Ian Fischer

Publication Activity (10 Years)

Years Active: 2006-2024
Publications (10 Years): 44

Top Topics

Generative Model

Reinforcement Learning

Intensity Difference

Visual Representations

Top Venues

Publications

Kuang-Huei Lee, Xinyun Chen, Hiroki Furuta, John F. Canny, Ian Fischer
A Human-Inspired Reading Agent with Gist Memory of Very Long Contexts. CoRR (2024)
Anirban Samaddar, Sandeep Madireddy, Prasanna Balaprakash, Taps Maiti, Gustavo de los Campos, Ian Fischer
Sparsity-Inducing Categorical Prior Improves Robustness of the Information Bottleneck. AISTATS (2023)
Yangjun Ruan, Saurabh Singh, Warren Richard Morningstar, Alexander A. Alemi, Sergey Ioffe, Ian Fischer, Joshua V. Dillon
Weighted Ensemble Self-Supervised Learning. ICLR (2023)
Xin Chen, Sam Toyer, Cody Wild, Scott Emmons, Ian Fischer, Kuang-Huei Lee, Neel Alex, Steven H. Wang, Ping Luo, Stuart Russell, Pieter Abbeel, Rohin Shah
An Empirical Investigation of Representation Learning for Imitation. CoRR (2022)
Yangjun Ruan, Saurabh Singh, Warren R. Morningstar, Alexander A. Alemi, Sergey Ioffe, Ian Fischer, Joshua V. Dillon
Weighted Ensemble Self-Supervised Learning. CoRR (2022)
Danijar Hafner, Kuang-Huei Lee, Ian Fischer, Pieter Abbeel
Deep Hierarchical Planning from Pixels. NeurIPS (2022)
Kuang-Huei Lee, Ofir Nachum, Mengjiao Yang, Lisa Lee, Daniel Freeman, Sergio Guadarrama, Ian Fischer, Winnie Xu, Eric Jang, Henryk Michalewski, Igor Mordatch
Multi-Game Decision Transformers. NeurIPS (2022)
Kuang-Huei Lee, Ofir Nachum, Mengjiao Yang, Lisa Lee, Daniel Freeman, Winnie Xu, Sergio Guadarrama, Ian Fischer, Eric Jang, Henryk Michalewski, Igor Mordatch
Multi-Game Decision Transformers. CoRR (2022)
Kuang-Huei Lee, Ted Xiao, Adrian Li, Paul Wohlhart, Ian Fischer, Yao Lu
PI-QT-Opt: Predictive Information Improves Multi-Task Robotic Reinforcement Learning at Scale. CoRR (2022)
Kuang-Huei Lee, Ted Xiao, Adrian Li, Paul Wohlhart, Ian Fischer, Yao Lu
PI-QT-Opt: Predictive Information Improves Multi-Task Robotic Reinforcement Learning at Scale. CoRL (2022)
Danijar Hafner, Kuang-Huei Lee, Ian Fischer, Pieter Abbeel
Deep Hierarchical Planning from Pixels. CoRR (2022)
Kuang-Huei Lee, Anurag Arnab, Sergio Guadarrama, John F. Canny, Ian Fischer
Compressive Visual Representations. CoRR (2021)
Cynthia Chen, Xin Chen, Sam Toyer, Cody Wild, Scott Emmons, Ian Fischer, Kuang-Huei Lee, Neel Alex, Steven H. Wang, Ping Luo, Stuart Russell, Pieter Abbeel, Rohin Shah
An Empirical Investigation of Representation Learning for Imitation. NeurIPS Datasets and Benchmarks (2021)
Kuang-Huei Lee, Anurag Arnab, Sergio Guadarrama, John F. Canny, Ian Fischer
Compressive Visual Representations. NeurIPS (2021)
Andrey Zhmoginov, Ian Fischer, Mark Sandler
Information-Bottleneck Approach to Salient Region Discovery. ECML/PKDD (3) (2020)
Kuang-Huei Lee, Ian Fischer, Anthony Liu, Yijie Guo, Honglak Lee, John F. Canny, Sergio Guadarrama
Predictive Information Accelerates Learning in RL. CoRR (2020)
Ian Fischer, Alexander A. Alemi
CEB Improves Model Robustness. CoRR (2020)
Katie Everett, Ian Fischer
Cycles in Causal Learning. CoRR (2020)
Kuang-Huei Lee, Ian Fischer, Anthony Liu, Yijie Guo, Honglak Lee, John F. Canny, Sergio Guadarrama
Predictive Information Accelerates Learning in RL. NeurIPS (2020)
Sangnie Bhardwaj, Ian Fischer, Johannes Ballé, Troy T. Chinen
An Unsupervised Information-Theoretic Perceptual Quality Metric. NeurIPS (2020)
Sangnie Bhardwaj, Ian Fischer, Johannes Ballé, Troy T. Chinen
