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ORCIDXaq Pitkow
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- affiliation: Rice University, Houston, TX, USA
- affiliation (former): University of Rochester, Department of Brain and Cognitive Sciences
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2020 – today
- 2024
[j5]Yicheng Fei, Xaq Pitkow
:
Generalization of graph network inferences in higher-order graphical models. J. Appl. Comput. Topol. 8(5): 1231-1256 (2024)- [i21]Kandan Ramakrishnan, R. James Cotton, Xaq Pitkow, Andreas S. Tolias:
Generalization properties of contrastive world models. CoRR abs/2401.00057 (2024) - [i20]Itzel Olivos-Castillo, Paul Schrater, Xaq Pitkow:
Control when confidence is costly. CoRR abs/2406.14427 (2024) - [i19]Ralf M. Haefner, Jeffrey M. Beck, Cristina Savin, Mehrdad Salmasi, Xaq Pitkow:
How does the brain compute with probabilities? CoRR abs/2409.02709 (2024) - 2023
- [j4]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) - [i18]Rajkumar Vasudeva Raju, Zhe Li, Scott Linderman, Xaq Pitkow:
Inferring Inference. CoRR abs/2310.03186 (2023) - 2022
- [j3]Juhyeon Kim, A. Emin Orhan, KiJung Yoon, Xaq Pitkow:
Two-Argument Activation Functions Learn Soft XOR Operations Like Cortical Neurons. IEEE Access 10: 58071-58080 (2022) - [j2]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) - [c15]Lokesh Boominathan, Xaq Pitkow:
Phase transitions in when feedback is useful. NeurIPS 2022 - [c14]Richard D. Lange, Ari S. Benjamin, Ralf M. Haefner, Xaq Pitkow:
Interpolating between sampling and variational inference with infinite stochastic mixtures. UAI 2022: 1063-1073 - [i17]Zhe Li, Andreas S. Tolias, Xaq Pitkow:
Learning Dynamics and Structure of Complex Systems Using Graph Neural Networks. CoRR abs/2202.10996 (2022) - [i16]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 abs/2203.08822 (2022) - 2021
- [c13]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: 3510-3514 - [i15]Shell Xu Hu, Md Rifat Arefin, Viet-Nhat Nguyen, Alish Dipani, Xaq Pitkow, Andreas Savas Tolias:
AvaTr: One-Shot Speaker Extraction with Transformers. CoRR abs/2105.00609 (2021) - [i14]Yicheng Fei, Xaq Pitkow:
Generalization of graph network inferences in higher-order probabilistic graphical models. CoRR abs/2107.05729 (2021) - [i13]KiJung Yoon, A. Emin Orhan, Juhyun Kim, Xaq Pitkow:
Two-argument activation functions learn soft XOR operations like cortical neurons. CoRR abs/2110.06871 (2021) - [i12]Richard D. Lange, Ari S. Benjamin, Ralf M. Haefner, Xaq Pitkow:
Interpolating between sampling and variational inference with infinite stochastic mixtures. CoRR abs/2110.09618 (2021) - 2020
- [c12]A. Emin Orhan, Xaq Pitkow:
Improved memory in recurrent neural networks with sequential non-normal dynamics. ICLR 2020 - [c11]Minhae Kwon, Saurabh Daptardar, Paul R. Schrater, Xaq Pitkow:
Inverse Rational Control with Partially Observable Continuous Nonlinear Dynamics. NeurIPS 2020 - [i11]Minhae Kwon, Saurabh Daptardar, Paul R. Schrater, Xaq Pitkow:
Inverse Rational Control with Partially Observable Continuous Nonlinear Dynamics. CoRR abs/2009.12576 (2020) - [i10]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 abs/2012.05895 (2020)
2010 – 2019
- 2019
- [c10]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: 868-875 - [c9]Arun Kumar, Zhengwei Wu, Xaq Pitkow, Paul R. Schrater:
Belief dynamics extraction. CogSci 2019: 2058-2064 - [c8]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. NeurIPS 2019: 9525-9535 - [i9]Arun Kumar, Zhengwei Wu, Xaq Pitkow, Paul R. Schrater:
Belief dynamics extraction. CoRR abs/1902.00673 (2019) - [i8]A. Emin Orhan, Xaq Pitkow:
Improved memory in recurrent neural networks with sequential non-normal dynamics. CoRR abs/1905.13715 (2019) - [i7]Saurabh Daptardar, Paul R. Schrater, Xaq Pitkow:
Inverse Rational Control with Partially Observable Continuous Nonlinear Dynamics. CoRR abs/1908.04696 (2019) - [i6]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 abs/1911.05072 (2019) - 2018
- [j1]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) - [c7]A. Emin Orhan, Xaq Pitkow:
Skip Connections Eliminate Singularities. ICLR (Poster) 2018 - [c6]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 - [c5]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: 3088-3097 - [c4]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:
Stimulus domain transfer in recurrent models for large scale cortical population prediction on video. NeurIPS 2018: 7199-7210 - [i5]Renjie Liao, Yuwen Xiong, Ethan Fetaya, Lisa Zhang, KiJung Yoon, Xaq Pitkow, Raquel Urtasun, Richard S. Zemel:
Reviving and Improving Recurrent Back-Propagation. CoRR abs/1803.06396 (2018) - [i4]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 abs/1803.07710 (2018) - [i3]Zhengwei Wu, Paul R. Schrater, Xaq Pitkow:
Inverse POMDP: Inferring What You Think from What You Do. CoRR abs/1805.09864 (2018) - 2016
- [c3]Rajkumar Vasudeva Raju, Xaq Pitkow:
Inference by Reparameterization in Neural Population Codes. NIPS 2016: 2029-2037 - 2012
- [c2]Xaq Pitkow:
"Compressive neural representation of sparse, high-dimensional probabilities". NIPS 2012: 1358-1366 - [i2]Xaq Pitkow:
Compressive neural representation of sparse, high-dimensional probabilities. CoRR abs/1206.1800 (2012) - 2011
- [c1]Xaq Pitkow, Yashar Ahmadian, Kenneth D. Miller:
Learning unbelievable probabilities. NIPS 2011: 738-746 - [i1]Xaq Pitkow, Yashar Ahmadian, Kenneth D. Miller:
Learning unbelievable marginal probabilities. CoRR abs/1106.0483 (2011)
Coauthor Index
aka: Andreas Savas Tolias
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last updated on 2024-12-10 21:46 CET by the dblp team
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