Stefan Bauer

Publication record assembled from the DBLP archive of ranked conferences.

Papers indexed

Venues

Active years

2011–2025

Best venue rank

Where they publish

Papers

40 indexed papers, newest first.

Year	Venue	Title	Authors
2025	CVPR	Panopticon: Advancing Any-Sensor Foundation Models for Earth Observation.	Leonard Waldmann, Ando Shah, Yi Wang, Nils Lehmann, Adam J. Stewart, Zhitong Xiong, Xiao Xiang Zhu, Stefan Bauer, John Chuang
2025	ICLR	Exploring the Effectiveness of Object-Centric Representations in Visual Question Answering: Comparative Insights with Foundation Models.	Amir Mohammad Karimi-Mamaghan, Samuele Papa, Karl Henrik Johansson, Stefan Bauer, Andrea Dittadi
2024	ICML	Challenges and Considerations in the Evaluation of Bayesian Causal Discovery.	Amir Mohammad Karimi-Mamaghan, Panagiotis Tigas, Karl Henrik Johansson, Yarin Gal, Yashas Annadani, Stefan Bauer
2023	ICLR	Benchmarking Offline Reinforcement Learning on Real-Robot Hardware.	Nico Grtler, Sebastian Blaes, Pavel Kolev, Felix Widmaier, Manuel Wuthrich, Stefan Bauer, Bernhard Schlkopf, Georg Martius
2023	ICLR	Structure by Architecture: Structured Representations without Regularization.	Felix Leeb, Giulia Lanzillotta, Yashas Annadani, Michel Besserve, Stefan Bauer, Bernhard Schlkopf
2023	ICML	DiscoBAX: Discovery of optimal intervention sets in genomic experiment design.	Clare Lyle, Arash Mehrjou, Pascal Notin, Andrew Jesson, Stefan Bauer, Yarin Gal, Patrick Schwab
2023	ICML	Diffusion Based Representation Learning.	Sarthak Mittal, Korbinian Abstreiter, Stefan Bauer, Bernhard Schlkopf, Arash Mehrjou
2023	ICML	DRCFS: Doubly Robust Causal Feature Selection.	Francesco Quinzan, Ashkan Soleymani, Patrick Jaillet, Cristian R. Rojas, Stefan Bauer
2023	ICML	Differentiable Multi-Target Causal Bayesian Experimental Design.	Panagiotis Tigas, Yashas Annadani, Desi R. Ivanova, Andrew Jesson, Yarin Gal, Adam Foster, Stefan Bauer
2022	ICLR	GeneDisco: A Benchmark for Experimental Design in Drug Discovery.	Arash Mehrjou, Ashkan Soleymani, Andrew Jesson, Pascal Notin, Yarin Gal, Stefan Bauer, Patrick Schwab
2022	ICLR	The Role of Pretrained Representations for the OOD Generalization of RL Agents.	Frederik Truble, Andrea Dittadi, Manuel Wuthrich, Felix Widmaier, Peter Vincent Gehler, Ole Winther, Francesco Locatello, Olivier Bachem, Bernhard Schlkopf, Stefan Bauer
2022	ICML	Adaptive Gaussian Process Change Point Detection.	Edoardo Caldarelli, Philippe Wenk, Stefan Bauer, Andreas Krause
2022	IROS	Transferring Dexterous Manipulation from GPU Simulation to a Remote Real-World TriFinger.	Arthur Allshire, Mayank Mittal, Varun Lodaya, Viktor Makoviychuk, Denys Makoviichuk, Felix Widmaier, Manuel Wthrich, Stefan Bauer, Ankur Handa, Animesh Garg
2022	UAI	Bayesian structure learning with generative flow networks.	Tristan Deleu, Antnio Gis, Chris Emezue, Mansi Rankawat, Simon Lacoste-Julien, Stefan Bauer, Yoshua Bengio
2021	ICLR	CausalWorld: A Robotic Manipulation Benchmark for Causal Structure and Transfer Learning.	Ossama Ahmed, Frederik Truble, Anirudh Goyal, Alexander Neitz, Manuel Wuthrich, Yoshua Bengio, Bernhard Schlkopf, Stefan Bauer
2021	ICLR	On the Transfer of Disentangled Representations in Realistic Settings.	Andrea Dittadi, Frederik Truble, Francesco Locatello, Manuel Wuthrich, Vaibhav Agrawal, Ole Winther, Stefan Bauer, Bernhard Schlkopf
2021	ICLR	Spatial Dependency Networks: Neural Layers for Improved Generative Image Modeling.	ore Miladinovic, Aleksandar Stanic, Stefan Bauer, Jrgen Schmidhuber, Joachim M. Buhmann
2021	ICLR	Spatially Structured Recurrent Modules.	Nasim Rahaman, Anirudh Goyal, Muhammad Waleed Gondal, Manuel Wuthrich, Stefan Bauer, Yash Sharma, Yoshua Bengio, Bernhard Schlkopf
2021	ICML	Function Contrastive Learning of Transferable Meta-Representations.	Muhammad Waleed Gondal, Shruti Joshi, Nasim Rahaman, Stefan Bauer, Manuel Wuthrich, Bernhard Schlkopf
