Xaq Pitkow

44 papers A* 6A 2B 1Misc 1Journal 29Unranked 5
YearRankTypeTitle / Venue / Authors
2026 J jnl
Cognitive Models and AI Algorithms Provide Templates for Designing Language Agents.
CoRR
Ryan Liu, Dilip Arumugam, Cedegao E. Zhang, Sean Escola, Xaq Pitkow, Thomas L. Griffiths
2025 J jnl
Attention when you need.
CoRR
Lokesh Boominathan, Yizhou Chen, Matthew McGinley, Xaq Pitkow
2025 J jnl
Autonomous Behavior and Whole-Brain Dynamics Emerge in Embodied Zebrafish Agents with Model-based Intrinsic Motivation.
CoRR
Reece Keller, Alyn Tornell, Felix Pei, Xaq Pitkow, Leo Kozachkov, Aran Nayebi
2024 J jnl
Control when confidence is costly.
CoRR
Itzel Olivos-Castillo, Paul Schrater, Xaq Pitkow
2024 J jnl
Generalization of graph network inferences in higher-order graphical models.
J. Appl. Comput. Topol.
Yicheng Fei, Xaq Pitkow
2024 J jnl
Generalization properties of contrastive world models.
CoRR
Kandan Ramakrishnan, R. James Cotton, Xaq Pitkow, Andreas S. Tolias
2024 J jnl
How does the brain compute with probabilities?
CoRR
Ralf M. Haefner, Jeffrey M. Beck, Cristina Savin, Mehrdad Salmasi, Xaq Pitkow
2023 J jnl
Inferring Inference.
CoRR
Rajkumar Vasudeva Raju, Zhe Li, Scott Linderman, Xaq Pitkow
2023 J jnl
Robust deep learning object recognition models rely on low frequency information in natural images.
PLoS Comput. Biol.
Zhe Li, Josue Ortega Caro, Evgenia Rusak, Wieland Brendel, Matthias Bethge, Fabio Anselmi, Ankit B. Patel, Andreas S. Tolias, Xaq Pitkow
2022 A conf
Interpolating between sampling and variational inference with infinite stochastic mixtures.
UAI
Richard D. Lange, Ari S. Benjamin, Ralf M. Haefner, Xaq Pitkow
2022 J jnl
Learning Dynamics and Structure of Complex Systems Using Graph Neural Networks.
CoRR
Zhe Li, Andreas S. Tolias, Xaq Pitkow
2022 A* conf
Phase transitions in when feedback is useful.
NeurIPS
Lokesh Boominathan, Xaq Pitkow
2022 J jnl
Two-Argument Activation Functions Learn Soft XOR Operations Like Cortical Neurons.
IEEE Access
Juhyeon Kim, A. Emin Orhan, KiJung Yoon, Xaq Pitkow
2022 J jnl
Understanding Robustness and Generalization of Artificial Neural Networks Through Fourier Masks.
Frontiers Artif. Intell.
Nikos Karantzas, Emma Besier, Josue Ortega Caro, Xaq Pitkow, Andreas S. Tolias, Ankit B. Patel, Fabio Anselmi
2022 J jnl
Understanding robustness and generalization of artificial neural networks through Fourier masks.
CoRR
Nikos Karantzas, Emma Besier, Josue Ortega Caro, Xaq Pitkow, Andreas S. Tolias, Ankit B. Patel, Fabio Anselmi
2021 A conf
AvaTr: One-Shot Speaker Extraction with Transformers.
Interspeech
Shell Xu Hu, Md Rifat Arefin, Viet-Nhat Nguyen, Alish Dipani, Xaq Pitkow, Andreas Savas Tolias
2021 J jnl
AvaTr: One-Shot Speaker Extraction with Transformers.
CoRR
Shell Xu Hu, Md Rifat Arefin, Viet-Nhat Nguyen, Alish Dipani, Xaq Pitkow, Andreas Savas Tolias
2021 J jnl
Generalization of graph network inferences in higher-order probabilistic graphical models.
CoRR
Yicheng Fei, Xaq Pitkow
2021 J jnl
Interpolating between sampling and variational inference with infinite stochastic mixtures.
CoRR
Richard D. Lange, Ari S. Benjamin, Ralf M. Haefner, Xaq Pitkow
2021 J jnl
Two-argument activation functions learn soft XOR operations like cortical neurons.
CoRR
KiJung Yoon, A. Emin Orhan, Juhyun Kim, Xaq Pitkow
2020 J jnl
Flexible Few-Shot Learning with Contextual Similarity.
CoRR
Mengye Ren, Eleni Triantafillou, Kuan-Chieh Wang, James Lucas, Jake Snell, Xaq Pitkow, Andreas S. Tolias, Richard S. Zemel
2020 A* conf
Improved memory in recurrent neural networks with sequential non-normal dynamics.
