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ORCIDAlex H. Williams
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2020 – today
- 2024
[c10]Dean A. Pospisil, Brett W. Larsen, Sarah E. Harvey, Alex H. Williams:
Estimating Shape Distances on Neural Representations with Limited Samples. ICLR 2024- [i11]Brett W. Larsen, Tamara G. Kolda, Anru R. Zhang, Alex H. Williams:
Tensor Decomposition Meets RKHS: Efficient Algorithms for Smooth and Misaligned Data. CoRR abs/2408.05677 (2024) - 2023
- [c9]Lyndon R. Duong, Jingyang Zhou, Josue Nassar, Jules Berman, Jeroen Olieslagers, Alex H. Williams:
Representational Dissimilarity Metric Spaces for Stochastic Neural Networks. ICLR 2023 - [c8]Sarah E. Harvey, Brett W. Larsen, Alex H. Williams:
Duality of Bures and Shape Distances with Implications for Comparing Neural Representations. UniReps 2023: 11-26 - [c7]Meenakshi Khosla, Alex H. Williams:
Soft Matching Distance: A metric on neural representations that captures single-neuron tuning. UniReps 2023: 326-341 - [i10]Dean A. Pospisil, Brett W. Larsen, Sarah E. Harvey
, Alex H. Williams:
Estimating Shape Distances on Neural Representations with Limited Samples. CoRR abs/2310.05742 (2023) - [i9]Meenakshi Khosla, Alex H. Williams:
Soft Matching Distance: A metric on neural representations that captures single-neuron tuning. CoRR abs/2311.09466 (2023) - [i8]Sarah E. Harvey, Brett W. Larsen, Alex H. Williams:
Duality of Bures and Shape Distances with Implications for Comparing Neural Representations. CoRR abs/2311.11436 (2023) - 2022
- [c6]Julia Costacurta, Lea Duncker, Blue Sheffer, Winthrop Gillis, Caleb Weinreb, Jeffrey E. Markowitz, Sandeep R. Datta, Alex H. Williams, Scott W. Linderman:
Distinguishing discrete and continuous behavioral variability using warped autoregressive HMMs. NeurIPS 2022 - [i7]Yixin Wang, Anthony Degleris, Alex H. Williams, Scott W. Linderman:
Spatiotemporal Clustering with Neyman-Scott Processes via Connections to Bayesian Nonparametric Mixture Models. CoRR abs/2201.05044 (2022) - [i6]Lyndon R. Duong, Jingyang Zhou, Josue Nassar, Jules Berman, Jeroen Olieslagers, Alex H. Williams:
Representational dissimilarity metric spaces for stochastic neural networks. CoRR abs/2211.11665 (2022) - 2021
- [c5]Alex H. Williams, Erin Kunz, Simon Kornblith, Scott W. Linderman:
Generalized Shape Metrics on Neural Representations. NeurIPS 2021: 4738-4750 - [c4]Aran Nayebi, Alexander Attinger, Malcolm Campbell, Kiah Hardcastle, Isabel Low, Caitlin S. Mallory, Gabriel Mel, Ben Sorscher, Alex H. Williams, Surya Ganguli, Lisa M. Giocomo, Daniel L. K. Yamins:
Explaining heterogeneity in medial entorhinal cortex with task-driven neural networks. NeurIPS 2021: 12167-12179 - [i5]Alex H. Williams, Erin Kunz, Simon Kornblith, Scott W. Linderman:
Generalized Shape Metrics on Neural Representations. CoRR abs/2110.14739 (2021) - 2020
- [c3]Alex H. Williams, Anthony Degleris, Yixin Wang, Scott W. Linderman:
Point process models for sequence detection in high-dimensional neural spike trains. NeurIPS 2020 - [i4]Alex H. Williams, Anthony Degleris, Yixin Wang, Scott W. Linderman:
Point process models for sequence detection in high-dimensional neural spike trains. CoRR abs/2010.04875 (2020)
2010 – 2019
- 2019
- [c2]Niru Maheswaranathan, Alex H. Williams, Matthew D. Golub, Surya Ganguli, David Sussillo:
Universality and individuality in neural dynamics across large populations of recurrent networks. NeurIPS 2019: 15603-15615 - [c1]Niru Maheswaranathan, Alex H. Williams, Matthew D. Golub, Surya Ganguli, David Sussillo:
Reverse engineering recurrent networks for sentiment classification reveals line attractor dynamics. NeurIPS 2019: 15670-15679 - [i3]Niru Maheswaranathan, Alex H. Williams, Matthew D. Golub, Surya Ganguli, David Sussillo:
Reverse engineering recurrent networks for sentiment classification reveals line attractor dynamics. CoRR abs/1906.10720 (2019) - [i2]Anthony Degleris, Ben Antin, Surya Ganguli, Alex H. Williams:
Fast Convolutive Nonnegative Matrix Factorization Through Coordinate and Block Coordinate Updates. CoRR abs/1907.00139 (2019) - [i1]Niru Maheswaranathan, Alex H. Williams, Matthew D. Golub, Surya Ganguli, David Sussillo:
Universality and individuality in neural dynamics across large populations of recurrent networks. CoRR abs/1907.08549 (2019) - 2015
- [j2]Jonathan R. Karr, Alex H. Williams, Jeremy D. Zucker, Andreas Raue, Bernhard Steiert, Jens Timmer, Clemens Kreutz, Simon Wilkinson, Brandon A. Allgood, Brian M. Bot, Bruce R. Hoff, Michael R. Kellen, Markus W. Covert, Gustavo A. Stolovitzky, Pablo Meyer:
Summary of the DREAM8 Parameter Estimation Challenge: Toward Parameter Identification for Whole-Cell Models. PLoS Comput. Biol. 11(5) (2015) - 2014
- [r1]Alex H. Williams, Albert W. Hamood, Eve Marder:
Neuromodulation in Small Networks. Encyclopedia of Computational Neuroscience 2014 - 2013
- [j1]Alex H. Williams, Timothy O'Leary, Eve Marder:
Homeostatic Regulation of Neuronal Excitability. Scholarpedia 8(1): 1656 (2013)
Coauthor Index
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last updated on 2024-10-07 22:12 CEST by the dblp team
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