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We stand with Ukraine

Xaq Pitkow

Orcid: 0000-0001-6376-329X

Affiliations:

Rice University, Houston, TX, USA
University of Rochester, Department of Brain and Cognitive Sciences (former)

According to our database¹, Xaq Pitkow authored at least 26 papers between 2011 and 2024.

Collaborative distances:

Dijkstra number² of four.
Erdős number³ of three.

Timeline

Legend:

Book

In proceedings

Article

PhD thesis

Dataset

Other

Links

Online presence:

on orcid.org
on columbia.edu

On csauthors.net:

Bibliography

2024

Generalization properties of contrastive world models.

[BibT_eX]

[DOI]

Kandan Ramakrishnan

,

R. James Cotton

,

,

Andreas S. Tolias

CoRR, 2024

2023

Robust deep learning object recognition models rely on low frequency information in natural images.

[BibT_eX]

[DOI]

,

Josue Ortega Caro

,

,

Wieland Brendel

,

Matthias Bethge

,

,

,

Andreas S. Tolias

,

PLoS Comput. Biol., March, 2023

Inferring Inference.

[BibT_eX]

[DOI]

Rajkumar Vasudeva Raju

,

,

Scott Linderman

,

CoRR, 2023

2022

Understanding Robustness and Generalization of Artificial Neural Networks Through Fourier Masks.

[BibT_eX]

[DOI]

Nikos Karantzas

,

,

Josue Ortega Caro

,

,

Andreas S. Tolias

,

,

Frontiers Artif. Intell., 2022

Learning Dynamics and Structure of Complex Systems Using Graph Neural Networks.

[BibT_eX]

[DOI]

,

Andreas S. Tolias

,

CoRR, 2022

Two-Argument Activation Functions Learn Soft XOR Operations Like Cortical Neurons.

[BibT_eX]

[DOI]

,

,

,

IEEE Access, 2022

Interpolating between sampling and variational inference with infinite stochastic mixtures.

[BibT_eX]

[DOI]

Richard D. Lange

,

Ari S. Benjamin

,

Ralf M. Haefner

,

Proceedings of the Uncertainty in Artificial Intelligence, 2022

Phase transitions in when feedback is useful.

[BibT_eX]

[DOI]

Lokesh Boominathan

,

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

2021

Two-argument activation functions learn soft XOR operations like cortical neurons.

[BibT_eX]

[DOI]

,

,

,

CoRR, 2021

Generalization of graph network inferences in higher-order probabilistic graphical models.

[BibT_eX]

[DOI]

,

CoRR, 2021

AvaTr: One-Shot Speaker Extraction with Transformers.

[BibT_eX]

[DOI]

,

Md Rifat Arefin

,

Viet-Nhat Nguyen

,

,

,

Andreas Savas Tolias

Proceedings of the Interspeech 2021, 22nd Annual Conference of the International Speech Communication Association, Brno, Czechia, 30 August, 2021

2020

Flexible Few-Shot Learning with Contextual Similarity.

[BibT_eX]

[DOI]

,

Eleni Triantafillou

,

Kuan-Chieh Wang

,

,

,

,

Andreas S. Tolias

,

Richard S. Zemel

CoRR, 2020

Inverse Rational Control with Partially Observable Continuous Nonlinear Dynamics.

[BibT_eX]

[DOI]

,

Saurabh Daptardar

,

Paul R. Schrater

,

CoRR, 2020

Improved memory in recurrent neural networks with sequential non-normal dynamics.

[BibT_eX]

[DOI]

,

Proceedings of the 8th International Conference on Learning Representations, 2020

2019

Learning From Brains How to Regularize Machines.

[BibT_eX]

[DOI]

,

Wieland Brendel

,

Edgar Y. Walker

,

,

Taliah Muhammad

,

,

Matthias Bethge

,

,

,

Andreas S. Tolias

CoRR, 2019

Inverse Rational Control with Partially Observable Continuous Nonlinear Dynamics.

[BibT_eX]

[DOI]

Saurabh Daptardar

,

Paul R. Schrater

,

CoRR, 2019

Belief dynamics extraction.

[BibT_eX]

[DOI]

,

,

,

Paul R. Schrater

Proceedings of the 41th Annual Meeting of the Cognitive Science Society, 2019

Inference in Probabilistic Graphical Models by Graph Neural Networks.

[BibT_eX]

[DOI]

,

,

,

,

,

,

Richard S. Zemel

,

Proceedings of the 53rd Asilomar Conference on Signals, Systems, and Computers, 2019

2018

Inferring decoding strategies for multiple correlated neural populations.

[BibT_eX]

[DOI]

Kaushik J. Lakshminarasimhan

,

Alexandre Pouget

,

Gregory C. DeAngelis

,

Dora E. Angelaki

,

PLoS Comput. Biol., 2018

Inverse POMDP: Inferring What You Think from What You Do.

[BibT_eX]

[DOI]

,

Paul R. Schrater

,

CoRR, 2018

Reviving and Improving Recurrent Back-Propagation.

[BibT_eX]

[DOI]

,

,

,

,

,

,

,

Richard S. Zemel

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

Skip Connections Eliminate Singularities.

[BibT_eX]

[DOI]

,

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

2016

Inference by Reparameterization in Neural Population Codes.

[BibT_eX]

[DOI]

Rajkumar Vasudeva Raju

,

Proceedings of the Advances in Neural Information Processing Systems 29: Annual Conference on Neural Information Processing Systems 2016, 2016

2012

"Compressive neural representation of sparse, high-dimensional probabilities".

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 25: 26th Annual Conference on Neural Information Processing Systems 2012. Proceedings of a meeting held December 3-6, 2012

2011

Learning unbelievable marginal probabilities

[BibT_eX]

[DOI]

,

Yashar Ahmadian

,

Kenneth D. Miller

CoRR, 2011

Learning unbelievable probabilities.

[BibT_eX]

[DOI]

,

Yashar Ahmadian

,

Kenneth D. Miller

Proceedings of the Advances in Neural Information Processing Systems 24: 25th Annual Conference on Neural Information Processing Systems 2011. Proceedings of a meeting held 12-14 December 2011, 2011

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