Fischer, Ian

21 publications

ICML 2024 A Human-Inspired Reading Agent with Gist Memory of Very Long Contexts Kuang-Huei Lee, Xinyun Chen, Hiroki Furuta, John Canny, Ian Fischer

ICLRW 2024 A Human-Inspired Reading Agent with Gist Memory of Very Long Contexts Kuang-Huei Lee, Xinyun Chen, Hiroki Furuta, John Canny, Ian Fischer

AISTATS 2023 Sparsity-Inducing Categorical Prior Improves Robustness of the Information Bottleneck Anirban Samaddar, Sandeep Madireddy, Prasanna Balaprakash, Taps Maiti, Gustavo Campos, Ian Fischer

ICLR 2023 Weighted Ensemble Self-Supervised Learning Yangjun Ruan, Saurabh Singh, Warren Richard Morningstar, Alexander A Alemi, Sergey Ioffe, Ian Fischer, Joshua V. Dillon

NeurIPS 2022 Deep Hierarchical Planning from Pixels Danijar Hafner, Kuang-Huei Lee, Ian Fischer, Pieter Abbeel

NeurIPS 2022 Multi-Game Decision Transformers Kuang-Huei Lee, Ofir Nachum, Mengjiao Yang, Lisa Lee, Daniel Freeman, Sergio Guadarrama, Ian Fischer, Winnie Xu, Eric Jang, Henryk Michalewski, Igor Mordatch

CoRL 2022 PI-QT-Opt: Predictive Information Improves Multi-Task Robotic Reinforcement Learning at Scale Kuang-Huei Lee, Ted Xiao, Adrian Li, Paul Wohlhart, Ian Fischer, Yao Lu

NeurIPS 2021 Compressive Visual Representations Kuang-Huei Lee, Anurag Arnab, Sergio Guadarrama, John Canny, Ian Fischer

NeurIPS 2020 An Unsupervised Information-Theoretic Perceptual Quality Metric Sangnie Bhardwaj, Ian Fischer, Johannes Ballé, Troy Chinen

ECML-PKDD 2020 Information-Bottleneck Approach to Salient Region Discovery Andrey Zhmoginov, Ian Fischer, Mark Sandler

ICLR 2020 Phase Transitions for the Information Bottleneck in Representation Learning Tailin Wu, Ian Fischer

NeurIPS 2020 Predictive Information Accelerates Learning in RL Kuang-Huei Lee, Ian Fischer, Anthony Liu, Yijie Guo, Honglak Lee, John Canny, Sergio Guadarrama

UAI 2019 Learnability for the Information Bottleneck Tailin Wu, Ian Fischer, Isaac L. Chuang, Max Tegmark

ICLRW 2019 Learnability for the Information Bottleneck Tailin Wu, Ian Fischer, Isaac Chuang, Max Tegmark

ICML 2019 Learning Latent Dynamics for Planning from Pixels Danijar Hafner, Timothy Lillicrap, Ian Fischer, Ruben Villegas, David Ha, Honglak Lee, James Davidson

ICML 2018 Fixing a Broken ELBO Alexander Alemi, Ben Poole, Ian Fischer, Joshua Dillon, Rif A. Saurous, Kevin Murphy

NeurIPS 2018 GILBO: One Metric to Measure Them All Alexander A Alemi, Ian Fischer

ICLR 2018 Generative Models of Visually Grounded Imagination Ramakrishna Vedantam, Ian Fischer, Jonathan Huang, Kevin Murphy

AAAI 2018 Learning to Attack: Adversarial Transformation Networks Shumeet Baluja, Ian Fischer

ICLR 2017 Deep Variational Information Bottleneck Alexander A. Alemi, Ian Fischer, Joshua V. Dillon, Kevin Murphy

CVPR 2017 Speed/Accuracy Trade-Offs for Modern Convolutional Object Detectors Jonathan Huang, Vivek Rathod, Chen Sun, Menglong Zhu, Anoop Korattikara, Alireza Fathi, Ian Fischer, Zbigniew Wojna, Yang Song, Sergio Guadarrama, Kevin Murphy