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Home/Authors/Georg Martius

Georg Martius

Topic trends: 32,543 papers · similarity ≥ 0.4 · year ≥ 2024 · Data sourced from Semantic Scholar

34,598 papers | Abstracts: 31,650 (91.5%) | Citations: 34,598 (100.0%) | arXiv: 26,074 (75.4%)

Built: Feb 14, 2026, 8:46 PM AMS

21

papers

497

total citations

papers (21)

Causal Influence Detection for Improving Efficiency in Reinforcement Learning

NEURIPS 2021arXiv

Optimizing Rank-Based Metrics With Blackbox Differentiation

Object-Centric Learning for Real-World Videos by Predicting Temporal Feature Similarities

NEURIPS 2023arXiv

Learning with 3D rotations, a hitchhiker's guide to SO(3)

Curious Exploration via Structured World Models Yields Zero-Shot Object Manipulation

NEURIPS 2022arXiv

Hierarchical Reinforcement Learning with Timed Subgoals

NEURIPS 2021arXiv

Embrace the Gap: VAEs Perform Independent Mechanism Analysis

NEURIPS 2022arXiv

Sparsely Changing Latent States for Prediction and Planning in Partially Observable Domains

NEURIPS 2021arXiv

Temporally Consistent Object-Centric Learning by Contrasting Slots

Causal Action Influence Aware Counterfactual Data Augmentation

Planning from Pixels in Environments with Combinatorially Hard Search Spaces

NEURIPS 2021arXiv

Online Learning under Adversarial Nonlinear Constraints

NEURIPS 2023arXiv

Colored Noise in PPO: Improved Exploration and Performance through Correlated Action Sampling

Regularity as Intrinsic Reward for Free Play

NEURIPS 2023arXiv

Active Fine-Tuning of Multi-Task Policies

SENSEI: Semantic Exploration Guided by Foundation Models to Learn Versatile World Models

LPGD: A General Framework for Backpropagation through Embedded Optimization Layers

Advancing Out-of-Distribution Detection via Local Neuroplasticity

Goal-conditioned Offline Planning from Curious Exploration

NEURIPS 2023arXiv

Forecasting in Offline Reinforcement Learning for Non-stationary Environments

NEURIPS 2025arXiv

Modelling Microbial Communities with Graph Neural Networks