssen, Konrad Schindler
arXiv preprint arXiv:2506.02680
2025 Adaptable Cardiovascular Disease Risk Prediction from Heterogeneous Data using Large Language Models
Frederike Lübeck, Jonas Wildberger, Frederik Träuble, Maximilian Mordig, Sergios Gatidis, Andreas Krause, Bernhard Schölkopf
arXiv preprint arXiv:2505.24655
2025 Synergistic integration of materials in medical microrobots for advanced imaging and actuation
Paul Wrede, Eva Remlova, Yi Chen, Xosé Luís Deán-Ben, Metin Sitti & Daniel Razansky 
Nature Reviews Materials (2025)
2025 A Spatio-Temporal Point Process for Fine-Grained Modeling of Reading Behavior
Francesco Ignazio Re, Andreas Opedal, Glib Manaiev, Mario Giulianelli, Ryan Cotterell
Annual Meeting of the Association for Computational Linguistics (ACL), 2025
2025 Dynamic Electromagnetic Navigation 
"Zughaibi, Jasan
IEEE Robotics and Automation Letters, vol. 10, no. 6, pp. 6095-6102, June 202
2025 Distributed Traffic Signal Control via Coordinated Maximum Pressure-plus-Penalty
V. Tütsch, Z. He, F. Dörfler and K. Zhang
IEEE 27th International Conference on Intelligent Transportation Systems (ITSC), Edmonton, AB, Canada, 2024, pp. 311-316
2025 Primal Methods for Variational Inequality Problems with Functional Constraints
Liang Zhang, Niao He, Michael Muehlebach
Mathematical Programming (2025)
2025 ChatGarment: Garment Estimation, Generation and Editing via Large Language Models
Siyuan Bian, Chenghao Xu, Yuliang Xiu, Artur Grigorev, Zhen Liu, Cewu Lu, Michael J Black, Yao Feng
In IEEE/CVF Conf. on Computer Vision and Pattern Recognition (CVPR), June 2025 (Published)
2025 Epistemically-guided forward-backward exploration
Núria Armengol Urpí, Marin Vlastelica, Georg Martius, Stelian Coros
arXiv preprint arXiv:2507.05477
2025 Do It Yourself: Learning Semantic Correspondence from Pseudo-Labels
Olaf Dünkel, Thomas Wimmer, Christian Theobalt, Christian Rupprecht, Adam Kortylewski
arXiv preprint arXiv:2506.05312
2025 Fixed-point rnns: From diagonal to dense in a few iterations
Sajad Movahedi, Felix Sarnthein, Nicola Muca Cirone, Antonio Orvieto
arXiv preprint arXiv:2503.10799
2025 Training on the Test Task Confounds Evaluation and Emergence
Dominguez-Olmedo, Ricardo and Dorner, Florian E. and Hardt, Moritz
2025 Limits to Scalable Evaluation at the Frontier: LLM as Judge Won't Beat Twice the Data
Dorner, Florian E. and Nastl, Vivian Y. and Hardt, Moritz
2025 Gaussian Garments: Reconstructing Simulation-Ready Clothing with Photo-Realistic Appearance from Multi-View Video
Boxiang Rong and Artur Grigorev and Wenbo Wang and Michael J. Black and Bernhard Thomaszewski and Christina Tsalicoglou and Otmar Hilliges
2025 Policy Design in Long-run Welfare Dynamics
Wu, Jiduan and Abebe, Rediet and Hardt, Moritz and Stoica, Ana
2025 Machine Learning Meets Exoplanet Science: Methodical contributions to direct imaging and atmospheric retrieval
Gebhard, T.
2025 On the Transfer of Object-Centric Representation Learning
Didolkar, A. R. and Zadaianchuk, A. and Goyal, A. and Mozer, M. C. and Bengio, Y. and Martius*, G. and Seitzer*, M.
2025 Temporally Consistent Object-Centric Learning by Contrasting Slots
Manasyan, A. and Seitzer, M. and Radovic, F. and Martius, G. and Zadaianchuk, A.
