Andreas Krause - Dissemin

All papers authored by Andreas Krause

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2024 Arjun Bhardwaj

, Jonas Rothfuss

, Bhavya Sukhija

, Yarden As

, Marco Hutter

, Stelian Coros

, Andreas Krause

Data-Efficient Task Generalization via Probabilistic Model-Based Meta Reinforcement Learning

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This paper was not found in any repository; the policy of its publisher is unknown or unclear.

Tobias Vornholt, Mojmír Mutný, Gregor W. Schmidt, Christian Schellhaas, Ryo Tachibana, Sven Panke, Thomas R. Ward, Andreas Krause

, Markus Jeschek

Enhanced Sequence-Activity Mapping and Evolution of Artificial Metalloenzymes by Active Learning

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Manish Prajapat, Mojḿir Mutný, Melanie N. Zeilinger, Andreas Krause

Submodular Reinforcement Learning

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2023 Christopher König, Miks Ozols, Anastasia Makarova, Efe C. Balta

, Andreas Krause

, Alisa Rupenyan

Safe Risk-Averse Bayesian Optimization for Controller Tuning

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Charlotte Bunne

, Stefan G. Stark, Gabriele Gut

, Jacobo Sarabia del Castillo, Mitch Levesque, Kjong-Van Lehmann

, Lucas Pelkmans

, Andreas Krause

, Gunnar Rätsch

Author Correction: Learning single-cell perturbation responses using neural optimal transport

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Charlotte Bunne

, Stefan G. Stark, Gabriele Gut

, Jacobo Sarabia del Castillo, Mitch Levesque, Kjong Van Lehmann, Kjong-Van Lehmann

, Lucas Pelkmans

, Andreas Krause

, Gunnar Rätsch

Learning single-cell perturbation responses using neural optimal transport

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This paper is made freely available by the publisher.

Jens Witkowski

, Rupert Freeman

, Jennifer Wortman Vaughan

, David M. Pennock

, Andreas Krause

Incentive-Compatible Forecasting Competitions

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Daniel Widmer, Dongho Kang, Bhavya Sukhija, Jonas Hübotter, Andreas Krause

, Stelian Coros

Tuning Legged Locomotion Controllers via Safe Bayesian Optimization

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Lars Lorch, Andreas Krause

, Bernhard Schölkopf

Causal Modeling with Stationary Diffusions

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Omar G. Younis, Matteo Turchetta, Daniel Ariza Suarez, Steven Yates, Bruno Studer, Ioannis N. Athanasiadis, Andreas Krause

, Joachim M. Buhmann, Luca Corinzia

ChromaX: a Fast and Scalable Breeding Program Simulator

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David Lindner, Xin Chen, Sebastian Tschiatschek, Katja Hofmann, Andreas Krause

Learning Safety Constraints from Demonstrations with Unknown Rewards

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Barna Pásztor, Andreas Krause

, Ilija Bogunovic

Efficient Model-Based Multi-Agent Mean-Field Reinforcement Learning

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Bhavya Sukhija, Nathanael Köhler, Miguel Zamora, Simon Zimmermann, Sebastian Curi, Andreas Krause

, Stelian Coros

Gradient-Based Trajectory Optimization With Learned Dynamics

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Bhavya Sukhija, Lenart Treven, Cansu Sancaktar, Sebastian Blaes, Stelian Coros, Andreas Krause

Optimistic Active Exploration of Dynamical Systems

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Jonas Rothfuss, Martin Josifoski, Vincent Fortuin, Andreas Krause

Scalable PAC-Bayesian Meta-Learning via the PAC-Optimal Hyper-Posterior: From Theory to Practice

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Viacheslav Borovitskiy, Mohammad Reza Karimi, Vignesh Ram Somnath, Andreas Krause

Isotropic Gaussian Processes on Finite Spaces of Graphs

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Songyan Hou*, Parnian Kassraie*, Anastasis Kratsios*, Andreas Krause

, Jonas Rothfuss*

Instance-Dependent Generalization Bounds via Optimal Transport

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Felix Schur*, Parnian Kassraie*, Jonas Rothfuss, Andreas Krause

Lifelong Bandit Optimization: No Prior and No Regret

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Scott Sussex, Anastasiia Makarova, Andreas Krause

Model-based Causal Bayesian Optimization

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Matteo Pariset, Ya-Ping Hsieh, Charlotte Bunne, Andreas Krause

, Valentin De Bortoli

Unbalanced Diffusion Schrödinger Bridge

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All papers authored by Andreas Krause