Alex H. Williams

33 papers A* 11Journal 17Unranked 4
YearRankTypeTitle / Venue / Authors
2026 J jnl
Partial Soft-Matching Distance for Neural Representational Comparison with Partial Unit Correspondence.
CoRR
Chaitanya Kapoor, Alex H. Williams, Meenakshi Khosla
2026 J jnl
Quasi Monte Carlo methods enable extremely low-dimensional deep generative models.
CoRR
Miles Martinez, Alex H. Williams
2025 A* conf
Comparing noisy neural population dynamics using optimal transport distances.
ICLR
Amin Nejatbakhsh, Victor Geadah, Alex H. Williams, David Lipshutz
2025 A* conf
Discriminating image representations with principal distortions.
ICLR
Jenelle Feather, David Lipshutz, Sarah E. Harvey, Alex H. Williams, Eero P. Simoncelli
2025 A* conf
Disentangling 3D Animal Pose Dynamics with Scrubbed Conditional Latent Variables.
ICLR
Joshua Huang Wu, Hari Koneru, James Russell Ravenel, Anshuman Sabath, James Michael Roach, Shaun Sze-Xian Lim, Michael R. Tadross, Alex H. Williams, Timothy W. Dunn
2025 — conf
Equivalence between representational similarity analysis, centered kernel alignment, and canonical correlations analysis.
UniReps
Alex H. Williams
2025 — conf
What Representational Similarity Measures Imply about Decodable Information.
UniReps
Sarah E. Harvey, David Lipshutz, Alex H. Williams
2024 J jnl
Discriminating image representations with principal distortions.
CoRR
Jenelle Feather, David Lipshutz, Sarah E. Harvey, Alex H. Williams, Eero P. Simoncelli
2024 A* conf
Estimating Shape Distances on Neural Representations with Limited Samples.
ICLR
Dean A. Pospisil, Brett W. Larsen, Sarah E. Harvey, Alex H. Williams
2024 J jnl
Tensor Decomposition Meets RKHS: Efficient Algorithms for Smooth and Misaligned Data.
CoRR
Brett W. Larsen, Tamara G. Kolda, Anru R. Zhang, Alex H. Williams
2024 J jnl
What Representational Similarity Measures Imply about Decodable Information.
CoRR
Sarah E. Harvey, David Lipshutz, Alex H. Williams
2023 — conf
Duality of Bures and Shape Distances with Implications for Comparing Neural Representations.
UniReps
Sarah E. Harvey, Brett W. Larsen, Alex H. Williams
2023 J jnl
Duality of Bures and Shape Distances with Implications for Comparing Neural Representations.
CoRR
Sarah E. Harvey, Brett W. Larsen, Alex H. Williams
2023 J jnl
Estimating Shape Distances on Neural Representations with Limited Samples.
CoRR
Dean A. Pospisil, Brett W. Larsen, Sarah E. Harvey, Alex H. Williams
2023 A* conf
Representational Dissimilarity Metric Spaces for Stochastic Neural Networks.
ICLR
Lyndon R. Duong, Jingyang Zhou, Josue Nassar, Jules Berman, Jeroen Olieslagers, Alex H. Williams
2023 — conf
Soft Matching Distance: A metric on neural representations that captures single-neuron tuning.
UniReps
Meenakshi Khosla, Alex H. Williams
2023 J jnl
Soft Matching Distance: A metric on neural representations that captures single-neuron tuning.
CoRR
Meenakshi Khosla, Alex H. Williams
2022 A* conf
Distinguishing discrete and continuous behavioral variability using warped autoregressive HMMs.
NeurIPS
Julia Costacurta, Lea Duncker, Blue Sheffer, Winthrop Gillis, Caleb Weinreb, Jeffrey E. Markowitz, Sandeep R. Datta, Alex H. Williams, Scott W. Linderman
2022 J jnl
Representational dissimilarity metric spaces for stochastic neural networks.
CoRR
Lyndon R. Duong, Jingyang Zhou, Josue Nassar, Jules Berman, Jeroen Olieslagers, Alex H. Williams
2022 J jnl
Spatiotemporal Clustering with Neyman-Scott Processes via Connections to Bayesian Nonparametric Mixture Models.
CoRR
Yixin Wang, Anthony Degleris, Alex H. Williams, Scott W. Linderman
2021 A* conf
Explaining heterogeneity in medial entorhinal cortex with task-driven neural networks.
NeurIPS
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
2021 A* conf
Generalized Shape Metrics on Neural Representations.
NeurIPS
Alex H. Williams, Erin Kunz, Simon Kornblith, Scott W. Linderman
2021 J jnl
Generalized Shape Metrics on Neural Representations.
CoRR
Alex H. Williams, Erin Kunz, Simon Kornblith, Scott W. Linderman
2020 A* conf
Point process models for sequence detection in high-dimensional neural spike trains.
NeurIPS
Alex H. Williams, Anthony Degleris, Yixin Wang, Scott W. Linderman
2020 J jnl
Point process models for sequence detection in high-dimensional neural spike trains.
CoRR
Alex H. Williams, Anthony Degleris, Yixin Wang, Scott W. Linderman
2019 J jnl
Fast Convolutive Nonnegative Matrix Factorization Through Coordinate and Block Coordinate Updates.
CoRR
Anthony Degleris, Ben Antin, Surya Ganguli, Alex H. Williams
2019 A* conf
Reverse engineering recurrent networks for sentiment classification reveals line attractor dynamics.
NeurIPS
Niru Maheswaranathan, Alex H. Williams, Matthew D. Golub, Surya Ganguli, David Sussillo
2019 J jnl
Reverse engineering recurrent networks for sentiment classification reveals line attractor dynamics.
CoRR
Niru Maheswaranathan, Alex H. Williams, Matthew D. Golub, Surya Ganguli, David Sussillo
2019 A* conf
Universality and individuality in neural dynamics across large populations of recurrent networks.
NeurIPS
Niru Maheswaranathan, Alex H. Williams, Matthew D. Golub, Surya Ganguli, David Sussillo
2019 J jnl
Universality and individuality in neural dynamics across large populations of recurrent networks.
CoRR
Niru Maheswaranathan, Alex H. Williams, Matthew D. Golub, Surya Ganguli, David Sussillo
2015 J jnl
Summary of the DREAM8 Parameter Estimation Challenge: Toward Parameter Identification for Whole-Cell Models.
PLoS Comput. Biol.
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
2014 — ch.
Neuromodulation in Small Networks.
Encyclopedia of Computational Neuroscience
Alex H. Williams, Albert W. Hamood, Eve Marder
2013 J jnl
Homeostatic Regulation of Neuronal Excitability.
Scholarpedia
Alex H. Williams, Timothy O'Leary, Eve Marder