Ian Fischer - RankMe

52 papers A* 12A 1Misc 1Journal 30Unranked 8

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	Adversarial Distilled Retrieval-Augmented Guarding Model for Online Malicious Intent Detection. CoRR Yihao Guo, Haocheng Bian, Liutong Zhou, Ze Wang, Zhaoyi Zhang, Francois Kawala, Milan Dean, Ian Fischer, Yuantao Peng, Noyan Tokgozoglu, Ivan Barrientos, Riyaaz Shaik, Rachel Li, Chandru Venkataraman, Reza Shifteh Far, Moses Pawar, Venkat Sundaranatha, Michael Xu, Frank Chu
2025	J	`jnl`	Evolving Deeper LLM Thinking. CoRR Kuang-Huei Lee, Ian Fischer, Yueh-Hua Wu, Dave Marwood, Shumeet Baluja, Dale Schuurmans, Xinyun Chen
2024	A*	`conf`	A Human-Inspired Reading Agent with Gist Memory of Very Long Contexts. ICML Kuang-Huei Lee, Xinyun Chen, Hiroki Furuta, John F. Canny, Ian Fischer
2024	J	`jnl`	A Human-Inspired Reading Agent with Gist Memory of Very Long Contexts. CoRR Kuang-Huei Lee, Xinyun Chen, Hiroki Furuta, John F. Canny, Ian Fischer
2024	J	`jnl`	Stochastic Sampling from Deterministic Flow Models. CoRR Saurabh Singh, Ian Fischer
2023	A	`conf`	Sparsity-Inducing Categorical Prior Improves Robustness of the Information Bottleneck. AISTATS Anirban Samaddar, Sandeep Madireddy, Prasanna Balaprakash, Taps Maiti, Gustavo de los Campos, Ian Fischer
2023	A*	`conf`	Weighted Ensemble Self-Supervised Learning. ICLR Yangjun Ruan, Saurabh Singh, Warren Richard Morningstar, Alexander A. Alemi, Sergey Ioffe, Ian Fischer, Joshua V. Dillon
2022	J	`jnl`	An Empirical Investigation of Representation Learning for Imitation. CoRR 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
2022	A*	`conf`	Deep Hierarchical Planning from Pixels. NeurIPS Danijar Hafner, Kuang-Huei Lee, Ian Fischer, Pieter Abbeel
2022	J	`jnl`	Deep Hierarchical Planning from Pixels. CoRR Danijar Hafner, Kuang-Huei Lee, Ian Fischer, Pieter Abbeel
2022	A*	`conf`	Multi-Game Decision Transformers. NeurIPS Kuang-Huei Lee, Ofir Nachum, Mengjiao Yang, Lisa Lee, Daniel Freeman, Sergio Guadarrama, Ian Fischer, Winnie Xu, Eric Jang, Henryk Michalewski, Igor Mordatch
2022	J	`jnl`	Multi-Game Decision Transformers. CoRR Kuang-Huei Lee, Ofir Nachum, Mengjiao Yang, Lisa Lee, Daniel Freeman, Winnie Xu, Sergio Guadarrama, Ian Fischer, Eric Jang, Henryk Michalewski, Igor Mordatch
2022	Misc	`conf`	PI-QT-Opt: Predictive Information Improves Multi-Task Robotic Reinforcement Learning at Scale. CoRL Kuang-Huei Lee, Ted Xiao, Adrian Li, Paul Wohlhart, Ian Fischer, Yao Lu
2022	J	`jnl`	PI-QT-Opt: Predictive Information Improves Multi-Task Robotic Reinforcement Learning at Scale. CoRR Kuang-Huei Lee, Ted Xiao, Adrian Li, Paul Wohlhart, Ian Fischer, Yao Lu
2022	J	`jnl`	Weighted Ensemble Self-Supervised Learning. CoRR Yangjun Ruan, Saurabh Singh, Warren R. Morningstar, Alexander A. Alemi, Sergey Ioffe, Ian Fischer, Joshua V. Dillon
2021	—	`conf`	An Empirical Investigation of Representation Learning for Imitation. NeurIPS Datasets and Benchmarks 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
2021	A*	`conf`	Compressive Visual Representations. NeurIPS Kuang-Huei Lee, Anurag Arnab, Sergio Guadarrama, John F. Canny, Ian Fischer
2021	J	`jnl`	Compressive Visual Representations. CoRR Kuang-Huei Lee, Anurag Arnab, Sergio Guadarrama, John F. Canny, Ian Fischer
2020	A*	`conf`	An Unsupervised Information-Theoretic Perceptual Quality Metric. NeurIPS Sangnie Bhardwaj, Ian Fischer, Johannes Ballé, Troy T. Chinen
2020	J	`jnl`	An Unsupervised Information-Theoretic Perceptual Quality Metric. CoRR Sangnie Bhardwaj, Ian Fischer, Johannes Ballé, Troy T. Chinen
2020	J	`jnl`	CEB Improves Model Robustness. CoRR Ian Fischer, Alexander A. Alemi
2020	J	`jnl`	CEB Improves Model Robustness. Entropy Ian Fischer, Alexander A. Alemi
2020	J	`jnl`	Cycles in Causal Learning. CoRR Katie Everett, Ian Fischer
2020	—	`conf`	Information-Bottleneck Approach to Salient Region Discovery. ECML/PKDD (3) Andrey Zhmoginov, Ian Fischer, Mark Sandler
