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08/23/2023
Graph Neural Stochastic Differential Equations
We present a novel model Graph Neural Stochastic Differential Equations ...
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02/20/2023
Fast and Painless Image Reconstruction in Deep Image Prior Subspaces
The deep image prior (DIP) is a state-of-the-art unsupervised approach f...
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10/29/2021
Resampling Base Distributions of Normalizing Flows
Normalizing flows are a popular class of models for approximating probab...
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10/29/2021
DOCKSTRING: easy molecular docking yields better benchmarks for ligand design
The field of machine learning for drug discovery is witnessing an explos...
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12/02/2020
FIT: a Fast and Accurate Framework for Solving Medical Inquiring and Diagnosing Tasks
Automatic self-diagnosis provides low-cost and accessible healthcare via...
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06/30/2020
Sliced Kernelized Stein Discrepancy
Kernelized Stein discrepancy (KSD), though being extensively used in goo...
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06/18/2020
Predictive Complexity Priors
Specifying a Bayesian prior is notoriously difficult for complex models ...
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09/25/2019
A Generative Model for Molecular Distance Geometry
Computing equilibrium states for many-body systems, such as molecules, i...
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09/28/2018
EDDI: Efficient Dynamic Discovery of High-Value Information with Partial VAE
Making decisions requires information relevant to the task at hand. Many...
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05/23/2018