2021	ICML	On Disentangled Representations Learned from Correlated Data.	Frederik Truble, Elliot Creager, Niki Kilbertus, Francesco Locatello, Andrea Dittadi, Anirudh Goyal, Bernhard Schlkopf, Stefan Bauer
2020	AAAI	A Commentary on the Unsupervised Learning of Disentangled Representations.	Francesco Locatello, Stefan Bauer, Mario Lucic, Gunnar Rtsch, Sylvain Gelly, Bernhard Schlkopf, Olivier Bachem
2020	AAAI	Learning Counterfactual Representations for Estimating Individual Dose-Response Curves.	Patrick Schwab, Lorenz Linhardt, Stefan Bauer, Joachim M. Buhmann, Walter Karlen
2020	AAAI	ODIN: ODE-Informed Regression for Parameter and State Inference in Time-Continuous Dynamical Systems.	Philippe Wenk, Gabriele Abbati, Michael A. Osborne, Bernhard Schlkopf, Andreas Krause, Stefan Bauer
2020	CoRL	TriFinger: An Open-Source Robot for Learning Dexterity.	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 Schlkopf, Stefan Bauer
2020	ICLR	Disentangling Factors of Variations Using Few Labels.	Francesco Locatello, Michael Tschannen, Stefan Bauer, Gunnar Rtsch, Bernhard Schlkopf, Olivier Bachem
2020	ICRA	A Real-Robot Dataset for Assessing Transferability of Learned Dynamics Models.	Diego Agudelo-Espaa, Andrii Zadaianchuk, Philippe Wenk, Aditya Garg, Joel Akpo, Felix Grimminger, Julian Viereck, Maximilien Naveau, Ludovic Righetti, Georg Martius, Andreas Krause, Bernhard Schlkopf, Stefan Bauer, Manuel Wthrich
2020	UAI	Bayesian Online Prediction of Change Points.	Diego Agudelo-Espaa, Sebastin Gmez-Gonzlez, Stefan Bauer, Bernhard Schlkopf, Jan Peters
2019	AISTATS	Fast Gaussian process based gradient matching for parameter identification in systems of nonlinear ODEs.	Philippe Wenk, Alkis Gotovos, Stefan Bauer, Nico S. Gorbach, Andreas Krause, Joachim M. Buhmann
2019	ICLR	Challenging Common Assumptions in the Unsupervised Learning of Disentangled Representations.	Francesco Locatello, Stefan Bauer, Mario Lucic, Gunnar Rtsch, Sylvain Gelly, Bernhard Schlkopf, Olivier Bachem
2019	ICLR	Disentangled State Space Models: Unsupervised Learning of dynamics across Heterogeneous Environments.	ore Miladinovic, Muhammad Waleed Gondal, Bernhard Schlkopf, Joachim M. Buhmann, Stefan Bauer
2019	ICML	AReS and MaRS Adversarial and MMD-Minimizing Regression for SDEs.	Gabriele Abbati, Philippe Wenk, Michael A. Osborne, Andreas Krause, Bernhard Schlkopf, Stefan Bauer
2019	ICML	Challenging Common Assumptions in the Unsupervised Learning of Disentangled Representations.	Francesco Locatello, Stefan Bauer, Mario Lucic, Gunnar Rtsch, Sylvain Gelly, Bernhard Schlkopf, Olivier Bachem
2019	ICML	Robustly Disentangled Causal Mechanisms: Validating Deep Representations for Interventional Robustness.	Raphael Suter, ore Miladinovic, Bernhard Schlkopf, Stefan Bauer
2017	MICCAI	MRI-Based Surgical Planning for Lumbar Spinal Stenosis.	Gabriele Abbati, Stefan Bauer, Sebastian Winklhofer, Peter J. Schffler, Ulrike Held, Jakob M. Burgstaller, Johann Steurer, Joachim M. Buhmann
2016	HCI	Digital Innovation and the Becoming of an Organizational Identity.	Nikolaus Obwegeser, Stefan Bauer
2016	ICML	The Arrow of Time in Multivariate Time Series.	Stefan Bauer, Bernhard Schlkopf, Jonas Peters
2015	HCI	The Effects of Awareness Programs on Information Security in Banks: The Roles of Protection Motivation and Monitoring.	Stefan Bauer, Edward W. N. Bernroider
2014	MICCAI	Patient-Specific Semi-supervised Learning for Postoperative Brain Tumor Segmentation.	Raphael Meier, Stefan Bauer, Johannes Slotboom, Roland Wiest, Mauricio Reyes
2013	MICCAI	Integrated Spatio-Temporal Segmentation of Longitudinal Brain Tumor Imaging Studies.	Stefan Bauer, Jean Tessier, Oliver Krieter, Lutz-Peter Nolte, Mauricio Reyes
2011	MICCAI	Fully Automatic Segmentation of Brain Tumor Images Using Support Vector Machine Classification in Combination with Hierarchical Conditional Random Field Regularization.	Stefan Bauer, Lutz-Peter Nolte, Mauricio Reyes