Xaq Pitkow

Publication Activity (10 Years)

Years Active: 2011-2024
Publications (10 Years): 32

Top Topics

Variational Inference

Top Venues

PLoS Comput. Biol.

Publications

Kandan Ramakrishnan, R. James Cotton, Xaq Pitkow, Andreas S. Tolias
Generalization properties of contrastive world models. CoRR (2024)
Itzel Olivos-Castillo, Paul Schrater, Xaq Pitkow
Control when confidence is costly. CoRR (2024)
Zhe Li, Josue Ortega Caro, Evgenia Rusak, Wieland Brendel, Matthias Bethge, Fabio Anselmi, Ankit B. Patel, Andreas S. Tolias, Xaq Pitkow
Robust deep learning object recognition models rely on low frequency information in natural images. PLoS Comput. Biol. 19 (3) (2023)
Rajkumar Vasudeva Raju, Zhe Li, Scott Linderman, Xaq Pitkow
Inferring Inference. CoRR (2023)
Juhyeon Kim, A. Emin Orhan, KiJung Yoon, Xaq Pitkow
Two-Argument Activation Functions Learn Soft XOR Operations Like Cortical Neurons. IEEE Access 10 (2022)
Zhe Li, Andreas S. Tolias, Xaq Pitkow
Learning Dynamics and Structure of Complex Systems Using Graph Neural Networks. CoRR (2022)
Lokesh Boominathan, Xaq Pitkow
Phase transitions in when feedback is useful. NeurIPS (2022)
Nikos Karantzas, Emma Besier, Josue Ortega Caro, Xaq Pitkow, Andreas S. Tolias, Ankit B. Patel, Fabio Anselmi
Understanding robustness and generalization of artificial neural networks through Fourier masks. CoRR (2022)
Richard D. Lange, Ari S. Benjamin, Ralf M. Haefner, Xaq Pitkow
Interpolating between sampling and variational inference with infinite stochastic mixtures. UAI (2022)
Nikos Karantzas, Emma Besier, Josue Ortega Caro, Xaq Pitkow, Andreas S. Tolias, Ankit B. Patel, Fabio Anselmi
Understanding Robustness and Generalization of Artificial Neural Networks Through Fourier Masks. Frontiers Artif. Intell. 5 (2022)
Shell Xu Hu, Md Rifat Arefin, Viet-Nhat Nguyen, Alish Dipani, Xaq Pitkow, Andreas Savas Tolias
AvaTr: One-Shot Speaker Extraction with Transformers. Interspeech (2021)
KiJung Yoon, A. Emin Orhan, Juhyun Kim, Xaq Pitkow
Two-argument activation functions learn soft XOR operations like cortical neurons. CoRR (2021)
Shell Xu Hu, Md Rifat Arefin, Viet-Nhat Nguyen, Alish Dipani, Xaq Pitkow, Andreas Savas Tolias
AvaTr: One-Shot Speaker Extraction with Transformers. CoRR (2021)
Richard D. Lange, Ari Benjamin, Ralf M. Haefner, Xaq Pitkow
Interpolating between sampling and variational inference with infinite stochastic mixtures. CoRR (2021)
Yicheng Fei, Xaq Pitkow
Generalization of graph network inferences in higher-order probabilistic graphical models. CoRR (2021)
Minhae Kwon, Saurabh Daptardar, Paul R. Schrater, Xaq Pitkow
Inverse Rational Control with Partially Observable Continuous Nonlinear Dynamics. CoRR (2020)
Mengye Ren, Eleni Triantafillou, Kuan-Chieh Wang, James Lucas, Jake Snell, Xaq Pitkow, Andreas S. Tolias, Richard S. Zemel
Flexible Few-Shot Learning with Contextual Similarity. CoRR (2020)
A. Emin Orhan, Xaq Pitkow
Improved memory in recurrent neural networks with sequential non-normal dynamics. ICLR (2020)
Arun Kumar, Zhengwei Wu, Xaq Pitkow, Paul R. Schrater
Belief dynamics extraction. CogSci (2019)
Zhe Li, Wieland Brendel, Edgar Y. Walker, Erick Cobos, Taliah Muhammad, Jacob Reimer, Matthias Bethge, Fabian H. Sinz, Xaq Pitkow, Andreas S. Tolias
Learning From Brains How to Regularize Machines. CoRR (2019)
Saurabh Daptardar, Paul R. Schrater, Xaq Pitkow
Inverse Rational Control with Partially Observable Continuous Nonlinear Dynamics. CoRR (2019)
A. Emin Orhan, Xaq Pitkow
Improved memory in recurrent neural networks with sequential non-normal dynamics. CoRR (2019)
KiJung Yoon, Renjie Liao, Yuwen Xiong, Lisa Zhang, Ethan Fetaya, Raquel Urtasun, Richard S. Zemel, Xaq Pitkow
Inference in Probabilistic Graphical Models by Graph Neural Networks. ACSSC (2019)
Arun Kumar, Zhengwei Wu, Xaq Pitkow, Paul R. Schrater
Belief dynamics extraction. CoRR (2019)
KiJung Yoon, Renjie Liao, Yuwen Xiong, Lisa Zhang, Ethan Fetaya, Raquel Urtasun, Richard S. Zemel, Xaq Pitkow
Inference in probabilistic graphical models by Graph Neural Networks. ICLR (Workshop) (2018)
Kaushik J. Lakshminarasimhan, Alexandre Pouget, Gregory C. DeAngelis, Dora E. Angelaki, Xaq Pitkow
Inferring decoding strategies for multiple correlated neural populations. PLoS Comput. Biol. 14 (9) (2018)
Zhengwei Wu, Paul R. Schrater, Xaq Pitkow
Inverse POMDP: Inferring What You Think from What You Do. CoRR (2018)
KiJung Yoon, Renjie Liao, Yuwen Xiong, Lisa Zhang, Ethan Fetaya, Raquel Urtasun, Richard S. Zemel, Xaq Pitkow
Inference in Probabilistic Graphical Models by Graph Neural Networks. CoRR (2018)
Renjie Liao, Yuwen Xiong, Ethan Fetaya, Lisa Zhang, KiJung Yoon, Xaq Pitkow, Raquel Urtasun, Richard S. Zemel
Reviving and Improving Recurrent Back-Propagation. ICML (2018)
Renjie Liao, Yuwen Xiong, Ethan Fetaya, Lisa Zhang, KiJung Yoon, Xaq Pitkow, Raquel Urtasun, Richard S. Zemel
Reviving and Improving Recurrent Back-Propagation. CoRR (2018)
A. Emin Orhan, Xaq Pitkow
Skip Connections Eliminate Singularities. ICLR (Poster) (2018)
Rajkumar Vasudeva Raju, Xaq Pitkow
Inference by Reparameterization in Neural Population Codes. NIPS (2016)
Xaq Pitkow
Compressive neural representation of sparse, high-dimensional probabilities CoRR (2012)
Xaq Pitkow
"Compressive neural representation of sparse, high-dimensional probabilities". NIPS (2012)
Xaq Pitkow, Yashar Ahmadian, Kenneth D. Miller
Learning unbelievable probabilities. NIPS (2011)
Xaq Pitkow, Yashar Ahmadian, Kenneth D. Miller
Learning unbelievable marginal probabilities CoRR (2011)