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09/13/2023
Latent Representation and Simulation of Markov Processes via Time-Lagged Information Bottleneck
Markov processes are widely used mathematical models for describing dyna...
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06/01/2023
On the Effectiveness of Hybrid Mutual Information Estimation
Estimating the mutual information from samples from a joint distribution...
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02/01/2023
Two for One: Diffusion Models and Force Fields for Coarse-Grained Molecular Dynamics
Coarse-grained (CG) molecular dynamics enables the study of biological p...
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06/13/2022
Compositional Mixture Representations for Vision and Text
Learning a common representation space between vision and language allow...
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11/14/2021
Towards Lightweight Controllable Audio Synthesis with Conditional Implicit Neural Representations
The high temporal resolution of audio and our perceptual sensitivity to ...
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07/20/2021
A Bayesian Approach to Invariant Deep Neural Networks
We propose a novel Bayesian neural network architecture that can learn i...
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06/07/2021
An Information-theoretic Approach to Distribution Shifts
Safely deploying machine learning models to the real world is often a ch...
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02/17/2020
Learning Robust Representations via Multi-View Information Bottleneck
The information bottleneck principle provides an information-theoretic m...
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11/17/2017
