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Tim G. J. Rudner

Learning from Reward-Free Offline Data: A Case for Planning with Latent Dynamics Models

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Feb 20, 2025
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Can Transformers Learn Full Bayesian Inference in Context?

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Jan 28, 2025
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Improving Pre-Trained Self-Supervised Embeddings Through Effective Entropy Maximization

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Nov 24, 2024
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Exploring the Manifold of Neural Networks Using Diffusion Geometry

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Nov 19, 2024
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A Monte Carlo Framework for Calibrated Uncertainty Estimation in Sequence Prediction

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Oct 30, 2024
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Geometry-Aware Generative Autoencoders for Warped Riemannian Metric Learning and Generative Modeling on Data Manifolds

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Oct 16, 2024
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Context-Guided Diffusion for Out-of-Distribution Molecular and Protein Design

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Jul 16, 2024
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Pre-trained Text-to-Image Diffusion Models Are Versatile Representation Learners for Control

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May 09, 2024
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Attacking Bayes: On the Adversarial Robustness of Bayesian Neural Networks

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Apr 27, 2024
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Mind the GAP: Improving Robustness to Subpopulation Shifts with Group-Aware Priors

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Mar 14, 2024
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