ICLR
A. Emin Orhan, Xaq Pitkow
2020 A* conf
Inverse Rational Control with Partially Observable Continuous Nonlinear Dynamics.
NeurIPS
Minhae Kwon, Saurabh Daptardar, Paul R. Schrater, Xaq Pitkow
2020 J jnl
Inverse Rational Control with Partially Observable Continuous Nonlinear Dynamics.
CoRR
Minhae Kwon, Saurabh Daptardar, Paul R. Schrater, Xaq Pitkow
2019 B conf
Belief dynamics extraction.
CogSci
Arun Kumar, Zhengwei Wu, Xaq Pitkow, Paul R. Schrater
2019 J jnl
Belief dynamics extraction.
CoRR
Arun Kumar, Zhengwei Wu, Xaq Pitkow, Paul R. Schrater
2019 J jnl
Improved memory in recurrent neural networks with sequential non-normal dynamics.
CoRR
A. Emin Orhan, Xaq Pitkow
2019 Misc conf
Inference in Probabilistic Graphical Models by Graph Neural Networks.
ACSSC
KiJung Yoon, Renjie Liao, Yuwen Xiong, Lisa Zhang, Ethan Fetaya, Raquel Urtasun, Richard S. Zemel, Xaq Pitkow
2019 J jnl
Inverse Rational Control with Partially Observable Continuous Nonlinear Dynamics.
CoRR
Saurabh Daptardar, Paul R. Schrater, Xaq Pitkow
2019 J jnl
Learning From Brains How to Regularize Machines.
CoRR
Zhe Li, Wieland Brendel, Edgar Y. Walker, Erick Cobos, Taliah Muhammad, Jacob Reimer, Matthias Bethge, Fabian H. Sinz, Xaq Pitkow, Andreas S. Tolias
2019 A* conf
Learning from brains how to regularize machines.
NeurIPS
Zhe Li, Wieland Brendel, Edgar Y. Walker, Erick Cobos, Taliah Muhammad, Jacob Reimer, Matthias Bethge, Fabian H. Sinz, Xaq Pitkow, Andreas S. Tolias
2018 J jnl
Inference in Probabilistic Graphical Models by Graph Neural Networks.
CoRR
KiJung Yoon, Renjie Liao, Yuwen Xiong, Lisa Zhang, Ethan Fetaya, Raquel Urtasun, Richard S. Zemel, Xaq Pitkow
2018 — conf
Inference in probabilistic graphical models by Graph Neural Networks.
ICLR (Workshop)
KiJung Yoon, Renjie Liao, Yuwen Xiong, Lisa Zhang, Ethan Fetaya, Raquel Urtasun, Richard S. Zemel, Xaq Pitkow
2018 J jnl
Inferring decoding strategies for multiple correlated neural populations.
PLoS Comput. Biol.
Kaushik J. Lakshminarasimhan, Alexandre Pouget, Gregory C. DeAngelis, Dora E. Angelaki, Xaq Pitkow
2018 J jnl
Inverse POMDP: Inferring What You Think from What You Do.
CoRR
Zhengwei Wu, Paul R. Schrater, Xaq Pitkow
2018 A* conf
Reviving and Improving Recurrent Back-Propagation.
ICML
Renjie Liao, Yuwen Xiong, Ethan Fetaya, Lisa Zhang, KiJung Yoon, Xaq Pitkow, Raquel Urtasun, Richard S. Zemel
2018 J jnl
Reviving and Improving Recurrent Back-Propagation.
CoRR
Renjie Liao, Yuwen Xiong, Ethan Fetaya, Lisa Zhang, KiJung Yoon, Xaq Pitkow, Raquel Urtasun, Richard S. Zemel
2018 — conf
Skip Connections Eliminate Singularities.
ICLR (Poster)
A. Emin Orhan, Xaq Pitkow
2018 A* conf
Stimulus domain transfer in recurrent models for large scale cortical population prediction on video.
NeurIPS
Fabian H. Sinz, Alexander S. Ecker, Paul G. Fahey, Edgar Y. Walker, Erick Cobos, Emmanouil Froudarakis, Dimitri Yatsenko, Xaq Pitkow, Jacob Reimer, Andreas S. Tolias
2016 — conf
Inference by Reparameterization in Neural Population Codes.
NIPS
Rajkumar Vasudeva Raju, Xaq Pitkow
2012 — conf
"Compressive neural representation of sparse, high-dimensional probabilities".
NIPS
Xaq Pitkow
2012 J jnl
Compressive neural representation of sparse, high-dimensional probabilities
CoRR
Xaq Pitkow
2011 J jnl
Learning unbelievable marginal probabilities
CoRR
Xaq Pitkow, Yashar Ahmadian, Kenneth D. Miller
2011 — conf
Learning unbelievable probabilities.
NIPS
Xaq Pitkow, Yashar Ahmadian, Kenneth D. Miller