2025 How Benchmark Prediction from Fewer Data Misses the Mark
Zhang, Guanhua and Dorner, Florian E. and Hardt, Moritz
2025 Estimating Human and Camera Motion From RGB Data
Kocabas, Muhammed
2025 The Geometry of Learning Via Loss Landscape Curvature
Singh, Sidak Pal
2025 Avoiding spurious sharpness minimization broadens applicability of SAM
Singh, S. P. and Mobahi, H. and Agarwala, A. and Dauphin, Y.
2024 Competition of Mechanisms: Tracing How Language Models Handle Facts and Counterfactuals
Ortu*, F. and Jin*, Z. and Doimo, D. and Sachan, M. and Cazzaniga, A. and Sch{\"o}lkopf, B.
2024 Generalized Measures of Anticipation and Responsivity in Online Language Processing
Mario Giulianelli, Andreas Opedal, Ryan Cotterell
Conference on Empirical Methods in Natural Language Processing (EMNLP), 2024
2024 On the Role of Context in Reading Time Prediction
Andreas Opedal, Eleanor Chodroff, Ryan Cotterell, and Ethan Wilcox
Conference on Empirical Methods in Natural Language Processing (EMNLP), 2024
2024 Reinforcement Learning Control for Autonomous Hydraulic Material Handling Machines with Underactuated Tools
Filippo A. Spinelli, Pascal Egli, Julian Nubert, Fang Nan, Thilo Bleumer, Patrick Goegler, Stephan Brockes, Ferdinand Hofmann, Marco Hutter
IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2024 (oral presentation)
2024 ETHcavation: A Dataset and Pipeline for Panoptic Scene Understanding and Object Tracking in Dynamic Construction Environments
Lorenzo Terenzi, Julian Nubert, Pol Eyschen, Pascal Roth, Simin Fei, Edo Jelavic, Marco Hutter
Preprint arXiv: 2410.04250
2024 Continuous-Time State Estimation Methods in Robotics: A Survey
William Talbot, Julian Nubert, Turcan Tuna, Cesar Cadena, Frederike Dümbgen, Jesus Tordesillas, Timothy D. Barfoot, Marco Hutter
Preprint arXiv: 241103951
2024 Human Hair Reconstruction with Strand-Aligned 3D Gaussians
Egor Zakharov, Vanessa Sklyarova, Michael Black, Giljoo Nam, Justus Thies, Otmar Hilliges
European Conference on Computer Vision (ECCV), 2024
2024 Joker: Conditional 3D Head Synthesis with Extreme Facial Expressions
Malte Prinzler, Egor Zakharov, Vanessa Sklyarova, Berna Kabadayi, Justus Thies
International Conference on 3D Vision (3DV), 2025
2024 Learning to Open and Traverse Doors with a Legged Manipulator
Mike Zhang, Yuntao Ma, Takahiro Miki, Marco Hutter
Proceedings of the 8th Conference on Robot Learning (CoRL), 2024
2024 IN-Sight: Interactive Navigation through Sight
Philipp Schoch, Fan Yang, Yuntao Ma, Stefan Leutenegger, Marco Hutter, Quentin Leboutet
IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2024
2024 Flow Matching for Atmospheric Retrieval of Exoplanets: Where Reliability meets Adaptive Noise Levels
Timothy D. Gebhard, Jonas Wildberger, Maximilian Dax, Annalena Kofler, Daniel Angerhausen, Sascha P. Quanz, Bernhard Schölkopf
Astronomy & Astrophysics
2024 Rawsamble: Overlapping and Assembling Raw Nanopore Signals using a Hash-based Seeding Mechanism
Can Firtina, Maximilian Mordig, Harun Mustafa, Sayan Goswami, Nika Mansouri Ghiasi, Stefano Mercogliano, Furkan Eris, Joël Lindegger, Andre Kahles, Onur Mutlu
arXiv preprint arXiv:2410.17801
2024 RoadRunner M&M - Learning Multi-Range Multi-Resolution Traversability Maps for Autonomous Off-Road Navigation
"Manthan Patel
IEEE Robotics and Automation Letters ( Volume: 9, Issue: 12, December 2024)
2024 Walker: self-supervised multiple object tracking by walking on temporal appearance graphs
