Stefan Bauer - RankMe

188 papers A* 34A 4Misc 1Journal 122Unranked 25

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Are Object-Centric Representations Better At Compositional Generalization? CoRR Ferdinand Kapl, Amir Mohammad Karimi-Mamaghan, Maximilian Seitzer, Karl Henrik Johansson, Carsten Marr, Stefan Bauer, Andrea Dittadi
2026	J	`jnl`	From Growing to Looping: A Unified View of Iterative Computation in LLMs. CoRR Ferdinand Kapl, Emmanouil Angelis, Kaitlin Maile, Johannes von Oswald, Stefan Bauer
2026	J	`jnl`	From Words to Amino Acids: Does the Curse of Depth Persist? CoRR Aleena Siji, Amir Mohammad Karimi-Mamaghan, Ferdinand Kapl, Tobias Höppe, Emmanouil Angelis, Andrea Dittadi, Maurice Brenner, Michael Heinzinger, Karl Henrik Johansson, Kaitlin Maile, Johannes von Oswald, Stefan Bauer
2026	J	`jnl`	ViroGym: Realistic Large-Scale Benchmarks for Evaluating Viral Proteins. CoRR Yichen Zhou, Jonathan Golob, Amir Karimi, Stefan Bauer, Patrick Schwab
2025	J	`jnl`	A scalable gene network model of regulatory dynamics in single cells. CoRR Paul Bertin, Joseph D. Viviano, Alejandro Tejada-Lapuerta, Weixu Wang, Stefan Bauer, Fabian J. Theis, Yoshua Bengio
2025	J	`jnl`	AI Alignment in Medical Imaging: Unveiling Hidden Biases Through Counterfactual Analysis. CoRR Haroui Ma, Francesco Quinzan, Theresa Willem, Stefan Bauer
2025	J	`jnl`	Breaking the Likelihood-Quality Trade-off in Diffusion Models by Merging Pretrained Experts. CoRR Yasin Esfandiari, Stefan Bauer, Sebastian U. Stich, Andrea Dittadi
2025	J	`jnl`	Causal Bayesian Optimization with Unknown Graphs. CoRR Jean Durand, Yashas Annadani, Stefan Bauer, Sonali Parbhoo
2025	J	`jnl`	Deep active optimization for complex systems. Nat. Comput. Sci. Ye Wei, Bo Peng, Ruiwen Xie, Yangtao Chen, Yu Qin, Peng Wen, Stefan Bauer, Po-Yen Tung, Dierk Raabe
2025	J	`jnl`	Do Depth-Grown Models Overcome the Curse of Depth? An In-Depth Analysis. CoRR Ferdinand Kapl, Emmanouil Angelis, Tobias Höppe, Kaitlin Maile, Johannes von Oswald, Nino Scherrer, Stefan Bauer
2025	J	`jnl`	Double Machine Learning Based Structure Identification from Temporal Data. Trans. Mach. Learn. Res. Emmanouil Angelis, Francesco Quinzan, Ashkan Soleymani, Patrick Jaillet, Stefan Bauer
2025	A*	`conf`	Exploring the Effectiveness of Object-Centric Representations in Visual Question Answering: Comparative Insights with Foundation Models. ICLR Amir Mohammad Karimi-Mamaghan, Samuele Papa, Karl Henrik Johansson, Stefan Bauer, Andrea Dittadi
2025	J	`jnl`	Foundations of Diffusion Models in General State Spaces: A Self-Contained Introduction. CoRR Vincent Pauline, Tobias Höppe, Kirill Neklyudov, Alexander Tong, Stefan Bauer, Andrea Dittadi
2025	J	`jnl`	Jasmine: A Simple, Performant and Scalable JAX-based World Modeling Codebase. CoRR Mihir Mahajan, Alfred Nguyen, Franz Srambical, Stefan Bauer
2025	J	`jnl`	Learning Decision Trees as Amortized Structure Inference. CoRR Mohammed Mahfoud, Ghait Boukachab, Michal Koziarski, Alex Hernández-García, Stefan Bauer, Yoshua Bengio, Nikolay Malkin
2025	J	`jnl`	Measuring temporal effects of agent knowledge by date-controlled tool use. CoRR R. Patrick Xian, Qiming Cui, Stefan Bauer, Reza Abbasi-Asl
2025	J	`jnl`	Minimum-Excess-Work Guidance. CoRR Christopher Kolloff, Tobias Höppe, Emmanouil Angelis, Mathias Jacob Schreiner, Stefan Bauer, Andrea Dittadi, Simon Olsson
2025	—	`conf`	Panopticon: Advancing Any-Sensor Foundation Models for Earth Observation. CVPR Workshops Leonard Waldmann, Ando Shah, Yi Wang, Nils Lehmann, Adam J. Stewart, Zhitong Xiong, Xiao Xiang Zhu, Stefan Bauer, John Chuang
2025	J	`jnl`	Panopticon: Advancing Any-Sensor Foundation Models for Earth Observation. CoRR Leonard Waldmann, Ando Shah, Yi Wang, Nils Lehmann, Adam J. Stewart, Zhitong Xiong, Xiao Xiang Zhu, Stefan Bauer, John Chuang
2025	J	`jnl`	Preference-Guided Diffusion for Multi-Objective Offline Optimization. CoRR Yashas Annadani, Syrine Belakaria, Stefano Ermon, Stefan Bauer, Barbara E. Engelhardt
2025	J	`jnl`	Robustness tests for biomedical foundation models should tailor to specification. CoRR R. Patrick Xian, Noah R. Baker, Tom David, Qiming Cui, A Jay Holmgren, Stefan Bauer, Madhumita Sushil, Reza Abbasi-Asl
2025	J	`jnl`	Robustness tests for biomedical foundation models should tailor to specifications. npj Digit. Medicine R. Patrick Xian, Noah R. Baker, Tom David, Qiming Cui, A Jay Holmgren, Stefan Bauer, Madhumita Sushil, Reza Abbasi-Asl
2024	A*	`conf`	Amortized Active Causal Induction with Deep Reinforcement Learning. NeurIPS Yashas Annadani, Panagiotis Tigas, Stefan Bauer, Adam Foster
2024	J	`jnl`	Amortized Active Causal Induction with Deep Reinforcement Learning. CoRR Yashas Annadani, Panagiotis Tigas, Stefan Bauer, Adam Foster
2024	J	`jnl`	An Exploration of Hackathons as Time Intense and Collaborative Forms of Crowdsourcing. IEEE Trans. Engineering Management Michela Beretta, Nikolaus Obwegeser, Stefan Bauer