2020	A*	`conf`	Predictive Information Accelerates Learning in RL. NeurIPS Kuang-Huei Lee, Ian Fischer, Anthony Z. Liu, Yijie Guo, Honglak Lee, John F. Canny, Sergio Guadarrama
2020	J	`jnl`	Predictive Information Accelerates Learning in RL. CoRR Kuang-Huei Lee, Ian Fischer, Anthony Z. Liu, Yijie Guo, Honglak Lee, John F. Canny, Sergio Guadarrama
2020	J	`jnl`	VIB is Half Bayes. CoRR Alexander A. Alemi, Warren R. Morningstar, Ben Poole, Ian Fischer, Joshua V. Dillon
2019	J	`jnl`	Dueling Decoders: Regularizing Variational Autoencoder Latent Spaces. CoRR Bryan Seybold, Emily Fertig, Alex Alemi, Ian Fischer
2019	J	`jnl`	Information-Bottleneck Approach to Salient Region Discovery. CoRR Andrey Zhmoginov, Ian Fischer, Mark Sandler
2019	A*	`conf`	Learning Latent Dynamics for Planning from Pixels. ICML Danijar Hafner, Timothy P. Lillicrap, Ian Fischer, Ruben Villegas, David Ha, Honglak Lee, James Davidson
2018	—	`conf`	Adversarial Examples for Generative Models. IEEE Symposium on Security and Privacy Workshops Jernej Kos, Ian Fischer, Dawn Song
2018	A*	`conf`	Fixing a Broken ELBO. ICML Alexander A. Alemi, Ben Poole, Ian Fischer, Joshua V. Dillon, Rif A. Saurous, Kevin Murphy
2018	—	`conf`	GILBO: One Metric to Measure Them All. ICLR (Workshop) Alexander A. Alemi, Ian Fischer
2018	A*	`conf`	GILBO: One Metric to Measure Them All. NeurIPS Alexander A. Alemi, Ian Fischer
2018	J	`jnl`	GILBO: One Metric to Measure Them All. CoRR Alexander A. Alemi, Ian Fischer
2018	—	`conf`	Generative Models of Visually Grounded Imagination. ICLR (Poster) Ramakrishna Vedantam, Ian Fischer, Jonathan Huang, Kevin Murphy
2018	J	`jnl`	Learning Latent Dynamics for Planning from Pixels. CoRR Danijar Hafner, Timothy P. Lillicrap, Ian Fischer, Ruben Villegas, David Ha, Honglak Lee, James Davidson
2018	A*	`conf`	Learning to Attack: Adversarial Transformation Networks. AAAI Shumeet Baluja, Ian Fischer
2018	J	`jnl`	TherML: Thermodynamics of Machine Learning. CoRR Alexander A. Alemi, Ian Fischer
2018	J	`jnl`	Uncertainty in the Variational Information Bottleneck. CoRR Alexander A. Alemi, Ian Fischer, Joshua V. Dillon
2017	J	`jnl`	Adversarial Transformation Networks: Learning to Generate Adversarial Examples. CoRR Shumeet Baluja, Ian Fischer
2017	J	`jnl`	Adversarial examples for generative models. CoRR Jernej Kos, Ian Fischer, Dawn Song
2017	J	`jnl`	An Information-Theoretic Analysis of Deep Latent-Variable Models. CoRR Alexander A. Alemi, Ben Poole, Ian Fischer, Joshua V. Dillon, Rif A. Saurous, Kevin Murphy
2017	—	`conf`	Deep Variational Information Bottleneck. ICLR (Poster) Alexander A. Alemi, Ian Fischer, Joshua V. Dillon, Kevin Murphy
2017	J	`jnl`	Generative Models of Visually Grounded Imagination. CoRR Ramakrishna Vedantam, Ian Fischer, Jonathan Huang, Kevin Murphy
2017	A*	`conf`	Speed/Accuracy Trade-Offs for Modern Convolutional Object Detectors. CVPR Jonathan Huang, Vivek Rathod, Chen Sun, Menglong Zhu, Anoop Korattikara, Alireza Fathi, Ian Fischer, Zbigniew Wojna, Yang Song, Sergio Guadarrama, Kevin Murphy
2016	J	`jnl`	Deep Variational Information Bottleneck. CoRR Alexander A. Alemi, Ian Fischer, Joshua V. Dillon, Kevin Murphy
2016	J	`jnl`	Speed/accuracy trade-offs for modern convolutional object detectors. CoRR Jonathan Huang, Vivek Rathod, Chen Sun, Menglong Zhu, Anoop Korattikara, Alireza Fathi, Ian Fischer, Zbigniew Wojna, Yang Song, Sergio Guadarrama, Kevin Murphy
2012	J	`jnl`	Cloud Data Protection for the Masses. Computer Dawn Song, Elaine Shi, Ian Fischer, Umesh Shankar
2007	—	`conf`	The Emperor's New Security Indicators. S&P Stuart E. Schechter, Rachna Dhamija, Andy Ozment, Ian Fischer
2006	—	`conf`	Computing Depth Contours with Graphics Hardware. CCCG Craig Gotsman, Ian Fischer
2006	J	`jnl`	Fast Approximation of High-Order Voronoi Diagrams and Distance Transforms on the GPU. J. Graph. Tools Ian Fischer, Craig Gotsman