Martius, Georg

61 publications

ICML 2025 Active Fine-Tuning of Multi-Task Policies Marco Bagatella, Jonas Hübotter, Georg Martius, Andreas Krause

ICLR 2025 Advancing Out-of-Distribution Detection via Local Neuroplasticity Alessandro Canevaro, Julian Schmidt, Mohammad Sajad Marvi, Hang Yu, Georg Martius, Julian Jordan

TMLR 2025 Directed Exploration in Reinforcement Learning from Linear Temporal Logic Marco Bagatella, Andreas Krause, Georg Martius

NeurIPS 2025 Forecasting in Offline Reinforcement Learning for Non-Stationary Environments Suzan Ece Ada, Georg Martius, Emre Ugur, Erhan Oztop

ICLR 2025 On the Transfer of Object-Centric Representation Learning Aniket Rajiv Didolkar, Andrii Zadaianchuk, Anirudh Goyal, Michael Curtis Mozer, Yoshua Bengio, Georg Martius, Maximilian Seitzer

ICML 2025 SENSEI: Semantic Exploration Guided by Foundation Models to Learn Versatile World Models Cansu Sancaktar, Christian Gumbsch, Andrii Zadaianchuk, Pavel Kolev, Georg Martius

CVPR 2025 Temporally Consistent Object-Centric Learning by Contrasting Slots Anna Manasyan, Maximilian Seitzer, Filip Radovic, Georg Martius, Andrii Zadaianchuk

ICML 2025 Zero-Shot Offline Imitation Learning via Optimal Transport Thomas Rupf, Marco Bagatella, Nico Gürtler, Jonas Frey, Georg Martius

ICML 2024 Causal Action Influence Aware Counterfactual Data Augmentation Núria Armengol Urpı́, Marco Bagatella, Marin Vlastelica, Georg Martius

AAAI 2024 Colored Noise in PPO: Improved Exploration and Performance Through Correlated Action Sampling Jakob J. Hollenstein, Georg Martius, Justus H. Piater

ICLR 2024 Emergent Mechanisms for Long Timescales Depend on Training Curriculum and Affect Performance in Memory Tasks Sina Khajehabdollahi, Roxana Zeraati, Emmanouil Giannakakis, Tim Jakob Schäfer, Georg Martius, Anna Levina

ICML 2024 LPGD: A General Framework for Backpropagation Through Embedded Optimization Layers Anselm Paulus, Georg Martius, Vı́t Musil

ICLR 2024 Learning Hierarchical World Models with Adaptive Temporal Abstractions from Discrete Latent Dynamics Christian Gumbsch, Noor Sajid, Georg Martius, Martin V. Butz

ICML 2024 Learning with 3D Rotations, a Hitchhiker’s Guide to SO(3) Andreas René Geist, Jonas Frey, Mikel Zhobro, Anna Levina, Georg Martius

NeurIPSW 2024 Local Ridge Regression Resets Mitigate Plasticity Loss Nitin Jain, Georg Martius, Marin Vlastelica

ICML 2024 Modelling Microbial Communities with Graph Neural Networks Albane Ruaud, Cansu Sancaktar, Marco Bagatella, Christoph Ratzke, Georg Martius

ICLR 2024 Multi-View Causal Representation Learning with Partial Observability Dingling Yao, Danru Xu, Sebastien Lachapelle, Sara Magliacane, Perouz Taslakian, Georg Martius, Julius von Kügelgen, Francesco Locatello

NeurIPSW 2024 SENSEI: Semantic Exploration Guided by Foundation Models to Learn Versatile World Models Cansu Sancaktar, Christian Gumbsch, Andrii Zadaianchuk, Pavel Kolev, Georg Martius

ICLR 2024 The Expressive Leaky Memory Neuron: An Efficient and Expressive Phenomenological Neuron Model Can Solve Long-Horizon Tasks. Aaron Spieler, Nasim Rahaman, Georg Martius, Bernhard Schölkopf, Anna Levina