2024	J	`jnl`	Causal machine learning for predicting treatment outcomes. CoRR Stefan Feuerriegel, Dennis Frauen, Valentyn Melnychuk, Jonas Schweisthal, Konstantin Hess, Alicia Curth, Stefan Bauer, Niki Kilbertus, Isaac S. Kohane, Mihaela van der Schaar
2024	A*	`conf`	Challenges and Considerations in the Evaluation of Bayesian Causal Discovery. ICML Amir Mohammad Karimi-Mamaghan, Panagiotis Tigas, Karl Henrik Johansson, Yarin Gal, Yashas Annadani, Stefan Bauer
2024	J	`jnl`	Challenges and Considerations in the Evaluation of Bayesian Causal Discovery. CoRR Amir Mohammad Karimi-Mamaghan, Panagiotis Tigas, Karl Henrik Johansson, Yarin Gal, Yashas Annadani, Stefan Bauer
2024	J	`jnl`	Derivative-free tree optimization for complex systems. CoRR Ye Wei, Bo Peng, Ruiwen Xie, Yangtao Chen, Yu Qin, Peng Wen, Stefan Bauer, Po-Yen Tung
2024	J	`jnl`	Diffusion-Based Causal Representation Learning. Entropy Amir Mohammad Karimi-Mamaghan, Andrea Dittadi, Stefan Bauer, Karl Henrik Johansson, Francesco Quinzan
2024	J	`jnl`	Exploring the Effectiveness of Object-Centric Representations in Visual Question Answering: Comparative Insights with Foundation Models. CoRR Amir Mohammad Karimi-Mamaghan, Samuele Papa, Karl Henrik Johansson, Stefan Bauer, Andrea Dittadi
2024	J	`jnl`	Opportunities for machine learning in scientific discovery. CoRR Ricardo Vinuesa, Jean Rabault, Hossein Azizpour, Stefan Bauer, Bingni W. Brunton, Arne Elofsson, Elias Jarlebring, Hedvig Kjellström, Stefano Markidis, David Marlevi, Paola Cinnella, Steven L. Brunton
2024	J	`jnl`	The Essential Role of Causality in Foundation World Models for Embodied AI. CoRR Tarun Gupta, Wenbo Gong, Chao Ma, Nick Pawlowski, Agrin Hilmkil, Meyer Scetbon, Ade Famoti, Ashley Juan Llorens, Jianfeng Gao, Stefan Bauer, Danica Kragic, Bernhard Schölkopf, Cheng Zhang
2023	J	`jnl`	A machine learning route between band mapping and band structure. Nat. Comput. Sci. R. Patrick Xian, Vincent Stimper, Marios Zacharias, Maciej Dendzik, Shuo Dong, Samuel Beaulieu, Bernhard Schölkopf, Martin Wolf, Laurenz Rettig, Christian Carbogno, Stefan Bauer, Ralph Ernstorfer
2023	A*	`conf`	BayesDAG: Gradient-Based Posterior Inference for Causal Discovery. NeurIPS Yashas Annadani, Nick Pawlowski, Joel Jennings, Stefan Bauer, Cheng Zhang, Wenbo Gong
2023	J	`jnl`	BayesDAG: Gradient-Based Posterior Sampling for Causal Discovery. CoRR Yashas Annadani, Nick Pawlowski, Joel Jennings, Stefan Bauer, Cheng Zhang, Wenbo Gong
2023	J	`jnl`	Benchmarking Bayesian Causal Discovery Methods for Downstream Treatment Effect Estimation. CoRR Chris Chinenye Emezue, Alexandre Drouin, Tristan Deleu, Stefan Bauer, Yoshua Bengio
2023	A*	`conf`	Benchmarking Offline Reinforcement Learning on Real-Robot Hardware. ICLR Nico Gürtler, Sebastian Blaes, Pavel Kolev, Felix Widmaier, Manuel Wuthrich, Stefan Bauer, Bernhard Schölkopf, Georg Martius
2023	J	`jnl`	Benchmarking Offline Reinforcement Learning on Real-Robot Hardware. CoRR Nico Gürtler, Sebastian Blaes, Pavel Kolev, Felix Widmaier, Manuel Wüthrich, Stefan Bauer, Bernhard Schölkopf, Georg Martius
2023	J	`jnl`	Causal machine learning for single-cell genomics. CoRR Alejandro Tejada-Lapuerta, Paul Bertin, Stefan Bauer, Hananeh Aliee, Yoshua Bengio, Fabian J. Theis
2023	A*	`conf`	DRCFS: Doubly Robust Causal Feature Selection. ICML Francesco Quinzan, Ashkan Soleymani, Patrick Jaillet, Cristian R. Rojas, Stefan Bauer
2023	J	`jnl`	DRCFS: Doubly Robust Causal Feature Selection. CoRR Francesco Quinzan, Ashkan Soleymani, Patrick Jaillet, Cristian R. Rojas, Stefan Bauer
2023	J	`jnl`	Dexterous robotic manipulation using deep reinforcement learning and knowledge transfer for complex sparse reward-based tasks. Expert Syst. J. Knowl. Eng. Qiang Wang, Francisco Roldan Sanchez, Robert McCarthy, David Cordova Bulens, Kevin McGuinness, Noel E. O'Connor, Manuel Wüthrich, Felix Widmaier, Stefan Bauer, Stephen J. Redmond
2023	A*	`conf`	Differentiable Multi-Target Causal Bayesian Experimental Design. ICML Panagiotis Tigas, Yashas Annadani, Desi R. Ivanova, Andrew Jesson, Yarin Gal, Adam Foster, Stefan Bauer
2023	J	`jnl`	Differentiable Multi-Target Causal Bayesian Experimental Design. CoRR Yashas Annadani, Panagiotis Tigas, Desi R. Ivanova, Andrew Jesson, Yarin Gal, Adam Foster, Stefan Bauer
2023	J	`jnl`	Diffusion Based Causal Representation Learning. CoRR Amir Mohammad Karimi-Mamaghan, Andrea Dittadi, Stefan Bauer, Karl Henrik Johansson, Francesco Quinzan
2023	A*	`conf`	Diffusion Based Representation Learning. ICML Sarthak Mittal, Korbinian Abstreiter, Stefan Bauer, Bernhard Schölkopf, Arash Mehrjou
2023	J	`jnl`	DiscoBAX: Discovery of Optimal Intervention Sets in Genomic Experiment Design. CoRR Clare Lyle, Arash Mehrjou, Pascal Notin, Andrew Jesson, Stefan Bauer, Yarin Gal, Patrick Schwab
2023	A*	`conf`	DiscoBAX: Discovery of optimal intervention sets in genomic experiment design. ICML Clare Lyle, Arash Mehrjou, Pascal Notin, Andrew Jesson, Stefan Bauer, Yarin Gal, Patrick Schwab
2023	J	`jnl`	Doubly Robust Structure Identification from Temporal Data. CoRR Emmanouil Angelis, Francesco Quinzan, Ashkan Soleymani, Patrick Jaillet, Stefan Bauer
