Ian Fischer

Orcid: 0000-0003-3886-5619

According to our database¹, Ian Fischer authored at least 33 papers between 2006 and 2024.

Collaborative distances:

Dijkstra number² of four.
Erdős number³ of three.

Timeline

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In proceedings

Article

PhD thesis

Dataset

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Links

On csauthors.net:

Bibliography

2024

Stochastic Sampling from Deterministic Flow Models.

[BibT_eX]

[DOI]

Saurabh Singh

Ian Fischer

CoRR, 2024

A Human-Inspired Reading Agent with Gist Memory of Very Long Contexts.

[BibT_eX]

[DOI]

Proceedings of the Forty-first International Conference on Machine Learning, 2024

2023

Weighted Ensemble Self-Supervised Learning.

[BibT_eX]

[DOI]

Yangjun Ruan

Saurabh Singh

Warren Richard Morningstar

Proceedings of the Eleventh International Conference on Learning Representations, 2023

Sparsity-Inducing Categorical Prior Improves Robustness of the Information Bottleneck.

[BibT_eX]

[DOI]

Gustavo de los Campos

Ian Fischer

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2023

2022

An Empirical Investigation of Representation Learning for Imitation.

[BibT_eX]

[DOI]

CoRR, 2022

Multi-Game Decision Transformers.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Deep Hierarchical Planning from Pixels.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

PI-QT-Opt: Predictive Information Improves Multi-Task Robotic Reinforcement Learning at Scale.

[BibT_eX]

[DOI]

Proceedings of the Conference on Robot Learning, 2022

2021

Compressive Visual Representations.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

An Empirical Investigation of Representation Learning for Imitation.

[BibT_eX]

[DOI]

Proceedings of the Neural Information Processing Systems Track on Datasets and Benchmarks 1, 2021

2020

CEB Improves Model Robustness.

[BibT_eX]

[DOI]

Ian Fischer

Alexander A. Alemi

Entropy, 2020

VIB is Half Bayes.

[BibT_eX]

[DOI]

Alexander A. Alemi

Warren R. Morningstar

Ben Poole

Ian Fischer

Joshua V. Dillon

CoRR, 2020

Cycles in Causal Learning.

[BibT_eX]

[DOI]

Katie Everett

Ian Fischer

CoRR, 2020

Information-Bottleneck Approach to Salient Region Discovery.

[BibT_eX]

[DOI]

Andrey Zhmoginov

Ian Fischer

Mark Sandler

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2020

Predictive Information Accelerates Learning in RL.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

An Unsupervised Information-Theoretic Perceptual Quality Metric.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

2019

Dueling Decoders: Regularizing Variational Autoencoder Latent Spaces.

[BibT_eX]

[DOI]

CoRR, 2019

Learning Latent Dynamics for Planning from Pixels.

[BibT_eX]

[DOI]

Proceedings of the 36th International Conference on Machine Learning, 2019

2018

TherML: Thermodynamics of Machine Learning.

[BibT_eX]

[DOI]

Alexander A. Alemi

Ian Fischer

CoRR, 2018

Uncertainty in the Variational Information Bottleneck.

[BibT_eX]

[DOI]

Alexander A. Alemi

Ian Fischer

Joshua V. Dillon

CoRR, 2018

Adversarial Examples for Generative Models.

[BibT_eX]

[DOI]

Jernej Kos

Ian Fischer

Dawn Song

Proceedings of the 2018 IEEE Security and Privacy Workshops, 2018

GILBO: One Metric to Measure Them All.

[BibT_eX]

[DOI]

Alexander A. Alemi

Ian Fischer

Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018

Fixing a Broken ELBO.

[BibT_eX]

[DOI]

Proceedings of the 35th International Conference on Machine Learning, 2018

Generative Models of Visually Grounded Imagination.

[BibT_eX]

[DOI]

Proceedings of the 6th International Conference on Learning Representations, 2018

Learning to Attack: Adversarial Transformation Networks.

[BibT_eX]

[DOI]

Shumeet Baluja

Ian Fischer

Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018

2017

An Information-Theoretic Analysis of Deep Latent-Variable Models.

[BibT_eX]

[DOI]

CoRR, 2017

Adversarial Transformation Networks: Learning to Generate Adversarial Examples.

[BibT_eX]

[DOI]

Shumeet Baluja

Ian Fischer

CoRR, 2017

Deep Variational Information Bottleneck.

[BibT_eX]

[DOI]

Proceedings of the 5th International Conference on Learning Representations, 2017

Speed/Accuracy Trade-Offs for Modern Convolutional Object Detectors.

[BibT_eX]

[DOI]

Proceedings of the 2017 IEEE Conference on Computer Vision and Pattern Recognition, 2017

2012

Cloud Data Protection for the Masses.

[BibT_eX]

[DOI]

Computer, 2012

2007

The Emperor's New Security Indicators.

[BibT_eX]

[DOI]

Proceedings of the 2007 IEEE Symposium on Security and Privacy (S&P 2007), 2007

2006

Fast Approximation of High-Order Voronoi Diagrams and Distance Transforms on the GPU.

[BibT_eX]

[DOI]

Ian Fischer

Craig Gotsman

J. Graph. Tools, 2006

Computing Depth Contours with Graphics Hardware.

[BibT_eX]

[DOI]

Craig Gotsman

Ian Fischer

Proceedings of the 18th Annual Canadian Conference on Computational Geometry, 2006

Ian Fischer

Timeline

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