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09/18/2023
Generating and Imputing Tabular Data via Diffusion and Flow-based Gradient-Boosted Trees
Tabular data is hard to acquire and is subject to missing values. This p...
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05/25/2023
Explainability Techniques for Chemical Language Models
Explainability techniques are crucial in gaining insights into the reaso...
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04/12/2023
Diffusion models with location-scale noise
Diffusion Models (DMs) are powerful generative models that add Gaussian ...
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04/03/2023
Charting the Topography of the Neural Network Landscape with Thermal-Like Noise
The training of neural networks is a complex, high-dimensional, non-conv...
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10/02/2022
Safe Reinforcement Learning From Pixels Using a Stochastic Latent Representation
We address the problem of safe reinforcement learning from pixel observa...
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08/18/2022
Neural Payoff Machines: Predicting Fair and Stable Payoff Allocations Among Team Members
In many multi-agent settings, participants can form teams to achieve col...
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12/24/2021
Lyapunov Exponents for Diversity in Differentiable Games
Ridge Rider (RR) is an algorithm for finding diverse solutions to optimi...
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11/10/2021
Gradients are Not All You Need
Differentiable programming techniques are widely used in the community a...
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05/28/2021
Gotta Go Fast When Generating Data with Score-Based Models
Score-based (denoising diffusion) generative models have recently gained...
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04/09/2019
Novel Uncertainty Framework for Deep Learning Ensembles
Deep neural networks have become the default choice for many of the mach...
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05/30/2018
Learning multiple non-mutually-exclusive tasks for improved classification of inherently ordered labels
Medical image classification involves thresholding of labels that repres...
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04/28/2014