2023	J	`jnl`	Neural Causal Structure Discovery from Interventions. Trans. Mach. Learn. Res. Nan Rosemary Ke, Olexa Bilaniuk, Anirudh Goyal, Stefan Bauer, Hugo Larochelle, Bernhard Schölkopf, Michael Curtis Mozer, Christopher Pal, Yoshua Bengio
2023	J	`jnl`	Pyfectious: An individual-level simulator to discover optimal containment policies for epidemic diseases. PLoS Comput. Biol. Arash Mehrjou, Ashkan Soleymani, Amin Abyaneh, Samir Bhatt, Bernhard Schölkopf, Stefan Bauer
2023	J	`jnl`	Real Robot Challenge 2022: Learning Dexterous Manipulation from Offline Data in the Real World. CoRR Nico Gürtler, Felix Widmaier, Cansu Sancaktar, Sebastian Blaes, Pavel Kolev, Stefan Bauer, Manuel Wüthrich, Markus Wulfmeier, Martin A. Riedmiller, Arthur Allshire, Qiang Wang, Robert McCarthy, Hangyeol Kim, Jongchan Baek, Wookyong Kwon, Shanliang Qian, Yasunori Toshimitsu, Mike Yan Michelis, Amirhossein Kazemipour, Arman Raayatsanati, Hehui Zheng, Barnabas Gavin Cangan, Bernhard Schölkopf, Georg Martius
2023	A*	`conf`	Structure by Architecture: Structured Representations without Regularization. ICLR Felix Leeb, Giulia Lanzillotta, Yashas Annadani, Michel Besserve, Stefan Bauer, Bernhard Schölkopf
2023	A*	`conf`	Trust Your 𝛁: Gradient-based Intervention Targeting for Causal Discovery. NeurIPS Mateusz Olko, Michal Zajac, Aleksandra Nowak, Nino Scherrer, Yashas Annadani, Stefan Bauer, Lukasz Kucinski, Piotr Milos
2023	J	`jnl`	Understanding Causality with Large Language Models: Feasibility and Opportunities. CoRR Cheng Zhang, Stefan Bauer, Paul Bennett, Jiangfeng Gao, Wenbo Gong, Agrin Hilmkil, Joel Jennings, Chao Ma, Tom Minka, Nick Pawlowski, James Vaughan
2022	A*	`conf`	Adaptive Gaussian Process Change Point Detection. ICML Edoardo Caldarelli, Philippe Wenk, Stefan Bauer, Andreas Krause
2022	J	`jnl`	Bayesian Structure Learning with Generative Flow Networks. CoRR Tristan Deleu, António Góis, Chris Emezue, Mansi Rankawat, Simon Lacoste-Julien, Stefan Bauer, Yoshua Bengio
2022	A	`conf`	Bayesian structure learning with generative flow networks. UAI Tristan Deleu, António Góis, Chris Emezue, Mansi Rankawat, Simon Lacoste-Julien, Stefan Bauer, Yoshua Bengio
2022	J	`jnl`	Benchmarking Structured Policies and Policy Optimization for Real-World Dexterous Object Manipulation. IEEE Robotics Autom. Lett. Niklas Funk, Charles B. Schaff, Rishabh Madan, Takuma Yoneda, Julen Urain De Jesus, Joe Watson, Ethan K. Gordon, Felix Widmaier, Stefan Bauer, Siddhartha S. Srinivasa, Tapomayukh Bhattacharjee, Matthew R. Walter, Jan Peters
2022	J	`jnl`	Causal Feature Selection via Orthogonal Search. Trans. Mach. Learn. Res. Ashkan Soleymani, Anant Raj, Stefan Bauer, Bernhard Schölkopf, Michel Besserve
2022	—	`ch.`	Causal Models for Dynamical Systems. Probabilistic and Causal Inference Jonas Peters, Stefan Bauer, Niklas Pfister
2022	J	`jnl`	Compositional Multi-Object Reinforcement Learning with Linear Relation Networks. CoRR Davide Mambelli, Frederik Träuble, Stefan Bauer, Bernhard Schölkopf, Francesco Locatello
2022	J	`jnl`	Conditional Generation of Medical Time Series for Extrapolation to Underrepresented Populations. CoRR Simon Bing, Andrea Dittadi, Stefan Bauer, Patrick Schwab
2022	J	`jnl`	Dexterous Robotic Manipulation using Deep Reinforcement Learning and Knowledge Transfer for Complex Sparse Reward-based Tasks. CoRR Qiang Wang, Francisco Roldan Sanchez, Robert McCarthy, David Cordova Bulens, Kevin McGuinness, Noel E. O'Connor, Manuel Wüthrich, Felix Widmaier, Stefan Bauer, Stephen J. Redmond
2022	J	`jnl`	Diffusion Models for Video Prediction and Infilling. CoRR Tobias Höppe, Arash Mehrjou, Stefan Bauer, Didrik Nielsen, Andrea Dittadi
2022	J	`jnl`	Diffusion Models for Video Prediction and Infilling. Trans. Mach. Learn. Res. Tobias Höppe, Arash Mehrjou, Stefan Bauer, Didrik Nielsen, Andrea Dittadi
2022	A*	`conf`	Exploring the Latent Space of Autoencoders with Interventional Assays. NeurIPS Felix Leeb, Stefan Bauer, Michel Besserve, Bernhard Schölkopf
2022	J	`jnl`	FED-CD: Federated Causal Discovery from Interventional and Observational Data. CoRR Amin Abyaneh, Nino Scherrer, Patrick Schwab, Stefan Bauer, Bernhard Schölkopf, Arash Mehrjou
2022	J	`jnl`	Federated Learning in Multi-Center Critical Care Research: A Systematic Case Study using the eICU Database. CoRR Arash Mehrjou, Ashkan Soleymani, Annika Buchholz, Jürgen Hetzel, Patrick Schwab, Stefan Bauer
2022	J	`jnl`	From Points to Functions: Infinite-dimensional Representations in Diffusion Models. CoRR Sarthak Mittal, Guillaume Lajoie, Stefan Bauer, Arash Mehrjou
2022	A*	`conf`	GeneDisco: A Benchmark for Experimental Design in Drug Discovery. ICLR Arash Mehrjou, Ashkan Soleymani, Andrew Jesson, Pascal Notin, Yarin Gal, Stefan Bauer, Patrick Schwab
2022	A*	`conf`	Interventions, Where and How? Experimental Design for Causal Models at Scale. NeurIPS Panagiotis Tigas, Yashas Annadani, Andrew Jesson, Bernhard Schölkopf, Yarin Gal, Stefan Bauer