Mattia Segu, Luigi Piccinelli, Siyuan Li, Luc Van Gool, Fisher Yu, Bernt Schiele
European Conference on Computer Vision (ECCV), 2024
2024 SLAck: Semantic, Location, and Appearance Aware Open-Vocabulary Tracking
Siyuan Li, Lei Ke, Yung-Hsu Yang, Luigi Piccinelli, Mattia Segù, Martin Danelljan, Luc Van Gool
European Conference on Computer Vision (ECCV), 2024
2024 Sensorized Soft Skin for Dexterous Robotic Hands
Jana Egli, Benedek Forrai, Thomas Buchner, Jiangtao Su, Xiaodong Chen, Robert K. Katzschmann
IEEE International Conference on Robotics and Automation (ICRA), Yokohama, Japan, 2024, pp. 18127-18133
2024 Do LLMs Think Fast and Slow? A Causal Study on Sentiment Analysis
Zhiheng Lyu, Zhijing Jin, Fernando Gonzalez Adauto, Rada Mihalcea, Bernhard Schölkopf, Mrinmaya Sachan
Conference on Empirical Methods in Natural Language Processing (EMNLP), 2024
2024 Multilingual Trolley Problems for Language Models
Zhijing Jin, Max Kleiman-Weiner, Giorgio Piatti, Sydney Levine, Jiarui Liu, Fernando Gonzalez, Francesco Ortu, András Strausz, Mrinmaya Sachan, Rada Mihalcea, Yejin Choi, Bernhard Schölkopf
International Conference on Learning Representations (ICLR) 2025 (spotlight)
2024 CausalQuest: Collecting Natural Causal Questions for AI Agents
Roberto Ceraolo, Dmitrii Kharlapenko, Amélie Reymond, Rada Mihalcea, Mrinmaya Sachan, Bernhard Schölkopf, Zhijing Jin
arXiv preprint arXiv:2405.20318
2024 Implicit Personalization in Language Models: A Systematic Study
Zhijing Jin, Nils Heil, Jiarui Liu, Shehzaad Dhuliawala, Yahang Qi, Bernhard Schölkopf, Rada Mihalcea, Mrinmaya Sachan
Conference on Empirical Methods in Natural Language Processing (EMNLP), 2024
2024 Cooperate or Collapse: Emergence of Sustainability Behaviors in a Society of LLM Agents
Giorgio Piatti, Zhijing Jin, Max Kleiman-Weiner, Bernhard Schölkopf, Mrinmaya Sachan, Rada Mihalcea
Advances in Neural Information Processing Systems (NeurIPS), 2024
2024 Moûsai: Text-to-Music Generation with Long-Context Latent Diffusion
Flavio Schneider, Ojasv Kamal, Zhijing Jin, Bernhard Schölkopf
Annual Meeting of the Association for Computational Linguistics (ACL), 2024
2024 Whose Preferences? Differences in Fairness Preferences and Their Impact on the Fairness of AI Utilizing Human Feedback
Emilia Agis Lerner, Florian E. Dorner, Elliott Ash, and Naman Goel
Annual Meeting of the Association for Computational Linguistics (ACL), 2024
2024 On the Crucial Role of Initialization for Matrix Factorization
Bingcong Li, Liang Zhang, Aryan Mokhtari, Niao He
International Conference on Learning Representations (ICLR) 2025
2024 Implicit Regularization of Sharpness-Aware Minimization for Scale-Invariant Problems
Bingcong Li, Liang Zhang, Niao He
Advances in Neural Information Processing Systems (NeurIPS), 2024
2024 MotionFix: Text-Driven 3D Human Motion Editing
Nikos Athanasiou, Alpár Cseke, Markos Diomataris, Michael J. Black and Gül Varol
SIGGRAPH Asia 2024 Conference Proceedings
2024 Theoretical characterisation of the Gauss-Newton conditioning in Neural Networks
Jim Zhao, Sidak Pal Singh, Aurelien Lucchi
Annual Conference on Neural Information Processing Systems (NeurIPS 2024)
2024 What Does It Mean to Be a Transformer? Insights from a Theoretical Hessian Analysis
Weronika Ormaniec, Felix Dangel, Sidak Pal Singh
arXiv preprint arXiv:2410.10986
2024 Local vs Global continual learning