An Unsupervised Information-Theoretic Perceptual Quality Metric. CoRR (2020)
Alexander A. Alemi, Warren R. Morningstar, Ben Poole, Ian Fischer, Joshua V. Dillon
VIB is Half Bayes. CoRR (2020)
Ian Fischer, Alexander A. Alemi
CEB Improves Model Robustness. Entropy 22 (10) (2020)
Bryan Seybold, Emily Fertig, Alex Alemi, Ian Fischer
Dueling Decoders: Regularizing Variational Autoencoder Latent Spaces. CoRR (2019)
Andrey Zhmoginov, Ian Fischer, Mark Sandler
Information-Bottleneck Approach to Salient Region Discovery. CoRR (2019)
Danijar Hafner, Timothy P. Lillicrap, Ian Fischer, Ruben Villegas, David Ha, Honglak Lee, James Davidson
Learning Latent Dynamics for Planning from Pixels. ICML (2019)
Alexander A. Alemi, Ben Poole, Ian Fischer, Joshua V. Dillon, Rif A. Saurous, Kevin Murphy
Fixing a Broken ELBO. ICML (2018)
Shumeet Baluja, Ian Fischer
Learning to Attack: Adversarial Transformation Networks. AAAI (2018)
Danijar Hafner, Timothy P. Lillicrap, Ian Fischer, Ruben Villegas, David Ha, Honglak Lee, James Davidson
Learning Latent Dynamics for Planning from Pixels. CoRR (2018)
Jernej Kos, Ian Fischer, Dawn Song
Adversarial Examples for Generative Models. IEEE Symposium on Security and Privacy Workshops (2018)
Alexander A. Alemi, Ian Fischer, Joshua V. Dillon
Uncertainty in the Variational Information Bottleneck. CoRR (2018)
Alexander A. Alemi, Ian Fischer
GILBO: One Metric to Measure Them All. NeurIPS (2018)
Alexander A. Alemi, Ian Fischer
GILBO: One Metric to Measure Them All. ICLR (Workshop) (2018)
Ramakrishna Vedantam, Ian Fischer, Jonathan Huang, Kevin Murphy
Generative Models of Visually Grounded Imagination. ICLR (Poster) (2018)
Alexander A. Alemi, Ian Fischer
GILBO: One Metric to Measure Them All. CoRR (2018)
Alexander A. Alemi, Ian Fischer
TherML: Thermodynamics of Machine Learning. CoRR (2018)
Alexander A. Alemi, Ian Fischer, Joshua V. Dillon, Kevin Murphy
Deep Variational Information Bottleneck. ICLR (Poster) (2017)
Ramakrishna Vedantam, Ian Fischer, Jonathan Huang, Kevin Murphy
Generative Models of Visually Grounded Imagination. CoRR (2017)
Jonathan Huang, Vivek Rathod, Chen Sun, Menglong Zhu, Anoop Korattikara, Alireza Fathi, Ian Fischer, Zbigniew Wojna, Yang Song, Sergio Guadarrama, Kevin Murphy
Speed/Accuracy Trade-Offs for Modern Convolutional Object Detectors. CVPR (2017)
Alexander A. Alemi, Ben Poole, Ian Fischer, Joshua V. Dillon, Rif A. Saurous, Kevin Murphy
An Information-Theoretic Analysis of Deep Latent-Variable Models. CoRR (2017)
Jernej Kos, Ian Fischer, Dawn Song
Adversarial examples for generative models. CoRR (2017)
Shumeet Baluja, Ian Fischer
Adversarial Transformation Networks: Learning to Generate Adversarial Examples. CoRR (2017)
Alexander A. Alemi, Ian Fischer, Joshua V. Dillon, Kevin Murphy
Deep Variational Information Bottleneck. CoRR (2016)
Jonathan Huang, Vivek Rathod, Chen Sun, Menglong Zhu, Anoop Korattikara, Alireza Fathi, Ian Fischer, Zbigniew Wojna, Yang Song, Sergio Guadarrama, Kevin Murphy
Speed/accuracy trade-offs for modern convolutional object detectors. CoRR (2016)
Dawn Song, Elaine Shi, Ian Fischer, Umesh Shankar
Cloud Data Protection for the Masses. Computer 45 (1) (2012)
Stuart E. Schechter, Rachna Dhamija, Andy Ozment, Ian Fischer
The Emperor's New Security Indicators. IEEE Symposium on Security and Privacy (2007)
Ian Fischer, Craig Gotsman
Fast Approximation of High-Order Voronoi Diagrams and Distance Transforms on the GPU. J. Graph. Tools 11 (4) (2006)
Craig Gotsman, Ian Fischer
Computing Depth Contours with Graphics Hardware. CCCG (2006)