2022	J	`jnl`	Interventions, Where and How? Experimental Design for Causal Models at Scale. CoRR Panagiotis Tigas, Yashas Annadani, Andrew Jesson, Bernhard Schölkopf, Yarin Gal, Stefan Bauer
2022	J	`jnl`	Invariant Causal Mechanisms through Distribution Matching. CoRR Mathieu Chevalley, Charlotte Bunne, Andreas Krause, Stefan Bauer
2022	J	`jnl`	Latent Variable Models for Bayesian Causal Discovery. CoRR Jithendaraa Subramanian, Yashas Annadani, Ivaxi Sheth, Stefan Bauer, Derek Nowrouzezahrai, Samira Ebrahimi Kahou
2022	J	`jnl`	Learning Latent Structural Causal Models. CoRR Jithendaraa Subramanian, Yashas Annadani, Ivaxi Sheth, Nan Rosemary Ke, Tristan Deleu, Stefan Bauer, Derek Nowrouzezahrai, Samira Ebrahimi Kahou
2022	J	`jnl`	On the Generalization and Adaption Performance of Causal Models. CoRR Nino Scherrer, Anirudh Goyal, Stefan Bauer, Yoshua Bengio, Nan Rosemary Ke
2022	J	`jnl`	Physical Derivatives: Computing policy gradients by physical forward-propagation. CoRR Arash Mehrjou, Ashkan Soleymani, Stefan Bauer, Bernhard Schölkopf
2022	J	`jnl`	Predicting the protein-ligand affinity from molecular dynamics trajectories. CoRR Yaosen Min, Ye Wei, Peizhuo Wang, Nian Wu, Stefan Bauer, Shuxin Zheng, Yu Shi, Yingheng Wang, Dan Zhao, Ji Wu, Jianyang Zeng
2022	J	`jnl`	Selection of unlabeled source domains for domain adaptation in remote sensing. Array Christian Geiß, Alexander Rabuske, Patrick Aravena Pelizari, Stefan Bauer, Hannes Taubenböck
2022	A*	`conf`	The Role of Pretrained Representations for the OOD Generalization of RL Agents. ICLR Frederik Träuble, Andrea Dittadi, Manuel Wuthrich, Felix Widmaier, Peter Vincent Gehler, Ole Winther, Francesco Locatello, Olivier Bachem, Bernhard Schölkopf, Stefan Bauer
2022	A	`conf`	Transferring Dexterous Manipulation from GPU Simulation to a Remote Real-World TriFinger. IROS Arthur Allshire, Mayank Mittal, Varun Lodaya, Viktor Makoviychuk, Denys Makoviichuk, Felix Widmaier, Manuel Wüthrich, Stefan Bauer, Ankur Handa, Animesh Garg
2022	J	`jnl`	Trust Your ∇: Gradient-based Intervention Targeting for Causal Discovery. CoRR Mateusz Olko, Michal Zajac, Aleksandra Nowak, Nino Scherrer, Yashas Annadani, Stefan Bauer, Lukasz Kucinski, Piotr Milos
2021	J	`jnl`	A Robot Cluster for Reproducible Research in Dexterous Manipulation. CoRR Stefan Bauer, Felix Widmaier, Manuel Wüthrich, Niklas Funk, Julen Urain De Jesus, Jan Peters, Joe Watson, Claire Chen, Krishnan Srinivasan, Junwu Zhang, Jeffrey Zhang, Matthew R. Walter, Rishabh Madan, Charles B. Schaff, Takahiro Maeda, Takuma Yoneda, Denis Yarats, Arthur Allshire, Ethan K. Gordon, Tapomayukh Bhattacharjee, Siddhartha S. Srinivasa, Animesh Garg, Annika Buchholz, Sebastian Stark, Thomas Steinbrenner, Joel Akpo, Shruti Joshi, Vaibhav Agrawal, Bernhard Schölkopf
2021	J	`jnl`	Benchmarking Structured Policies and Policy Optimization for Real-World Dexterous Object Manipulation. CoRR Niklas Funk, Charles B. Schaff, Rishabh Madan, Takuma Yoneda, Julen Urain De Jesus, Joe Watson, Ethan K. Gordon, Felix Widmaier, Stefan Bauer, Siddhartha S. Srinivasa, Tapomayukh Bhattacharjee, Matthew R. Walter, Jan Peters
2021	J	`jnl`	Boxhead: A Dataset for Learning Hierarchical Representations. CoRR Yukun Chen, Frederik Träuble, Andrea Dittadi, Stefan Bauer, Bernhard Schölkopf
2021	A*	`conf`	CausalWorld: A Robotic Manipulation Benchmark for Causal Structure and Transfer Learning. ICLR Ossama Ahmed, Frederik Träuble, Anirudh Goyal, Alexander Neitz, Manuel Wuthrich, Yoshua Bengio, Bernhard Schölkopf, Stefan Bauer
2021	A*	`conf`	Function Contrastive Learning of Transferable Meta-Representations. ICML Muhammad Waleed Gondal, Shruti Joshi, Nasim Rahaman, Stefan Bauer, Manuel Wuthrich, Bernhard Schölkopf
2021	J	`jnl`	GeneDisco: A Benchmark for Experimental Design in Drug Discovery. CoRR Arash Mehrjou, Ashkan Soleymani, Andrew Jesson, Pascal Notin, Yarin Gal, Stefan Bauer, Patrick Schwab
2021	J	`jnl`	Interventional Assays for the Latent Space of Autoencoders. CoRR Felix Leeb, Stefan Bauer, Bernhard Schölkopf
2021	J	`jnl`	Learning Neural Causal Models with Active Interventions. CoRR Nino Scherrer, Olexa Bilaniuk, Yashas Annadani, Anirudh Goyal, Patrick Schwab, Bernhard Schölkopf, Michael C. Mozer, Yoshua Bengio, Stefan Bauer, Nan Rosemary Ke
2021	J	`jnl`	NCoRE: Neural Counterfactual Representation Learning for Combinations of Treatments. CoRR Sonali Parbhoo, Stefan Bauer, Patrick Schwab
2021	A*	`conf`	On Disentangled Representations Learned from Correlated Data. ICML Frederik Träuble, Elliot Creager, Niki Kilbertus, Francesco Locatello, Andrea Dittadi, Anirudh Goyal, Bernhard Schölkopf, Stefan Bauer
2021	A*	`conf`	On the Transfer of Disentangled Representations in Realistic Settings. ICLR Andrea Dittadi, Frederik Träuble, Francesco Locatello, Manuel Wuthrich, Vaibhav Agrawal, Ole Winther, Stefan Bauer, Bernhard Schölkopf
2021	J	`jnl`	Overcoming barriers to data sharing with medical image generation: a comprehensive evaluation. npj Digit. Medicine August DuMont Schütte, Jürgen Hetzel, Sergios Gatidis, Tobias Hepp, Benedikt Dietz, Stefan Bauer, Patrick Schwab