Giulia Lanzillotta, Sidak Pal Singh, Benjamin F. Grewe, Thomas Hofmann
3rd Conference on Lifelong Learning Agents (CoLLAs 2024)
2024 Hallmarks of Optimization Trajectories in Neural Networks: Directional Exploration and Redundancy
Sidak Pal Singh, Bobby He, Thomas Hofmann, Bernhard Schölkopf
ICML 2024 Workshop on Theoretical Foundations of Foundation Models (TF2M@ICML 2024)
2024 Landscaping Linear Mode Connectivity
Sidak Pal Singh, Linara Adilova, Michael Kamp, Asja Fischer, Bernhard Schölkopf, Thomas Hofmann
HiLD workshop at International Conference on Machine Learning (ICML), 2024
2024 Closed form of the Hessian spectrum for some Neural Networks
Sidak Pal Singh, Thomas Hofmann
HiLD workshop at International Conference on Machine Learning (ICML), 2024
2024 Defining a Minimal Benchmark for Cardiovascular Risk Prediction Calculators in New England Electronic Health Record–Derived Cohort
Aniket N. Zinzuwadia, Olga Mineeva, Chunying Li, Zareen Farukhi, Franco Giulianini, Brian E. Cade, Lin Chen, Elizabeth W. Karlson, MS, Nina P. Paynter, Samia Mora, Olga V. Demler
Circulation: Cardiovascular Quality and Outcomes 17, e010439 (2024)
2024 FAMEWS: a Fairness Auditing tool for Medical Early-Warning Systems
Marine Hoche, Olga Mineeva, Manuel Burger, Alessandro Blasimme, Gunnar Ratsch
Proceedings of the fifth Conference on Health, Inference, and Learning, PMLR 248:297-311, 2024.
2024 Fracture risk prediction in postmenopausal women with traditional and machine learning models in a nationwide, prospective cohort study in Switzerland with validation in the UK Biobank
Oliver Lehmann, Olga Mineeva, Dinara Veshchezerova, HansJörg Häuselmann, Laura Guyer, Stephan Reichenbach, Thomas Lehmann, Olga Demler, Judith Everts-Graber, The Swiss Osteoporosis Registry Study Group
Journal of Bone and Mineral Research, 39, 1103–1112 (2024)
2024 Tailoring Risk Prediction Models to Local Populations
Aniket N Zinzuwadia, Olga Mineeva, Chunying Li, Zareen Farukhi, Franco Giulianini, Brian Cade, Lin Chen, Elizabeth Karlson, Nina Paynter, Samia Mora, Olga Demler
"JAMA Cardiol. 2024
2024 Development and validation of a novel 10-year residual risk score (RRS) in the UK Biobank and Massachusetts general Brigham populations for patients with established ASCVD
Olga Mineeva, Chunying Li, Franco Giulianini, Simeon Häfliger, Vadim Bubes, Gunnar Raetsch, Samia Mora, Olga Demler
Atherosclerosis, Volume 395, 118494 (2024)
2024 Stiffness-tunable velvet worm–inspired soft adhesive robot
Hyeongho Min, Daebeom Bae, Siyeon Jang, Sangmin Lee, Myungjin Park, Cem Balda Dayan, Jiwoong Choi, Keungyonh Bak, Yoosoo Yang, Sungwoo Chun and Metin Sitti
Sci. Adv.10, eadp8260(2024)
2024 Zero-Shot Offline Imitation Learning via Optimal Transport
Thomas Rupf, Marco Bagatella, Nico Gürtler, Jonas Frey, Georg Martius
arXiv preprint arXiv:2410.08751
2024 Leveraging Pretrained Latent Representations for Few-Shot Imitation Learning on an Anthropomorphic Robotic Hand
Davide Liconti, Yasunori Toshimitsu, Robert Katzschmann
IEEE-RAS 23rd International Conference on Humanoid Robots (Humanoids)
2024 Dynamic Electromagnetic Navigation
Jasan Zughaibi, Bradley J Nelson, Michael Muehlebach
arXiv preprint arXiv:2402.06012
2024 Problem Space Transformations for Out-of-Distribution Generalisation in Behavioural Cloning
Kiran Doshi, Marco Bagatella, Stelian Coros
arXiv preprint arXiv:2411.04056
2024 Problem Space Transformations for Generalisation in Behavioural Cloning
