Brian Cheung

Kartik Chandra

Jonathan Ragan-Kelley

Joshua B. Tenenbaum

Tomaso A. Poggio

Stella X. Yu

CoRR, 2023

Compact and Optimal Deep Learning with Recurrent Parameter Generators.

[BibT_eX]

[DOI]

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2023

Straightening Out the Straight-Through Estimator: Overcoming Optimization Challenges in Vector Quantized Networks.

[BibT_eX]

[DOI]

Proceedings of the International Conference on Machine Learning, 2023

System Identification of Neural Systems: If We Got It Right, Would We Know?

[BibT_eX]

[DOI]

Yena Han

Tomaso A. Poggio

Proceedings of the International Conference on Machine Learning, 2023

Meta-Learning and Self-Supervised Pretraining for Storm Event Imagery Translation.

[BibT_eX]

[DOI]

Proceedings of the IEEE High Performance Extreme Computing Conference, 2023

2022

Equivariant Self-Supervised Learning: Encouraging Equivariance in Representations.

[BibT_eX]

[DOI]

Proceedings of the Tenth International Conference on Learning Representations, 2022

2021

Meta-Learning and Self-Supervised Pretraining for Real World Image Translation.

[BibT_eX]

[DOI]

CoRR, 2021

Equivariant Contrastive Learning.

[BibT_eX]

[DOI]

CoRR, 2021

Recurrent Parameter Generators.

[BibT_eX]

[DOI]

CoRR, 2021

Adapting Deep Learning Models to New Meteorological Contexts Using Transfer Learning.

[BibT_eX]

[DOI]

Proceedings of the 2021 IEEE International Conference on Big Data (Big Data), 2021

2020

Cautious Adaptation For Reinforcement Learning in Safety-Critical Settings.

[BibT_eX]

[DOI]

Proceedings of the 37th International Conference on Machine Learning, 2020

2019

Word Embedding Visualization Via Dictionary Learning.

[BibT_eX]

[DOI]

CoRR, 2019

Superposition of many models into one.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

Meta-Learning Update Rules for Unsupervised Representation Learning.

[BibT_eX]

[DOI]

Luke Metz

Niru Maheswaranathan

Proceedings of the 7th International Conference on Learning Representations, 2019

2018

Detecting stable individual differences in the functional organization of the human basal ganglia.

[BibT_eX]

[DOI]

Francisco X. Castellanos

Michael P. Milham

NeuroImage, 2018

Learning Unsupervised Learning Rules.

[BibT_eX]

[DOI]

Luke Metz

Niru Maheswaranathan

CoRR, 2018

Convolutional vs. Recurrent Neural Networks for Audio Source Separation.

[BibT_eX]

[DOI]

Shariq Mobin

Bruno A. Olshausen

CoRR, 2018

Adversarial Examples that Fool both Human and Computer Vision.

[BibT_eX]

[DOI]

Gamaleldin F. Elsayed

CoRR, 2018

Adversarial Examples that Fool both Computer Vision and Time-Limited Humans.

[BibT_eX]

[DOI]

Gamaleldin F. Elsayed

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

Learning to Learn Without Labels.

[BibT_eX]

[DOI]

Luke Metz

Niru Maheswaranathan

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

Probabilistic Multi Hypothesis Tracker for an Event Based Sensor.

[BibT_eX]

[DOI]

Proceedings of the 21st International Conference on Information Fusion, 2018

2017

Emergence of foveal image sampling from learning to attend in visual scenes.

[BibT_eX]

[DOI]

Eric Weiss

Bruno A. Olshausen

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

2015

Discovering Hidden Factors of Variation in Deep Networks.

[BibT_eX]

[DOI]

Proceedings of the 3rd International Conference on Learning Representations, 2015

A Linear Complexity Approximate Method for Multi-Target Particle Filter Track before Detect.

[BibT_eX]

[DOI]

Proceedings of the 2015 International Conference on Digital Image Computing: Techniques and Applications, 2015

Track before Detect for Space Situation Awareness.

[BibT_eX]

[DOI]

Proceedings of the 2015 International Conference on Digital Image Computing: Techniques and Applications, 2015

2014

PMHT with timing uncertainty.

[BibT_eX]

[DOI]

IEEE Trans. Aerosp. Electron. Syst., 2014

2013

A comprehensive assessment of regional variation in the impact of head micromovements on functional connectomics.

[BibT_eX]

[DOI]

F. Xavier Castellanos

Michael P. Milham

NeuroImage, 2013

Fast Simultaneous Training of Generalized Linear Models (FaSTGLZ).

[BibT_eX]

[DOI]

CoRR, 2013

2012

Using Phase to Improve Track-Before-Detect.

[BibT_eX]

[DOI]

Mark G. Rutten

IEEE Trans. Aerosp. Electron. Syst., 2012

Convolutional Neural Networks Applied to Human Face Classification.

[BibT_eX]

[DOI]

Proceedings of the 11th International Conference on Machine Learning and Applications, 2012

2011

Hybrid Evolution of Convolutional Networks.

[BibT_eX]

[DOI]

Carl Sable

Proceedings of the 10th International Conference on Machine Learning and Applications and Workshops, 2011

2010

Comparison of the PMHT path planning algorithm with the Genetic Algorithm for multiple platforms.

[BibT_eX]

[DOI]

Proceedings of the 13th Conference on Information Fusion, 2010

PMHT for tracking with timing uncertainty.

[BibT_eX]

[DOI]

Proceedings of the 13th Conference on Information Fusion, 2010

2009

Track-Before-Detect for sensors with complex measurements.

[BibT_eX]

[DOI]

Mark G. Rutten

Proceedings of the 12th International Conference on Information Fusion, 2009

Combining PMHT with classifications to perform SLAM.

[BibT_eX]

[DOI]

Proceedings of the 12th International Conference on Information Fusion, 2009

Hardware-Optimized Ziggurat Algorithm for High-Speed Gaussian Random Number Generators.

[BibT_eX]

Proceedings of the 2009 International Conference on Engineering of Reconfigurable Systems & Algorithms, 2009

2008

A Comparison of Detection Performance for Several Track-before-Detect Algorithms.

[BibT_eX]

[DOI]

Mark G. Rutten