2021	J	`jnl`	Pyfectious: An individual-level simulator to discover optimal containment polices for epidemic diseases. CoRR Arash Mehrjou, Ashkan Soleymani, Amin Abyaneh, Bernhard Schölkopf, Stefan Bauer
2021	—	`conf`	Real Robot Challenge 2022: Learning Dexterous Manipulation from Offline Data in the Real World. NeurIPS (Competition and Demos) Nico Gürtler, Felix Widmaier, Cansu Sancaktar, Sebastian Blaes, Pavel Kolev, Stefan Bauer, Manuel Wüthrich, Markus Wulfmeier, Martin A. Riedmiller, Arthur Allshire, Qiang Wang, Robert McCarthy, Hangyeol Kim, Jongchan Baek, Wookyong Kwon, Shanliang Qian, Yasunori Toshimitsu, Mike Yan Michelis, Amirhossein Kazemipour, Arman Raayatsanati, Hehui Zheng, Barnabas Gavin Cangan, Bernhard Schölkopf, Georg Martius
2021	—	`conf`	Real Robot Challenge: A Robotics Competition in the Cloud. NeurIPS (Competition and Demos) Stefan Bauer, Manuel Wüthrich, Felix Widmaier, Annika Buchholz, Sebastian Stark, Anirudh Goyal, Thomas Steinbrenner, Joel Akpo, Shruti Joshi, Vincent Berenz, Vaibhav Agrawal, Niklas Funk, Julen Urain De Jesus, Jan Peters, Joe Watson, Claire Chen, Krishnan Srinivasan, Junwu Zhang, Jeffrey Zhang, Matthew R. Walter, Rishabh Madan, Takuma Yoneda, Denis Yarats, Arthur Allshire, Ethan K. Gordon, Tapomayukh Bhattacharjee, Siddhartha S. Srinivasa, Animesh Garg, Takahiro Maeda, Harshit Sikchi, Jilong Wang, Qingfeng Yao, Shuyu Yang, Robert McCarthy, Francisco Roldan Sanchez, Qiang Wang, David Cordova Bulens, Kevin McGuinness, Noel E. O'Connor, Stephen J. Redmond, Bernhard Schölkopf
2021	J	`jnl`	Representation Learning for Out-Of-Distribution Generalization in Reinforcement Learning. CoRR Andrea Dittadi, Frederik Träuble, Manuel Wüthrich, Felix Widmaier, Peter V. Gehler, Ole Winther, Francesco Locatello, Olivier Bachem, Bernhard Schölkopf, Stefan Bauer
2021	J	`jnl`	Representation Learning in Continuous-Time Score-Based Generative Models. CoRR Korbinian Abstreiter, Stefan Bauer, Arash Mehrjou
2021	A*	`conf`	Spatial Dependency Networks: Neural Layers for Improved Generative Image Modeling. ICLR Ðorðe Miladinovic, Aleksandar Stanic, Stefan Bauer, Jürgen Schmidhuber, Joachim M. Buhmann
2021	J	`jnl`	Spatial Dependency Networks: Neural Layers for Improved Generative Image Modeling. CoRR Djordje Miladinovic, Aleksandar Stanic, Stefan Bauer, Jürgen Schmidhuber, Joachim M. Buhmann
2021	A*	`conf`	Spatially Structured Recurrent Modules. ICLR Nasim Rahaman, Anirudh Goyal, Muhammad Waleed Gondal, Manuel Wuthrich, Stefan Bauer, Yash Sharma, Yoshua Bengio, Bernhard Schölkopf
2021	—	`conf`	Systematic Evaluation of Causal Discovery in Visual Model Based Reinforcement Learning. NeurIPS Datasets and Benchmarks Nan Rosemary Ke, Aniket Didolkar, Sarthak Mittal, Anirudh Goyal, Guillaume Lajoie, Stefan Bauer, Danilo Jimenez Rezende, Michael Mozer, Yoshua Bengio, Chris Pal
2021	J	`jnl`	Systematic Evaluation of Causal Discovery in Visual Model Based Reinforcement Learning. CoRR Nan Rosemary Ke, Aniket Didolkar, Sarthak Mittal, Anirudh Goyal, Guillaume Lajoie, Stefan Bauer, Danilo J. Rezende, Yoshua Bengio, Michael Mozer, Christopher J. Pal
2021	J	`jnl`	Toward Causal Representation Learning. Proc. IEEE Bernhard Schölkopf, Francesco Locatello, Stefan Bauer, Nan Rosemary Ke, Nal Kalchbrenner, Anirudh Goyal, Yoshua Bengio
2021	J	`jnl`	Towards Causal Representation Learning. CoRR Bernhard Schölkopf, Francesco Locatello, Stefan Bauer, Nan Rosemary Ke, Nal Kalchbrenner, Anirudh Goyal, Yoshua Bengio
2021	J	`jnl`	Transferring Dexterous Manipulation from GPU Simulation to a Remote Real-World TriFinger. CoRR Arthur Allshire, Mayank Mittal, Varun Lodaya, Viktor Makoviychuk, Denys Makoviichuk, Felix Widmaier, Manuel Wüthrich, Stefan Bauer, Ankur Handa, Animesh Garg
2021	J	`jnl`	Variational Causal Networks: Approximate Bayesian Inference over Causal Structures. CoRR Yashas Annadani, Jonas Rothfuss, Alexandre Lacoste, Nino Scherrer, Anirudh Goyal, Yoshua Bengio, Stefan Bauer
2020	A*	`conf`	A Commentary on the Unsupervised Learning of Disentangled Representations. AAAI Francesco Locatello, Stefan Bauer, Mario Lucic, Gunnar Rätsch, Sylvain Gelly, Bernhard Schölkopf, Olivier Bachem
2020	J	`jnl`	A Commentary on the Unsupervised Learning of Disentangled Representations. CoRR Francesco Locatello, Stefan Bauer, Mario Lucic, Gunnar Rätsch, Sylvain Gelly, Bernhard Schölkopf, Olivier Bachem
2020	A*	`conf`	A Real-Robot Dataset for Assessing Transferability of Learned Dynamics Models. ICRA Diego Agudelo-España, Andrii Zadaianchuk, Philippe Wenk, Aditya Garg, Joel Akpo, Felix Grimminger, Julian Viereck, Maximilien Naveau, Ludovic Righetti, Georg Martius, Andreas Krause, Bernhard Schölkopf, Stefan Bauer, Manuel Wüthrich
2020	J	`jnl`	A Sober Look at the Unsupervised Learning of Disentangled Representations and their Evaluation. CoRR Francesco Locatello, Stefan Bauer, Mario Lucic, Gunnar Rätsch, Sylvain Gelly, Bernhard Schölkopf, Olivier Bachem