ICLR 2023 Backpropagation Through Combinatorial Algorithms: Identity with Projection Works Subham Sekhar Sahoo, Anselm Paulus, Marin Vlastelica, Vít Musil, Volodymyr Kuleshov, Georg Martius

ICLR 2023 Benchmarking Offline Reinforcement Learning on Real-Robot Hardware Nico Gürtler, Sebastian Blaes, Pavel Kolev, Felix Widmaier, Manuel Wuthrich, Stefan Bauer, Bernhard Schölkopf, Georg Martius

ICLR 2023 DEP-RL: Embodied Exploration for Reinforcement Learning in Overactuated and Musculoskeletal Systems Pierre Schumacher, Daniel Haeufle, Dieter Büchler, Syn Schmitt, Georg Martius

NeurIPSW 2023 Diverse Offline Imitation Learning Marin Vlastelica, Jin Cheng, Georg Martius, Pavel Kolev

NeurIPS 2023 Goal-Conditioned Offline Planning from Curious Exploration Marco Bagatella, Georg Martius

ICMLW 2023 Lagrangian Proximal Gradient Descent for Learning Convex Optimization Models Anselm Paulus, Vít Musil, Georg Martius

NeurIPSW 2023 Learning Diverse Skills for Local Navigation Under Multi-Constraint Optimality Jin Cheng, Marin Vlastelica, Pavel Kolev, Chenhao Li, Georg Martius

NeurIPSW 2023 Modelling Microbial Communities with Graph Neural Networks Albane Ruaud, Cansu Sancaktar, Marco Bagatella, Christoph Ratzke, Georg Martius

NeurIPSW 2023 Multi-View Causal Representation Learning with Partial Observability Dingling Yao, Danru Xu, Sebastien Lachapelle, Sara Magliacane, Perouz Taslakian, Georg Martius, Julius von Kügelgen, Francesco Locatello

NeurIPS 2023 Object-Centric Learning for Real-World Videos by Predicting Temporal Feature Similarities Andrii Zadaianchuk, Maximilian Seitzer, Georg Martius

NeurIPS 2023 Online Learning Under Adversarial Nonlinear Constraints Pavel Kolev, Georg Martius, Michael Muehlebach

ICLR 2023 Pink Noise Is All You Need: Colored Noise Exploration in Deep Reinforcement Learning Onno Eberhard, Jakob Hollenstein, Cristina Pinneri, Georg Martius

NeurIPS 2023 Regularity as Intrinsic Reward for Free Play Cansu Sancaktar, Justus Piater, Georg Martius

NeurIPSW 2023 Regularity as Intrinsic Reward for Free Play Cansu Sancaktar, Justus Piater, Georg Martius

NeurIPS 2022 Curious Exploration via Structured World Models Yields Zero-Shot Object Manipulation Cansu Sancaktar, Sebastian Blaes, Georg Martius

NeurIPS 2022 Embrace the Gap: VAEs Perform Independent Mechanism Analysis Patrik Reizinger, Luigi Gresele, Jack Brady, Julius von Kügelgen, Dominik Zietlow, Bernhard Schölkopf, Georg Martius, Wieland Brendel, Michel Besserve

CoRL 2022 Learning Agile Skills via Adversarial Imitation of Rough Partial Demonstrations Chenhao Li, Marin Vlastelica, Sebastian Blaes, Jonas Frey, Felix Grimminger, Georg Martius

CoRL 2022 Learning with Muscles: Benefits for Data-Efficiency and Robustness in Anthropomorphic Tasks Isabell Wochner, Pierre Schumacher, Georg Martius, Dieter Büchler, Syn Schmitt, Daniel Haeufle

NeurIPSW 2022 Neural All-Pairs Shortest Path for Reinforcement Learning Cristina Pinneri, Georg Martius, Andreas Krause

ICLR 2022 On the Pitfalls of Heteroscedastic Uncertainty Estimation with Probabilistic Neural Networks Maximilian Seitzer, Arash Tavakoli, Dimitrije Antic, Georg Martius

