Georg Martius
47 papers · 2018–2025 · 7 conferences · across top CS/AI conferences
Achievements
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๐ Renaissance Researcher (7) ๐ Interdisciplinary Bridge ๐ Conference Polyglot (7) ๐ Academic Marathon (7) ๐บ๏ธ Taxonomy Completionist (41)
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Taxonomy Completionist
(41)
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Keyword Pioneer
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Topic Evolution
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(10)
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Triple Crown
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Unstoppable
(8)
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Prolific Year
(11)
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Century Club
(47)
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Keyword Collector
(118)
Conferences
ICLR (14)
NIPS (12)
ICML (11)
CORL (5)
CVPR (3)
AAAI (1)
ECCV (1)
Top co-authors
Keywords
reinforcement learning
(5)
model-based reinforcement learning
(3)
model-based planning
(3)
representation learning
(3)
variational autoencoder
(3)
subgoal planning
(2)
robotic manipulation
(2)
object-centric learning
(2)
inductive bia
(2)
disentangled representation
(2)
robot manipulation
(2)
hierarchical reinforcement learning
(2)
deep reinforcement learning
(2)
video representation
(2)
trajectory optimization
(2)
intrinsic motivation
(2)
unsupervised learning
(2)
data efficiency
(2)
feature extraction
(1)
variational inference
(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 hitchhikerโs 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