Learning unbelievable probabilities. - Xaq Pitkow; Yashar Ahmadian; Kenneth D. Miller (NIPS, 2011)

Learning unbelievable marginal probabilities - Xaq Pitkow; Yashar Ahmadian; Kenneth D. Miller (CoRR, 2011)

"Compressive neural representation of sparse, high-dimensional probabilities". - Xaq Pitkow (NIPS, 2012)

Inference by Reparameterization in Neural Population Codes. - Rajkumar Vasudeva Raju; Xaq Pitkow (NIPS, 2016)

Skip Connections Eliminate Singularities. - A. Emin Orhan; Xaq Pitkow (ICLR (Poster), 2018)

Inference in probabilistic graphical models by Graph Neural Networks. - KiJung Yoon; Renjie Liao; Yuwen Xiong; Lisa Zhang; Ethan Fetaya; Raquel Urtasun; Richard S. Zemel; Xaq Pitkow (ICLR (Workshop), 2018)

Reviving and Improving Recurrent Back-Propagation. - Renjie Liao; Yuwen Xiong; Ethan Fetaya; Lisa Zhang; KiJung Yoon; Xaq Pitkow; Raquel Urtasun; Richard S. Zemel (ICML, 2018)

Stimulus domain transfer in recurrent models for large scale cortical population prediction on video. - 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 (NeurIPS, 2018)

Inverse POMDP: Inferring What You Think from What You Do. - Zhengwei Wu; Paul R. Schrater; Xaq Pitkow (CoRR, 2018)

Inferring decoding strategies for multiple correlated neural populations. - Kaushik J. Lakshminarasimhan; Alexandre Pouget; Gregory C. DeAngelis; Dora E. Angelaki; Xaq Pitkow (PLoS Comput. Biol., 2018)

Belief dynamics extraction. - Arun Kumar 009; Zhengwei Wu; Xaq Pitkow; Paul R. Schrater (CogSci, 2019)

Learning from brains how to regularize machines. - Zhe Li 002; Wieland Brendel; Edgar Y. Walker; Erick Cobos; Taliah Muhammad; Jacob Reimer; Matthias Bethge; Fabian H. Sinz; Xaq Pitkow; Andreas S. Tolias (NeurIPS, 2019)

Inverse Rational Control with Partially Observable Continuous Nonlinear Dynamics. - Saurabh Daptardar; Paul R. Schrater; Xaq Pitkow (CoRR, 2019)

Improved memory in recurrent neural networks with sequential non-normal dynamics. - A. Emin Orhan; Xaq Pitkow (ICLR, 2020)

Inverse Rational Control with Partially Observable Continuous Nonlinear Dynamics. - Minhae Kwon; Saurabh Daptardar; Paul R. Schrater; Xaq Pitkow (NeurIPS, 2020)

Flexible Few-Shot Learning with Contextual Similarity. - Mengye Ren; Eleni Triantafillou; Kuan-Chieh Wang; James Lucas; Jake Snell; Xaq Pitkow; Andreas S. Tolias; Richard S. Zemel (CoRR, 2020)

AvaTr: One-Shot Speaker Extraction with Transformers. - Shell Xu Hu; Md Rifat Arefin; Viet-Nhat Nguyen; Alish Dipani; Xaq Pitkow; Andreas Savas Tolias (Interspeech, 2021)

Generalization of graph network inferences in higher-order probabilistic graphical models. - Yicheng Fei; Xaq Pitkow (CoRR, 2021)

Two-argument activation functions learn soft XOR operations like cortical neurons. - KiJung Yoon; A. Emin Orhan; Juhyun Kim; Xaq Pitkow (CoRR, 2021)

Phase transitions in when feedback is useful. - Lokesh Boominathan; Xaq Pitkow (NeurIPS, 2022)

Interpolating between sampling and variational inference with infinite stochastic mixtures. - Richard D. Lange; Ari S. Benjamin; Ralf M. Haefner; Xaq Pitkow (UAI, 2022)

Two-Argument Activation Functions Learn Soft XOR Operations Like Cortical Neurons. - Juhyeon Kim; A. Emin Orhan; KiJung Yoon; Xaq Pitkow (IEEE Access, 2022)

Learning Dynamics and Structure of Complex Systems Using Graph Neural Networks. - Zhe Li 002; Andreas S. Tolias; Xaq Pitkow (CoRR, 2022)

Understanding Robustness and Generalization of Artificial Neural Networks Through Fourier Masks. - Nikos Karantzas; Emma Besier; Josue Ortega Caro; Xaq Pitkow; Andreas S. Tolias; Ankit B. Patel; Fabio Anselmi (Frontiers Artif. Intell., 2022)

Inferring Inference. - Rajkumar Vasudeva Raju; Zhe Li 002; Scott Linderman; Xaq Pitkow (CoRR, 2023)

Robust deep learning object recognition models rely on low frequency information in natural images. - Zhe Li 002; Josue Ortega Caro; Evgenia Rusak; Wieland Brendel; Matthias Bethge; Fabio Anselmi; Ankit B. Patel; Andreas S. Tolias; Xaq Pitkow (PLoS Comput. Biol., 2023)

Generalization properties of contrastive world models. - Kandan Ramakrishnan; R. James Cotton; Xaq Pitkow; Andreas S. Tolias (CoRR, 2024)

Control when confidence is costly. - Itzel Olivos-Castillo; Paul Schrater; Xaq Pitkow (CoRR, 2024)

How does the brain compute with probabilities? - Ralf M. Haefner; Jeffrey M. Beck; Cristina Savin; Mehrdad Salmasi; Xaq Pitkow (CoRR, 2024)

Generalization of graph network inferences in higher-order graphical models. - Yicheng Fei; Xaq Pitkow (J. Appl. Comput. Topol., 2024)

Attention when you need. - Lokesh Boominathan; Yizhou Chen; Matthew McGinley; Xaq Pitkow (CoRR, 2025)

Autonomous Behavior and Whole-Brain Dynamics Emerge in Embodied Zebrafish Agents with Model-based Intrinsic Motivation. - Reece Keller; Alyn Tornell; Felix Pei; Xaq Pitkow; Leo Kozachkov; Aran Nayebi (CoRR, 2025)