Kiran Doshi, Marco Bagatella, Stelian Coros
CoRL Workshop on Safe and Robust Robot Learning for Operation in the Real World, 2024
2024 Testing knowledge distillation theories with dataset size
Giulia Lanzillotta, Felix Sarnthein, Gil Kur, Thomas Hofmann, Bobby He
NeurIPS 2024 Workshop on Scientific Methods for Understanding Deep Learning
2024 Chathuman: Language-driven 3d human understanding with retrieval-augmented tool reasoning
Jing Lin, Yao Feng, Weiyang Liu, Michael J Black
arXiv preprint arXiv:2405.04533
2024 Uncertainty-Penalized Direct Preference Optimization
Sam Houliston, Alizée Pace, Alexander Immer, Gunnar Rätsch
NeurIPS 2024 Workshop on Fine-Tuning in Modern Machine Learning: Principles and Scalability
2024 Influence Functions for Scalable Data Attribution in Diffusion Models
Bruno Mlodozeniec, Runa Eschenhagen, Juhan Bae, Alexander Immer, David Krueger, Richard Turner
arXiv preprint arXiv:2410.13850
2024 Hodge-Aware Contrastive Learning
Alexander Möllers, Alexander Immer, Vincent Fortuin, Elvin Isufi
IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2024
2024 Position: Bayesian Deep Learning is Needed in the Age of Large-Scale AI
Theodore Papamarkou, Maria Skoularidou, Konstantina Palla, Laurence Aitchison, Julyan Arbel, David Dunson, Maurizio Filippone, Vincent Fortuin, Philipp Hennig, José Miguel Hernández-Lobato, Aliaksandr Hubin, Alexander Immer, Theofanis Karaletsos, Mohammad Emtiyaz Khan, Agustinus Kristiadi, Yingzhen Li, Stephan Mandt, Christopher Nemeth, Michael A Osborne, Tim GJ Rudner, David Rügamer, Yee Whye Teh, Max Welling, Andrew Gordon Wilson, Ruqi Zhang
International Conference on Machine Learning (ICML), 2024 (in proceedings)
2024 Uncertainty in graph contrastive learning with bayesian neural networks
Alexander Möllers, Alexander Immer, Elvin Isufi, Vincent Fortuin
arXiv preprint arXiv:2312.00232
2024 Prompting Depth Anything for 4K Resolution Accurate Metric Depth Estimation
Haotong Lin, Sida Peng, Jingxiao Chen, Songyou Peng, Jiaming Sun, Minghuan Liu, Hujun Bao, Jiashi Feng, Xiaowei Zhou, Bingyi Kang
arXiv preprint arXiv:2412.14015
2024 Ternary-Type Opacity and Hybrid Odometry for RGB NeRF-SLAM
Junru Lin, Asen Nachkov, Songyou Peng, Luc Van Gool, Danda Pani Paudel
IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2024
2024 WildGaussians: 3D Gaussian Splatting in the Wild
Jonas Kulhanek, Songyou Peng, Zuzana Kukelova, Marc Pollefeys, Torsten Sattler
Advances in Neural Information Processing Systems (NeurIPS), 2024
2024 OpenDAS: Open-Vocabulary Domain Adaptation for 2D and 3D Segmentation
Gonca Yilmaz, Songyou Peng, Marc Pollefeys, Francis Engelmann, Hermann Blum
arXiv preprint arXiv:2405.20141
2024 When llms step into the 3d world: A survey and meta-analysis of 3d tasks via multi-modal large language models
Xianzheng Ma, Yash Bhalgat, Brandon Smart, Shuai Chen, Xinghui Li, Jian Ding, Jindong Gu, Dave Zhenyu Chen, Songyou Peng, Jia-Wang Bian, Philip H Torr, Marc Pollefeys, Matthias Nießner, Ian D Reid, Angel X Chang, Iro Laina, Victor Adrian Prisacariu
arXiv preprint arXiv:2405.10255
2024 Nerf in robotics: A survey
Guangming Wang, Lei Pan, Songyou Peng, Shaohui Liu, Chenfeng Xu, Yanzi Miao, Wei Zhan, Masayoshi Tomizuka, Marc Pollefeys, Hesheng Wang
arXiv preprint arXiv:2405.01333
2024 OpenSUN3D: 1st Workshop Challenge on Open-Vocabulary 3D Scene Understanding