2020	J	`jnl`	A Sober Look at the Unsupervised Learning of Disentangled Representations and their Evaluation. J. Mach. Learn. Res. Francesco Locatello, Stefan Bauer, Mario Lucic, Gunnar Rätsch, Sylvain Gelly, Bernhard Schölkopf, Olivier Bachem
2020	J	`jnl`	Automatic Training Set Compilation With Multisource Geodata for DTM Generation From the TanDEM-X DSM. IEEE Geosci. Remote. Sens. Lett. Christian Geiß, Patrick Aravena Pelizari, Stefan Bauer, Andreas Schmitt, Hannes Taubenböck
2020	A	`conf`	Bayesian Online Prediction of Change Points. UAI Diego Agudelo-España, Sebastián Gómez-González, Stefan Bauer, Bernhard Schölkopf, Jan Peters
2020	J	`jnl`	Causal Feature Selection via Orthogonal Search. CoRR Anant Raj, Stefan Bauer, Ashkan Soleymani, Michel Besserve, Bernhard Schölkopf
2020	J	`jnl`	CausalWorld: A Robotic Manipulation Benchmark for Causal Structure and Transfer Learning. CoRR Ossama Ahmed, Frederik Träuble, Anirudh Goyal, Alexander Neitz, Manuel Wüthrich, Yoshua Bengio, Bernhard Schölkopf, Stefan Bauer
2020	A*	`conf`	Disentangling Factors of Variations Using Few Labels. ICLR Francesco Locatello, Michael Tschannen, Stefan Bauer, Gunnar Rätsch, Bernhard Schölkopf, Olivier Bachem
2020	J	`jnl`	Function Contrastive Learning of Transferable Representations. CoRR Muhammad Waleed Gondal, Shruti Joshi, Nasim Rahaman, Stefan Bauer, Manuel Wüthrich, Bernhard Schölkopf
2020	J	`jnl`	Is Independence all you need? On the Generalization of Representations Learned from Correlated Data. CoRR Frederik Träuble, Elliot Creager, Niki Kilbertus, Anirudh Goyal, Francesco Locatello, Bernhard Schölkopf, Stefan Bauer
2020	A*	`conf`	Learning Counterfactual Representations for Estimating Individual Dose-Response Curves. AAAI Patrick Schwab, Lorenz Linhardt, Stefan Bauer, Joachim M. Buhmann, Walter Karlen
2020	A*	`conf`	ODIN: ODE-Informed Regression for Parameter and State Inference in Time-Continuous Dynamical Systems. AAAI Philippe Wenk, Gabriele Abbati, Michael A. Osborne, Bernhard Schölkopf, Andreas Krause, Stefan Bauer
2020	J	`jnl`	On the Transfer of Disentangled Representations in Realistic Settings. CoRR Andrea Dittadi, Frederik Träuble, Francesco Locatello, Manuel Wüthrich, Vaibhav Agrawal, Ole Winther, Stefan Bauer, Bernhard Schölkopf
2020	J	`jnl`	Overcoming Barriers to Data Sharing with Medical Image Generation: A Comprehensive Evaluation. CoRR August DuMont Schütte, Jürgen Hetzel, Sergios Gatidis, Tobias Hepp, Benedikt Dietz, Stefan Bauer, Patrick Schwab
2020	J	`jnl`	Real-time Prediction of COVID-19 related Mortality using Electronic Health Records. CoRR Patrick Schwab, Arash Mehrjou, Sonali Parbhoo, Leo Anthony Celi, Jürgen Hetzel, Markus Hofer, Bernhard Schölkopf, Stefan Bauer
2020	J	`jnl`	S2RMs: Spatially Structured Recurrent Modules. CoRR Nasim Rahaman, Anirudh Goyal, Muhammad Waleed Gondal, Manuel Wuthrich, Stefan Bauer, Yash Sharma, Yoshua Bengio, Bernhard Schölkopf
2020	J	`jnl`	SLEIPNIR: Deterministic and Provably Accurate Feature Expansion for Gaussian Process Regression with Derivatives. CoRR Emmanouil Angelis, Philippe Wenk, Bernhard Schölkopf, Stefan Bauer, Andreas Krause
2020	J	`jnl`	Structural Autoencoders Improve Representations for Generation and Transfer. CoRR Felix Leeb, Yashas Annadani, Stefan Bauer, Bernhard Schölkopf
2020	Misc	`conf`	TriFinger: An Open-Source Robot for Learning Dexterity. CoRL Manuel Wuthrich, Felix Widmaier, Felix Grimminger, Shruti Joshi, Vaibhav Agrawal, Bilal Hammoud, Majid Khadiv, Miroslav Bogdanovic, Vincent Berenz, Julian Viereck, Maximilien Naveau, Ludovic Righetti, Bernhard Schölkopf, Stefan Bauer
2020	J	`jnl`	TriFinger: An Open-Source Robot for Learning Dexterity. CoRR Manuel Wüthrich, Felix Widmaier, Felix Grimminger, Joel Akpo, Shruti Joshi, Vaibhav Agrawal, Bilal Hammoud, Majid Khadiv, Miroslav Bogdanovic, Vincent Berenz, Julian Viereck, Maximilien Naveau, Ludovic Righetti, Bernhard Schölkopf, Stefan Bauer
2020	J	`jnl`	predCOVID-19: A Systematic Study of Clinical Predictive Models for Coronavirus Disease 2019. CoRR Patrick Schwab, August DuMont Schütte, Benedikt Dietz, Stefan Bauer
2019	J	`jnl`	AReS and MaRS - Adversarial and MMD-Minimizing Regression for SDEs. CoRR Gabriele Abbati, Philippe Wenk, Stefan Bauer, Michael A. Osborne, Andreas Krause, Bernhard Schölkopf
2019	A*	`conf`	AReS and MaRS Adversarial and MMD-Minimizing Regression for SDEs. ICML Gabriele Abbati, Philippe Wenk, Michael A. Osborne, Andreas Krause, Bernhard Schölkopf, Stefan Bauer
2019	J	`jnl`	Bayesian Online Detection and Prediction of Change Points. CoRR Diego Agudelo-España, Sebastián Gómez-González, Stefan Bauer, Bernhard Schölkopf, Jan Peters
2019	—	`conf`	Challenging Common Assumptions in the Unsupervised Learning of Disentangled Representations. RML@ICLR Francesco Locatello, Stefan Bauer, Mario Lucic, Gunnar Rätsch, Sylvain Gelly, Bernhard Schölkopf, Olivier Bachem
2019	A*	`conf`	Challenging Common Assumptions in the Unsupervised Learning of Disentangled Representations. ICML Francesco Locatello, Stefan Bauer, Mario Lucic, Gunnar Rätsch, Sylvain Gelly, Bernhard Schölkopf, Olivier Bachem