NeurIPSW 2022 Pink Noise Is All You Need: Colored Noise Exploration in Deep Reinforcement Learning Onno Eberhard, Jakob Hollenstein, Cristina Pinneri, Georg Martius

NeurIPS 2021 Causal Influence Detection for Improving Efficiency in Reinforcement Learning Maximilian Seitzer, Bernhard Schölkopf, Georg Martius

ICML 2021 CombOptNet: Fit the Right NP-Hard Problem by Learning Integer Programming Constraints Anselm Paulus, Michal Rolinek, Vit Musil, Brandon Amos, Georg Martius

ICML 2021 Demystifying Inductive Biases for (Beta-)VAE Based Architectures Dominik Zietlow, Michal Rolinek, Georg Martius

ICLR 2021 Extracting Strong Policies for Robotics Tasks from Zero-Order Trajectory Optimizers Cristina Pinneri, Shambhuraj Sawant, Sebastian Blaes, Georg Martius

NeurIPS 2021 Hierarchical Reinforcement Learning with Timed Subgoals Nico Gürtler, Dieter Büchler, Georg Martius

ICML 2021 Neuro-Algorithmic Policies Enable Fast Combinatorial Generalization Marin Vlastelica, Michal Rolinek, Georg Martius

NeurIPS 2021 Planning from Pixels in Environments with Combinatorially Hard Search Spaces Marco Bagatella, Miroslav Olšák, Michal Rolínek, Georg Martius

ICMLW 2021 Planning from Pixels in Environments with Combinatorially Hard Search Spaces Marco Bagatella, Miroslav Olšák, Michal Rolinek, Georg Martius

CoRL 2021 Risk-Averse Zero-Order Trajectory Optimization Marin Vlastelica, Sebastian Blaes, Cristina Pinneri, Georg Martius

CoRL 2021 Self-Supervised Reinforcement Learning with Independently Controllable Subgoals Andrii Zadaianchuk, Georg Martius, Fanny Yang

ICLR 2021 Self-Supervised Visual Reinforcement Learning with Object-Centric Representations Andrii Zadaianchuk, Maximilian Seitzer, Georg Martius

NeurIPS 2021 Sparsely Changing Latent States for Prediction and Planning in Partially Observable Domains Christian Gumbsch, Martin V. Butz, Georg Martius

ECCV 2020 Deep Graph Matching via Blackbox Differentiation of Combinatorial Solvers Michal Rolínek, Paul Swoboda, Dominik Zietlow, Anselm Paulus, Vít Musil, Georg Martius

ICLR 2020 Differentiation of Blackbox Combinatorial Solvers Marin Vlastelica, Anselm Paulus, Vít Musil, Georg Martius, Michal Rolínek

NeurIPSW 2020 Discrete Planning with Neuro-Algorithmic Policies Marin Vlastelica Pogančić, Michal Rolinek, Georg Martius

NeurIPSW 2020 Fit the Right NP-Hard Problem: End-to-End Learning of Integer Programming Constraints Anselm Paulus, Michal Rolinek, Vít Musil, Brandon Amos, Georg Martius

CoRL 2020 Sample-Efficient Cross-Entropy Method for Real-Time Planning Cristina Pinneri, Shambhuraj Sawant, Sebastian Blaes, Jan Achterhold, Joerg Stueckler, Michal Rolinek, Georg Martius

NeurIPS 2019 Control What You Can: Intrinsically Motivated Task-Planning Agent Sebastian Blaes, Marin Vlastelica Pogančić, Jiajie Zhu, Georg Martius

NeurIPS 2018 L4: Practical Loss-Based Stepsize Adaptation for Deep Learning Michal Rolinek, Georg Martius

ICML 2018 Learning Equations for Extrapolation and Control Subham Sahoo, Christoph Lampert, Georg Martius

ICLR 2017 Extrapolation and Learning Equations Georg Martius, Christoph H. Lampert