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Georg Martius

47 papers · 2018–2025 · 7 conferences · across top CS/AI conferences

Achievements

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+12 more ↓ ๐ŸŒˆ Renaissance Researcher (7) ๐ŸŒ‰ Interdisciplinary Bridge ๐ŸŒ Conference Polyglot (7) ๐Ÿƒ Academic Marathon (7) ๐Ÿ—บ๏ธ Taxonomy Completionist (41)
๐Ÿ—บ๏ธ Taxonomy Completionist (41) ๐Ÿงญ Keyword Pioneer ๐Ÿฃ Hot Topic Early Bird ๐Ÿ† Grand Slam ๐Ÿงฌ Topic Evolution ๐Ÿค Dynamic Duo (10) ๐Ÿ† Keyword Champion (2) ๐Ÿ‘‘ Triple Crown ๐Ÿ”ฅ Unstoppable (8) โšก Prolific Year (11) ๐Ÿ’Ž Century Club (47) ๐Ÿ—ƒ๏ธ Keyword Collector (118)

Conferences

ICLR (14) NIPS (12) ICML (11) CORL (5) CVPR (3) AAAI (1) ECCV (1)

Papers

Temporally Consistent Object-Centric Learning by Contrasting Slots CVPR 2025 On the Transfer of Object-Centric Representation Learning ICLR 2025 Advancing Out-of-Distribution Detection via Local Neuroplasticity ICLR 2025 Zero-Shot Offline Imitation Learning via Optimal Transport ICML 2025 SENSEI: Semantic Exploration Guided by Foundation Models to Learn Versatile World Models ICML 2025 Active Fine-Tuning of Multi-Task Policies ICML 2025 Learning Hierarchical World Models with Adaptive Temporal Abstractions from Discrete Latent Dynamics ICLR 2024 Emergent mechanisms for long timescales depend on training curriculum and affect performance in memory tasks ICLR 2024 Learning with 3D rotations, a hitchhikerโ€™s guide to SO(3) ICML 2024 Causal Action Influence Aware Counterfactual Data Augmentation ICML 2024 LPGD: A General Framework for Backpropagation through Embedded Optimization Layers ICML 2024 Colored Noise in PPO: Improved Exploration and Performance through Correlated Action Sampling AAAI 2024 Modelling Microbial Communities with Graph Neural Networks ICML 2024 Multi-View Causal Representation Learning with Partial Observability ICLR 2024 The Expressive Leaky Memory Neuron: an Efficient and Expressive Phenomenological Neuron Model Can Solve Long-Horizon Tasks. ICLR 2024 DEP-RL: Embodied Exploration for Reinforcement Learning in Overactuated and Musculoskeletal Systems ICLR 2023 Benchmarking Offline Reinforcement Learning on Real-Robot Hardware ICLR 2023 Goal-conditioned Offline Planning from Curious Exploration NIPS 2023 Online Learning under Adversarial Nonlinear Constraints NIPS 2023 Object-Centric Learning for Real-World Videos by Predicting Temporal Feature Similarities NIPS 2023 Regularity as Intrinsic Reward for Free Play NIPS 2023 Backpropagation through Combinatorial Algorithms: Identity with Projection Works ICLR 2023 Pink Noise Is All You Need: Colored Noise Exploration in Deep Reinforcement Learning ICLR 2023 Embrace the Gap: VAEs Perform Independent Mechanism Analysis NIPS 2022 Curious Exploration via Structured World Models Yields Zero-Shot Object Manipulation NIPS 2022 On the Pitfalls of Heteroscedastic Uncertainty Estimation with Probabilistic Neural Networks ICLR 2022 Learning with Muscles: Benefits for Data-Efficiency and Robustness in Anthropomorphic Tasks CORL 2022 Learning Agile Skills via Adversarial Imitation of Rough Partial Demonstrations CORL 2022 Extracting Strong Policies for Robotics Tasks from Zero-Order Trajectory Optimizers ICLR 2021 Sparsely Changing Latent States for Prediction and Planning in Partially Observable Domains NIPS 2021 Hierarchical Reinforcement Learning with Timed Subgoals NIPS 2021 Causal Influence Detection for Improving Efficiency in Reinforcement Learning NIPS 2021 Planning from Pixels in Environments with Combinatorially Hard Search Spaces NIPS 2021 Self-supervised Reinforcement Learning with Independently Controllable Subgoals CORL 2021 Risk-Averse Zero-Order Trajectory Optimization CORL 2021 Self-supervised Visual Reinforcement Learning with Object-centric Representations ICLR 2021 CombOptNet: Fit the Right NP-Hard Problem by Learning Integer Programming Constraints ICML 2021 Neuro-algorithmic Policies Enable Fast Combinatorial Generalization ICML 2021 Demystifying Inductive Biases for (Beta-)VAE Based Architectures ICML 2021 Sample-efficient Cross-Entropy Method for Real-time Planning CORL 2020 Differentiation of Blackbox Combinatorial Solvers ICLR 2020 Deep Graph Matching via Blackbox Differentiation of Combinatorial Solvers ECCV 2020 Optimizing Rank-Based Metrics With Blackbox Differentiation CVPR 2020 Control What You Can: Intrinsically Motivated Task-Planning Agent NIPS 2019 Variational Autoencoders Pursue PCA Directions (by Accident) CVPR 2019 L4: Practical loss-based stepsize adaptation for deep learning NIPS 2018 Learning Equations for Extrapolation and Control ICML 2018