2019	—	`conf`	Disentangled State Space Models: Unsupervised Learning of dynamics across Heterogeneous Environments. DGS@ICLR Ðorðe Miladinovic, Muhammad Waleed Gondal, Bernhard Schölkopf, Joachim M. Buhmann, Stefan Bauer
2019	J	`jnl`	Disentangled State Space Representations. CoRR Ðorðe Miladinovic, Muhammad Waleed Gondal, Bernhard Schölkopf, Joachim M. Buhmann, Stefan Bauer
2019	J	`jnl`	Disentangling Factors of Variation Using Few Labels. CoRR Francesco Locatello, Michael Tschannen, Stefan Bauer, Gunnar Rätsch, Bernhard Schölkopf, Olivier Bachem
2019	A	`conf`	Fast Gaussian process based gradient matching for parameter identification in systems of nonlinear ODEs. AISTATS Philippe Wenk, Alkis Gotovos, Stefan Bauer, Nico S. Gorbach, Andreas Krause, Joachim M. Buhmann
2019	J	`jnl`	Learning Counterfactual Representations for Estimating Individual Dose-Response Curves. CoRR Patrick Schwab, Lorenz Linhardt, Stefan Bauer, Joachim M. Buhmann, Walter Karlen
2019	J	`jnl`	Learning Neural Causal Models from Unknown Interventions. CoRR Nan Rosemary Ke, Olexa Bilaniuk, Anirudh Goyal, Stefan Bauer, Hugo Larochelle, Chris Pal, Yoshua Bengio
2019	J	`jnl`	Multidimensional Contrast Limited Adaptive Histogram Equalization. IEEE Access Vincent Stimper, Stefan Bauer, Ralph Ernstorfer, Bernhard Schölkopf, Rui Patrick Xian
2019	J	`jnl`	ODIN: ODE-Informed Regression for Parameter and State Inference in Time-Continuous Dynamical Systems. CoRR Philippe Wenk, Gabriele Abbati, Stefan Bauer, Michael A. Osborne, Andreas Krause, Bernhard Schölkopf
2019	A*	`conf`	On the Fairness of Disentangled Representations. NeurIPS Francesco Locatello, Gabriele Abbati, Thomas Rainforth, Stefan Bauer, Bernhard Schölkopf, Olivier Bachem
2019	J	`jnl`	On the Fairness of Disentangled Representations. CoRR Francesco Locatello, Gabriele Abbati, Tom Rainforth, Stefan Bauer, Bernhard Schölkopf, Olivier Bachem
2019	A*	`conf`	On the Transfer of Inductive Bias from Simulation to the Real World: a New Disentanglement Dataset. NeurIPS Muhammad Waleed Gondal, Manuel Wuthrich, Djordje Miladinovic, Francesco Locatello, Martin Breidt, Valentin Volchkov, Joel Akpo, Olivier Bachem, Bernhard Schölkopf, Stefan Bauer
2019	J	`jnl`	On the Transfer of Inductive Bias from Simulation to the Real World: a New Disentanglement Dataset. CoRR Muhammad Waleed Gondal, Manuel Wüthrich, Ðorðe Miladinovic, Francesco Locatello, Martin Breidt, Valentin Volchkov, Joel Akpo, Olivier Bachem, Bernhard Schölkopf, Stefan Bauer
2019	A*	`conf`	Robustly Disentangled Causal Mechanisms: Validating Deep Representations for Interventional Robustness. ICML Raphael Suter, Ðorðe Miladinovic, Bernhard Schölkopf, Stefan Bauer
2019	J	`jnl`	SPINDLE: End-to-end learning from EEG/EMG to extrapolate animal sleep scoring across experimental settings, labs and species. PLoS Comput. Biol. Ðorðe Miladinovic, Christine Muheim, Stefan Bauer, Andrea Spinnler, Daniela Noain, Mojtaba Bandarabadi, Benjamin Gallusser, Gabriel Krummenacher, Christian R. Baumann, Antoine Adamantidis, Steven A. Brown, Joachim M. Buhmann
2018	A*	`conf`	Adaptive Skip Intervals: Temporal Abstraction for Recurrent Dynamical Models. NeurIPS Alexander Neitz, Giambattista Parascandolo, Stefan Bauer, Bernhard Schölkopf
2018	J	`jnl`	Adaptive Skip Intervals: Temporal Abstraction for Recurrent Dynamical Models. CoRR Alexander Neitz, Giambattista Parascandolo, Stefan Bauer, Bernhard Schölkopf
2018	J	`jnl`	Challenging Common Assumptions in the Unsupervised Learning of Disentangled Representations. CoRR Francesco Locatello, Stefan Bauer, Mario Lucic, Sylvain Gelly, Bernhard Schölkopf, Olivier Bachem
2018	J	`jnl`	Fast Gaussian Process Based Gradient Matching for Parameter Identification in Systems of Nonlinear ODEs. CoRR Philippe Wenk, Alkis Gotovos, Stefan Bauer, Nico S. Gorbach, Andreas Krause, Joachim M. Buhmann
2018	J	`jnl`	Identifying Causal Structure in Large-Scale Kinetic Systems. CoRR Niklas Pfister, Stefan Bauer, Jonas Peters
2018	J	`jnl`	Identifying the Best Machine Learning Algorithms for Brain Tumor Segmentation, Progression Assessment, and Overall Survival Prediction in the BRATS Challenge. CoRR Spyridon Bakas, Mauricio Reyes, András Jakab, Stefan Bauer, Markus Rempfler, Alessandro Crimi, Russell Takeshi Shinohara, Christoph Berger, Sung Min Ha, Martin Rozycki, Marcel Prastawa, Esther Alberts, Jana Lipková, John B. Freymann, Justin S. Kirby, Michel Bilello, Hassan M. Fathallah-Shaykh, Roland Wiest, Jan Kirschke, Benedikt Wiestler, Rivka R. Colen, Aikaterini Kotrotsou, Pamela LaMontagne, Daniel S. Marcus, Mikhail Milchenko, Arash Nazeri, Marc-André Weber, Abhishek Mahajan, Ujjwal Baid, Dongjin Kwon, Manu Agarwal, Mahbubul Alam, Alberto Albiol, Antonio Albiol, Alex Varghese, Tran Anh Tuan, Tal Arbel, Aaron Avery, Pranjal B., Subhashis Banerjee, Thomas Batchelder, Kayhan N. Batmanghelich, Enzo Battistella, Martin Bendszus, Eze Benson, José Bernal, George Biros, Mariano Cabezas, Siddhartha Chandra, Yi-Ju Chang, et al.