Francis Engelmann, Ayca Takmaz, Jonas Schult, Elisabetta Fedele, Johanna Wald, Songyou Peng, Xi Wang, Or Litany, Siyu Tang, Federico Tombari, Marc Pollefeys, Leonidas Guibas, Hongbo Tian, Chunjie Wang, Xiaosheng Yan, Bingwen Wang, Xuanyang Zhang, Xiao Liu, Phuc Nguyen, Khoi Nguyen, Anh Tran, Cuong Pham, Zhening Huang, Xiaoyang Wu, Xi Chen, Hengshuang Zhao, Lei Zhu, Joan Lasenby
arXiv preprint arXiv:2402.15321
2024 DepthSplat: Connecting Gaussian Splatting and Depth
Haofei Xu, Songyou Peng, Fangjinhua Wang, Hermann Blum, Daniel Barath, Andreas Geiger, Marc Pollefeys
arXiv preprint arXiv:2410.13862
2024 Causal Adversarial Perturbations for Individual Fairness and Robustness in Heterogeneous Data Spaces
Ahmad-Reza Ehyaei, Kiarash Mohammadi, Amir-Hossein Karimi, Samira Samadi, Golnoosh Farnadi
Proceedings of the AAAI Conference on Artificial Intelligence 38, 11847-11855 (2024)
2024 Probabilistic Models and Approximate Inference Methods for Structured Data
Nicolò Ruggeri
Doctoral Thesis, ETH Zurich
2024 Advances in Bayesian Model Selection and Uncertainty Estimation for Deep Learning
Alexander Immer
Doctoral Thesis, ETH Zurich
2024 Learning Digital Human from Vision and Language
Yao Feng
Doctoral Thesis, ETH Zurich
2024 Learning to align single-cell populations
Stefan Stark
Doctoral Thesis, ETH Zurich
2024 X-ICP: Localizability-Aware LiDAR Registration for Robust Localization in Extreme Environments
T. Tuna, J. Nubert, Y. Nava, S. Khattak and M. Hutter
IEEE Transactions on Robotics, vol. 40, pp. 452-471, 2024
2024 Rawsamble: Overlapping and Assembling Raw Nanopore Signals using a Hash-based Seeding Mechanism
Firtina, C., Mordig, M., Mustafa, H., Goswami, S., Ghiasi, N.M., Mercogliano, S., Eris, F., Lindegger, J., Kahles, A. and Mutlu, O.
arXiv preprint arXiv:2410.17801
2024 SceneFun3D: Fine-Grained Functionality and Affordance Understanding in 3D Scenes 
A. Delitzas, A. Takmaz, F. Tombari, R. Sumner, M. Pollefeys and F. Engelman
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2024
2024 Online Feedback Optimization over Networks: A Distributed Model-Free Approach
W. Wang, Z. He, G. Belgioioso, S. Bolognani and F. Dörfler
IEEE 63rd Conference on Decision and Control (CDC), Milan, Italy, 2024, pp. 2403-2408
2024 Decentralized Feedback Optimization via Sensitivity Decoupling: Stability and Sub-optimality
W. Wang, Z. He, G. Belgioioso, S. Bolognani and F. Dorfle
European Control Conference (ECC), Stockholm, Sweden, 2024, pp. 3201-3206
2024 Private and Robust Distributed Nonconvex Optimization via Polynomial Approximation
Z. He, J. He, C. Chen and X. Guan
IEEE Transactions on Control of Network Systems, vol. 11, no. 3, pp. 1679-1691, Sept. 2024
2024 Distributed Nonconvex Optimization: Gradient-free Iterations and ϵ-Globally Optimal Solution
Z. He, J. He, C. Chen and X. Guan
IEEE Transactions on Control of Network Systems, vol. 11, no. 4, pp. 2239-2251, Dec. 2024
2024 Framework to generate hypergraphs with community structure
Ruggeri, Nicolo' and Battiston, Federico and De Bacco, Caterina
2024 Structure and inference in hypergraphs with node attributes
Badalyan, Anna and Ruggeri, Nicolò and {De Bacco}, Caterina
2024 Message-Passing on Hypergraphs: Detectability, Phase Transitions and Higher-Order Information
Ruggeri, Nicolò and Lonardi, Alessandro and {De Bacco}, Caterina
2024 Towards Meta-Pruning via Optimal Transport
Theus, A. and Geimer, O. and Wicke, F. and Hofmann, T. and Anagnostidis, S. and Singh, S. P.
