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Compressive Visual Representations


Sep 29, 2021
Kuang-Huei Lee, Anurag Arnab, Sergio Guadarrama, John Canny, Ian Fischer

* 27 pages, 4 figures, to appear at NeurIPS 2021 

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VIB is Half Bayes


Nov 17, 2020
Alexander A Alemi, Warren R Morningstar, Ben Poole, Ian Fischer, Joshua V Dillon


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Predictive Information Accelerates Learning in RL


Jul 24, 2020
Kuang-Huei Lee, Ian Fischer, Anthony Liu, Yijie Guo, Honglak Lee, John Canny, Sergio Guadarrama


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Cycles in Causal Learning


Jul 24, 2020
Katie Everett, Ian Fischer


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An Unsupervised Information-Theoretic Perceptual Quality Metric


Jun 11, 2020
Sangnie Bhardwaj, Ian Fischer, Johannes Ballé, Troy Chinen

* Submitted to the 34th Conference on Neural Information Processing Systems (NeurIPS 2020) 

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CEB Improves Model Robustness


Feb 13, 2020
Ian Fischer, Alexander A. Alemi


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The Conditional Entropy Bottleneck


Feb 13, 2020
Ian Fischer


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Phase Transitions for the Information Bottleneck in Representation Learning


Jan 07, 2020
Tailin Wu, Ian Fischer

* ICLR 2020; 27 pages, 7 figures 

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Information-Bottleneck Approach to Salient Region Discovery


Jul 22, 2019
Andrey Zhmoginov, Ian Fischer, Mark Sandler


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Learnability for the Information Bottleneck


Jul 17, 2019
Tailin Wu, Ian Fischer, Isaac L. Chuang, Max Tegmark

* Accepted at UAI 2019 

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Dueling Decoders: Regularizing Variational Autoencoder Latent Spaces


May 17, 2019
Bryan Seybold, Emily Fertig, Alex Alemi, Ian Fischer

* 16 pages, 9 figures, supplemental 

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Learning Latent Dynamics for Planning from Pixels


Dec 03, 2018
Danijar Hafner, Timothy Lillicrap, Ian Fischer, Ruben Villegas, David Ha, Honglak Lee, James Davidson

* 10 pages, 5 figures, 1 table 

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GILBO: One Metric to Measure Them All


Oct 27, 2018
Alexander A. Alemi, Ian Fischer

* Accepted at NIPS 2018 

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TherML: Thermodynamics of Machine Learning


Oct 04, 2018
Alexander A. Alemi, Ian Fischer

* Presented at the ICML 2018 workshop on Theoretical Foundations and Applications of Deep Generative Models 

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Uncertainty in the Variational Information Bottleneck


Jul 02, 2018
Alexander A. Alemi, Ian Fischer, Joshua V. Dillon

* 10 pages, 7 figures. Accepted to UAI 2018 - Uncertainty in Deep Learning Workshop 

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Generative Models of Visually Grounded Imagination


Feb 25, 2018
Ramakrishna Vedantam, Ian Fischer, Jonathan Huang, Kevin Murphy

* International Conference on Learning Representations (ICLR), 2018 

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Fixing a Broken ELBO


Feb 13, 2018
Alexander A. Alemi, Ben Poole, Ian Fischer, Joshua V. Dillon, Rif A. Saurous, Kevin Murphy

* 21 pages, 9 figures 

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Deep Variational Information Bottleneck


Jul 17, 2017
Alexander A. Alemi, Ian Fischer, Joshua V. Dillon, Kevin Murphy

* 19 pages, 8 figures, Accepted to ICLR17 

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Speed/accuracy trade-offs for modern convolutional object detectors


Apr 25, 2017
Jonathan Huang, Vivek Rathod, Chen Sun, Menglong Zhu, Anoop Korattikara, Alireza Fathi, Ian Fischer, Zbigniew Wojna, Yang Song, Sergio Guadarrama, Kevin Murphy

* Accepted to CVPR 2017 

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Adversarial Transformation Networks: Learning to Generate Adversarial Examples


Mar 28, 2017
Shumeet Baluja, Ian Fischer


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Adversarial examples for generative models


Feb 22, 2017
Jernej Kos, Ian Fischer, Dawn Song


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