2018	J	`jnl`	Interventional Robustness of Deep Latent Variable Models. CoRR Raphael Suter, Ðorðe Miladinovic, Stefan Bauer, Bernhard Schölkopf
2018	—	`—`	Statistical Inference in Dynamical Systems. Stefan Bauer
2017	—	`conf`	Efficient and Flexible Inference for Stochastic Systems. NIPS Stefan Bauer, Nico S. Gorbach, Ðorðe Miladinovic, Joachim M. Buhmann
2017	J	`jnl`	From Information Security Awareness to Reasoned Compliant Action: Analyzing Information Security Policy Compliance in a Large Banking Organization. Data Base Stefan Bauer, Edward W. N. Bernroider
2017	—	`conf`	MRI-Based Surgical Planning for Lumbar Spinal Stenosis. MICCAI (3) Gabriele Abbati, Stefan Bauer, Sebastian Winklhofer, Peter J. Schüffler, Ulrike Held, Jakob M. Burgstaller, Johann Steurer, Joachim M. Buhmann
2017	—	`conf`	Model Selection for Gaussian Process Regression. GCPR Nico S. Gorbach, Andrew An Bian, Benjamin Fischer, Stefan Bauer, Joachim M. Buhmann
2017	J	`jnl`	Prevention is better than cure! Designing information security awareness programs to overcome users' non-compliance with information security policies in banks. Comput. Secur. Stefan Bauer, Edward W. N. Bernroider, Katharina Chudzikowski
2017	—	`conf`	Scalable Variational Inference for Dynamical Systems. NIPS Nico S. Gorbach, Stefan Bauer, Joachim M. Buhmann
2016	—	`conf`	Corporate Accelerators: Transferring Technology Innovation to Incumbent Companies. MCIS Stefan Bauer, Nikolaus Obwegeser, Zlatko Avdagic
2016	—	`conf`	Digital Innovation and the Becoming of an Organizational Identity. HCI (21) Nikolaus Obwegeser, Stefan Bauer
2016	J	`jnl`	Multi-Organ Cancer Classification and Survival Analysis. CoRR Stefan Bauer, Nicolas Carion, Peter J. Schüffler, Thomas J. Fuchs, Peter J. Wild, Joachim M. Buhmann
2016	A*	`conf`	The Arrow of Time in Multivariate Time Series. ICML Stefan Bauer, Bernhard Schölkopf, Jonas Peters
2015	—	`conf`	Mind the Threat! A Qualitative Case Study on Information Security Awareness Programs in European Banks. AMCIS Stefan Bauer, Katharina Chudzikowski
2015	—	`conf`	Numerical decomposition of symmetric linear systems. CDC Claus Danielson, Stefan Bauer
2015	—	`conf`	The Effects of Awareness Programs on Information Security in Banks: The Roles of Protection Motivation and Monitoring. HCI (22) Stefan Bauer, Edward W. N. Bernroider
2015	J	`jnl`	The Multimodal Brain Tumor Image Segmentation Benchmark (BRATS). IEEE Trans. Medical Imaging Bjoern H. Menze, András Jakab, Stefan Bauer, Jayashree Kalpathy-Cramer, Keyvan Farahani, Justin S. Kirby, Yuliya Burren, Nicole Porz, Johannes Slotboom, Roland Wiest, Levente Lanczi, Elizabeth R. Gerstner, Marc-André Weber, Tal Arbel, Brian B. Avants, Nicholas Ayache, Patricia Buendia, D. Louis Collins, Nicolas Cordier, Jason J. Corso, Antonio Criminisi, Tilak Das, Herve Delingette, Çagatay Demiralp, Christopher R. Durst, Michel Dojat, Senan Doyle, Joana Festa, Florence Forbes, Ezequiel Geremia, Ben Glocker, Polina Golland, Xiaotao Guo, Andac Hamamci, Khan M. Iftekharuddin, Raj Jena, Nigel M. John, Ender Konukoglu, Danial Lashkari, José Antonio Mariz, Raphael Meier, Sérgio Pereira, Doina Precup, Stephen J. Price, Tammy Riklin Raviv, Syed M. S. Reza, Michael T. Ryan, Duygu Sarikaya, Lawrence H. Schwartz, Hoo-Chang Shin, Jamie Shotton, Carlos A. Silva, Nuno J. Sousa, Nagesh K. Subbanna, Gábor Székely, Thomas J. Taylor, Owen M. Thomas, Nicholas J. Tustison, Gözde B. Ünal, Flor Vasseur, Max Wintermark, Dong Hye Ye, Liang Zhao, Binsheng Zhao, Darko Zikic, Marcel Prastawa, Mauricio Reyes, Koen Van Leemput
2014	—	`conf`	Acting together by mutual control: Evaluation of a multimodal interaction concept for cooperative driving. CTS Markus Zimmermann, Stefan Bauer, Niklas Lutteken, Iris M. Rothkirch, Klaus-Josef Bengler
2014	—	`conf`	Interactive segmentation of MR images from brain tumor patients. ISBI Stefan Bauer, Nicole Porz, Raphael Meier, Alessia Pica, Johannes Slotboom, Roland Wiest, Mauricio Reyes
2014	—	`conf`	Patient-Specific Semi-supervised Learning for Postoperative Brain Tumor Segmentation. MICCAI (1) Raphael Meier, Stefan Bauer, Johannes Slotboom, Roland Wiest, Mauricio Reyes
2014	—	`conf`	Towards automatic MRI volumetry for treatment selection in acute ischemic stroke patients. EMBC Stefan Bauer, Pascal P. Gratz, Jan Gralla, Mauricio Reyes, Roland Wiest
2013	—	`conf`	GNSS correction services for ITS applications a performance analysis of EGNOS and IGS. ITSC Robin Streiter, Sven Bauer, Stefan Bauer, Gerd Wanielik
2013	—	`conf`	IT operational risk awareness building in banking companies: A preliminary research design highlighting the importance of risk cultures and control systems. CONF-IRM Stefan Bauer, Edward W. N. Bernroider
2013	—	`conf`	Integrated Spatio-Temporal Segmentation of Longitudinal Brain Tumor Imaging Studies. MCV Stefan Bauer, Jean Tessier, Oliver Krieter, Lutz-Peter Nolte, Mauricio Reyes
2013	J	`jnl`	Integrated segmentation of brain tumor images for radiotherapy and neurosurgery. Int. J. Imaging Syst. Technol. Stefan Bauer, Huanxiang Lu, Christian May, Lutz-Peter Nolte, Philippe Büchler, Mauricio Reyes
2012	—	`conf`	A Literature Review on Operational IT Risks and Regulations of Institutions in the Financial Service Sector. CONF-IRM Stefan Bauer
2012	J	`jnl`	Multiscale Modeling for Image Analysis of Brain Tumor Studies. IEEE Trans. Biomed. Eng. Stefan Bauer, Christian May, Dimitra D. Dionysiou, Georgios S. Stamatakos, Philippe Büchler, Mauricio Reyes
2012	J	`jnl`	Skull-stripping for Tumor-bearing Brain Images CoRR Stefan Bauer, Lutz-Peter Nolte, Mauricio Reyes
2011	J	`jnl`	Das vernetzte Fahrzeug - Herausforderungen für die IT. Inform. Spektrum Stefan Bauer
2011	—	`conf`	Fully Automatic Segmentation of Brain Tumor Images Using Support Vector Machine Classification in Combination with Hierarchical Conditional Random Field Regularization. MICCAI (3) Stefan Bauer, Lutz-Peter Nolte, Mauricio Reyes
2011	—	`conf`	Segmentation of brain tumor images based on atlas-registration combined with a Markov-Random-Field lesion growth model. ISBI Stefan Bauer, Lutz-Peter Nolte, Mauricio Reyes