2024 Towards Training Without Depth Limits: Batch Normalization Without Gradient Explosion
Meterez*, A. and Joudaki*, A. and Orabona, F. and Immer, A. and R{\"a}tsch, G. and Daneshmand, H.
2024 Improving Neural Additive Models with Bayesian Principles
Bouchiat, K. and Immer, A. and Y\`{e}che, H. and R{\"a}tsch, G. and Fortuin, V.
2024 Do Causal Predictors Generalize Better to New Domains?
Nastl, Vivian Y. and Hardt, Moritz
2024 Electrohydraulic Musculoskeletal Robotic Leg for Agile, Adaptive, yet Energy-Efficient Locomotion
Buchner, Thomas J. K. and Fukushima, Toshihiko and Kazemipour, Amirhossein and Gravert, Stephan-Daniel and Prairie, Manon and Romanescu, Pascal and Arm, Philip and Zhang, Yu and Wang, Xingrui and Zhang, Steven L. and Walter, Johannes and Keplinger, Christoph and Katzschmann, Robert K.
2024 Analytical Uncertainty-Based Loss Weighting in Multi-Task Learning
Kirchdorfer, Lukas and Elich, Cathrin and Kutsche, Simon and Stuckenschmidt, Heiner and Schott, Lukas and Köhler, Jan M.
2024 On Affine Homotopy between Language Encoders
Chan, R. and Bourmasmoud, R. and Svete, A. and Ren, Y. and Guo, Q. and Jin, Z. and Ravfogel, S. and Sachan, M. and Sch{\"o}lkopf, B. and El-Assady, M. and Cotterell, R.
2024 Hierarchical Nanostructures as Acoustically Manipulatable Multifunctional Agents in Dynamic Fluid Flow
Kim, Dong Wook and Wrede, Paul and Estrada, Hector and Yildiz, Erdost and Lazovic, Jelena and Bhargava, Aarushi and Razansky, Daniel and Sitti, Metin
2024 Online Performance Optimization of Nonlinear Systems: A Gray-Box Approach
He, Zhiyu and Muehlebach, Michael and Bolognani, Saverio and Dörfler, Florian
2024 Online Optimization of Closed-Loop Control Systems
Ma, Hao and Zeilinger, Melanie and Muehlebach, Michael
2024 Directed Exploration in Reinforcement Learning from Linear Temporal Logic
Bagatella, Marco and Krause, Andreas and Martius, Georg
2024 SENSEI: Semantic Exploration Guided by Foundation Models to Learn Versatile World Models
Sancaktar, Cansu and Gumbsch, Christian and Zadaianchuk, Andrii and Kolev, Pavel and Martius, Georg
2024 Shaving Weights with Occam's Razor: Bayesian Sparsification for Neural Networks using the Marginal Likelihood
Dhahri, R. and Immer, A. and Charpentier, B. and G{\"u}nnemann, S. and Fortuin, V.
2024 Accelerating the pace of innovation in robotics by fostering diversity and inclusive leadership
Macari, Daniela and Fratzl, Alex and Keplinger, Ksenia and Keplinger, Christoph
2024 Probabilistic pathway-based multimodal factor analysis
Immer, A. and Stark, S. G. and Jacob, F. and Bonilla, X. and Thomas, T. and Kahles, A. and Goetze, S. and Milani, E. S. and Wollscheid, B. and {The Tumor Profiler Consortium} and R{\"a}tsch, G. and Lehmann, K.-V.
