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Andreas Krause

Department of Computer Science, ETH Zürich

NIL: No-data Imitation Learning by Leveraging Pre-trained Video Diffusion Models

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Mar 13, 2025
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Performance-driven Constrained Optimal Auto-Tuner for MPC

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Mar 10, 2025
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Confidence Estimation via Sequential Likelihood Mixing

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Feb 20, 2025
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Probabilistic Artificial Intelligence

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Feb 07, 2025
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Toward Task Generalization via Memory Augmentation in Meta-Reinforcement Learning

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Feb 03, 2025
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International AI Safety Report

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Jan 29, 2025
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Robotic World Model: A Neural Network Simulator for Robust Policy Optimization in Robotics

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Jan 17, 2025
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MaxInfoRL: Boosting exploration in reinforcement learning through information gain maximization

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Dec 16, 2024
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Generative Intervention Models for Causal Perturbation Modeling

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Nov 21, 2024
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Residual Deep Gaussian Processes on Manifolds

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Oct 31, 2024
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