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05/16/2023
Random Edge Coding: One-Shot Bits-Back Coding of Large Labeled Graphs
We present a one-shot method for compressing large labeled graphs called...
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01/19/2023
Quantum HyperNetworks: Training Binary Neural Networks in Quantum Superposition
Binary neural networks, i.e., neural networks whose parameters and activ...
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10/13/2022
Action Matching: A Variational Method for Learning Stochastic Dynamics from Samples
Stochastic dynamics are ubiquitous in many fields of science, from the e...
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01/26/2022
Variational Model Inversion Attacks
Given the ubiquity of deep neural networks, it is important that these m...
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07/15/2021
Compressing Multisets with Large Alphabets
Current methods that optimally compress multisets are not suitable for h...
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02/22/2021
Improving Lossless Compression Rates via Monte Carlo Bits-Back Coding
Latent variable models have been successfully applied in lossless compre...
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12/31/2020
Likelihood Ratio Exponential Families
The exponential family is well known in machine learning and statistical...
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08/15/2020
Evaluating Lossy Compression Rates of Deep Generative Models
The field of deep generative modeling has succeeded in producing astonis...
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05/24/2018
Implicit Autoencoders
In this paper, we describe the "implicit autoencoder" (IAE), a generativ...
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08/16/2017
StarCraft II: A New Challenge for Reinforcement Learning
This paper introduces SC2LE (StarCraft II Learning Environment), a reinf...
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11/18/2015
Adversarial Autoencoders
In this paper, we propose the "adversarial autoencoder" (AAE), which is ...
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09/09/2014