2024 Causality for Natural Language Processing
Jin, Z.
2024 Investigating Shape Priors, Relationships, and Multi-Task Cues for Object-level Scene Understanding
Elich, Cathrin
2024 Accelerating the pace of innovation in robotics by fostering diversity and inclusive leadership
Macari, Daniela and Fratzl, Alex and Keplinger, Ksenia and Keplinger, Christoph
2023 Batch Normalization Embeddings for Deep Domain Generalization
Mattia Segu, Alessio Tonioni, Federico Tombari
Pattern Recognition,135, 109115 (2023)
2023 On the Intersection of Context-Free and Regular Languages
Clemente Pasti, Andreas Opedal, Tiago Pimentel, Tim Vieira, Jason Eisner, and Ryan Cotterell
Proceedings of the Conference of the European Chapter of the Association for Computational Linguistics (2023)
2023 Linearized Laplace Inference in Neural Additive Models 
Kouroche Bouchiat, Alexander Immer, Hugo Yèche, Vincent Fortuin
5th Symposium on Advances in Approximate Bayesian Inference (AABI 2023)
2023 Promises and Pitfalls of the Linearized Laplace in Bayesian Optimization 
Agustinus Kristiadi, Alexander Immer, Runa Eschenhagen, Vincent Fortuin
5th Symposium on Advances in Approximate Bayesian Inference (AABI 2023)
2023 Uncertainty in Graph Contrastive Learning with Bayesian Neural Networks 
Alexander Möllers, Alexander Immer, Elvin Isufi, Vincent Fortuin
5th Symposium on Advances in Approximate Bayesian Inference (AABI 2023)
2023 A Flexible, Interpretable Approach to Recalibrate Risk Prediction Models: Adapting the Pooled Cohorts Equation to a Local New England Contemporary Population
Aniket N Zinzuwadia, Olga Mineeva, Chunying Li, Lin Chen, Brian Cade, Elizabeth Karlson, Zareen Farukhi, Nina Paynter, Samia Mora, and Olga Demler
Circulation 147, Number Suppl_1
2023 Normalization Perturbation: A Simple Domain Generalization Method for Real-World Domain Shifts
Q. Fan, M. Segu, Y.-W. Tai, F. Yu, C.-K. Tang, B. Schiele and D. Dai
International Conference on Learning Representations (ICLR), 2023
2023 Batch Normalization Embeddings for Deep Domain Generalization
Mattia Segu, Alessio Tonioni, Federico Tombari
Pattern Recognition (PR), 2023
2023 Learning Zero-Sum Linear Quadratic Games with Improved Sample Complexity
Jiduan Wu, Anas Barakat, Ilyas Fatkhullin, Niao He
62nd IEEE Conference on Decision and Control (CDC), Singapore, Singapore, 2023
2023 ResMiCo: Increasing the quality of metagenome-assembled genomes with deep learning
Mineeva*, O. and Danciu*, D. and Sch{\"o}lkopf, B. and Ley, R. E. and R{\"a}tsch, G. and Youngblut, N. D.
2023 Incentivizing Honesty among Competitors in Collaborative Learning and Optimization
Dorner, Florian E. and Konstantinov, Nikola and Pashaliev, Georgi and Vechev, Martin
2023 Human-Guided Fair Classification for Natural Language Processing
Dorner, Florian E. and Peychev, Momchil and Konstantinov, Nikola and Goel, Naman and Ash, Elliott and Vechev, Martin
2022 Optimal Brain Compression: A Framework for Accurate Post-Training Quantization and Pruning
Elias Frantar, Sidak Pal Singh, Dan Alistarh
Advances in Neural Information Processing Systems (NeurIPS), 2022
2020 Safe and Fast Tracking on a Robot Manipulator: Robust MPC and Neural Network Control
Julian Nubert and Johannes Koehler and Vincent Berenz and Frank Allgower and Sebastian Trimpe