IF

Ian Fischer

0000-0003-3886-5619

cs.LGstat.MLcs.AIcs.ITmath.ITcs.CVcs.ROinformation bottleneckcs.CRcs.NE

On Valency

published · living versions

Speed/accuracy trade-offs for modern convolutional object detectors

with Jonathan Huang, Vivek Rathod, Chen Sun, Menglong Zhu +6

1 version

W_bbtampfmv1 · current

Preprints & journals

26 papers in the corpus · 2016–2025

Adversarial Distilled Retrieval-Augmented Guarding Model for Online Malicious Intent Detection

Yihao Guo, Haocheng Bian, Liutong Zhou et al.

0 citations

2509.14622v32025arXiv

Evolving Deeper LLM Thinking

Kuang-Huei Lee, Ian Fischer, Yueh-Hua Wu et al.

2 citations

2501.09891v12025arXiv

Weighted Ensemble Self-Supervised Learning

Yangjun Ruan, Saurabh Singh, Warren Morningstar et al.

7 citations

2211.09981v32022arXiv

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

Kuang-Huei Lee, Ted Xiao, Adrian Li et al.

5 citations

2210.08217v22022arXiv

Deep Hierarchical Planning from Pixels

Danijar Hafner, Kuang-Huei Lee, Ian Fischer et al.

28 citations

2206.04114v12022arXiv

An Empirical Investigation of Representation Learning for Imitation

Xin Chen, Sam Toyer, Cody Wild et al.

7 citations

2205.07886v12022arXiv

Compressive Visual Representations

Kuang-Huei Lee, Anurag Arnab, Sergio Guadarrama et al.

13 citations

2109.12909v32021arXiv

VIB is Half Bayes

Alexander A Alemi, Warren R Morningstar, Ben Poole et al.

0 citations

2011.08711v12020arXiv

A Comparison of Variational Bounds for the Information Bottleneck Functional.

Geiger, Bernhard C, Fischer, Ian S

7 citations

332869972021Entropy (Basel, Switzerland). 2020;22(11)

The Conditional Entropy Bottleneck.

Fischer, Ian

96 citations

332867682020Entropy (Basel, Switzerland). 2020;22(9)

Cycles in Causal Learning

Katie Everett, Ian Fischer

0 citations

2007.12335v12020arXiv

Predictive Information Accelerates Learning in RL

Kuang-Huei Lee, Ian Fischer, Anthony Liu et al.

37 citations

2007.12401v22020arXiv

An Unsupervised Information-Theoretic Perceptual Quality Metric

Sangnie Bhardwaj, Ian Fischer, Johannes Ball'e et al.

15 citations

2006.06752v32020arXiv

Phase Transitions for the Information Bottleneck in Representation Learning

Tailin Wu, Ian Fischer

19 citations

2001.01878v12020arXiv

Information-Bottleneck Approach to Salient Region Discovery

Andrey Zhmoginov, Ian Fischer, Mark Sandler

23 citations

1907.09578v22019arXiv

Learnability for the Information Bottleneck

Tailin Wu, Ian Fischer, Isaac L. Chuang et al.

31 citations

1907.07331v12019arXiv

Dueling Decoders: Regularizing Variational Autoencoder Latent Spaces

Bryan Seybold, Emily Fertig, Alex Alemi et al.

3 citations

1905.07478v12019arXiv

Learning Latent Dynamics for Planning from Pixels

Danijar Hafner, Timothy Lillicrap, Ian Fischer et al.

707 citations

1811.04551v52018arXiv

Uncertainty in the Variational Information Bottleneck

Alexander A. Alemi, Ian Fischer, Joshua V. Dillon

60 citations

1807.00906v12018arXiv

GILBO: One Metric to Measure Them All

Alexander A. Alemi, Ian Fischer

2 citations

1802.04874v32018arXiv

Fixing a Broken ELBO

Alexander A. Alemi, Ben Poole, Ian Fischer et al.

138 citations

1711.00464v32017arXiv

Generative Models of Visually Grounded Imagination

Ramakrishna Vedantam, Ian Fischer, Jonathan Huang et al.

81 citations

1705.10762v82017arXiv

Adversarial Transformation Networks: Learning to Generate Adversarial Examples

Shumeet Baluja, Ian Fischer

196 citations

1703.09387v12017arXiv

Adversarial examples for generative models

Jernej Kos, Ian Fischer, Dawn Song

248 citations

1702.06832v12017arXiv

Deep Variational Information Bottleneck

Alexander A. Alemi, Ian Fischer, Joshua V. Dillon et al.

1,050 citations

1612.00410v72016Proceedings of the International Conference on Learning Representations (ICLR) 2017

Speed/accuracy trade-offs for modern convolutional object detectors

Jonathan Huang, Vivek Rathod, Chen Sun et al.

2,741 citations

1611.10012v32016arXiv

Career total: 32 works. 26 are in this corpus.

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