Alex H. Williams

According to our database, Alex H. Williams authored at least 15 papers between 2013 and 2023.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2023

Duality of Bures and Shape Distances with Implications for Comparing Neural Representations.

Sarah E. Harvey, Brett W. Larsen, Alex H. Williams

CoRR, 2023

Soft Matching Distance: A metric on neural representations that captures single-neuron tuning.

Meenakshi Khosla, Alex H. Williams

CoRR, 2023

Estimating Shape Distances on Neural Representations with Limited Samples.

Dean A. Pospisil, Brett W. Larsen, Sarah E. Harvey, Alex H. Williams

CoRR, 2023

Representational Dissimilarity Metric Spaces for Stochastic Neural Networks.

Lyndon R. Duong, Jingyang Zhou, Josue Nassar, Jules Berman, Jeroen Olieslagers, Alex H. Williams

Proceedings of the Eleventh International Conference on Learning Representations, 2023

2022

Spatiotemporal Clustering with Neyman-Scott Processes via Connections to Bayesian Nonparametric Mixture Models.

Yixin Wang, Anthony Degleris, Alex H. Williams, Scott W. Linderman

CoRR, 2022

Distinguishing discrete and continuous behavioral variability using warped autoregressive HMMs.

Julia Costacurta, Lea Duncker, Blue Sheffer, Winthrop Gillis, Caleb Weinreb, Jeffrey E. Markowitz, Sandeep R. Datta, Alex H. Williams, Scott W. Linderman

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

2021

Generalized Shape Metrics on Neural Representations.

Alex H. Williams, Erin Kunz, Simon Kornblith, Scott W. Linderman

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Explaining heterogeneity in medial entorhinal cortex with task-driven neural networks.

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

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

2020

Point process models for sequence detection in high-dimensional neural spike trains.

Alex H. Williams, Anthony Degleris, Yixin Wang, Scott W. Linderman

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

2019

Fast Convolutive Nonnegative Matrix Factorization Through Coordinate and Block Coordinate Updates.

Anthony Degleris, Ben Antin, Surya Ganguli, Alex H. Williams

CoRR, 2019

Reverse engineering recurrent networks for sentiment classification reveals line attractor dynamics.

Niru Maheswaranathan, Alex H. Williams, Matthew D. Golub, Surya Ganguli, David Sussillo

Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

Universality and individuality in neural dynamics across large populations of recurrent networks.

Niru Maheswaranathan, Alex H. Williams, Matthew D. Golub, Surya Ganguli, David Sussillo

Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

2015

Summary of the DREAM8 Parameter Estimation Challenge: Toward Parameter Identification for Whole-Cell Models.

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

PLoS Comput. Biol., 2015

2014

Neuromodulation in Small Networks.

Alex H. Williams, Albert W. Hamood, Eve Marder

Proceedings of the Encyclopedia of Computational Neuroscience, 2014

2013

Homeostatic Regulation of Neuronal Excitability.

Alex H. Williams, Timothy O'Leary, Eve Marder

Scholarpedia, 2013