Noah Amsel

According to our database, Noah Amsel authored at least 22 papers between 2018 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2026

Linear Systems and Eigenvalue Problems: Open Questions from a Simons Workshop.

Noah Amsel, Yves Baumann, Paul Beckman, Peter Bürgisser, Chris Camaño, Tyler Chen, Edmond Chow, Anil Damle, Michal Derezinski, Mark Embree, Ethan N. Epperly, Robert D. Falgout, Mark Fornace, Anne Greenbaum, Chen Greif, Diana Halikias, Zhen Huang, Elias Jarlebring, Yiannis Koutis, Daniel Kressner, Rasmus Kyng, Jörg Liesen, Jackie Lok, Raphael A. Meyer, Yuji Nakatsukasa, Kate Pearce, Richard Peng, David Persson, Elizaveta Rebrova, Ryan Schneider, Rikhav Shah, Edgar Solomonik, Nikhil Srivastava, Alex Townsend, Robert J. Webber, Jess Williams

CoRR, February, 2026

Fixed-Sparsity Matrix Approximation from Matrix-Vector Products.

Noah Amsel, Tyler Chen, Feyza Duman Keles, Diana Halikias, Cameron Musco, Christopher Musco

SIAM J. Matrix Anal. Appl., 2026

2025

Dion2: A Simple Method to Shrink Matrix in Muon.

Kwangjun Ahn, Noah Amsel, John Langford

CoRR, December, 2025

Query Efficient Structured Matrix Learning.

Noah Amsel, Pratyush Avi, Tyler Chen, Feyza Duman Keles, Chinmay Hegde, Cameron Musco, Christopher Musco, David Persson

CoRR, July, 2025

Quasi-optimal hierarchically semi-separable matrix approximation.

Noah Amsel, Tyler Chen, Feyza Duman Keles, Diana Halikias, Cameron Musco, Christopher Musco, David Persson

CoRR, May, 2025

The Polar Express: Optimal Matrix Sign Methods and Their Application to the Muon Algorithm.

Noah Amsel, David Persson, Christopher Musco, Robert Gower

CoRR, May, 2025

Compositional Reasoning with Transformers, RNNs, and Chain of Thought.

Gilad Yehudai, Noah Amsel, Joan Bruna

CoRR, March, 2025

Customizing the Inductive Biases of Softmax Attention using Structured Matrices.

Yilun Kuang, Noah Amsel, Sanae Lotfi, Shikai Qiu, Andres Potapczynski, Andrew Gordon Wilson

Proceedings of the Forty-second International Conference on Machine Learning, 2025

Quality over Quantity in Attention Layers: When Adding More Heads Hurts.

Noah Amsel, Gilad Yehudai, Joan Bruna

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

2024

On the Benefits of Rank in Attention Layers.

Noah Amsel, Gilad Yehudai, Joan Bruna

CoRR, 2024

Nearly Optimal Approximation of Matrix Functions by the Lanczos Method.

Noah Amsel, Tyler Chen, Anne Greenbaum, Cameron Musco, Christopher Musco

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

2023

Near-Optimality Guarantees for Approximating Rational Matrix Functions by the Lanczos Method.

Noah Amsel, Tyler Chen, Anne Greenbaum, Cameron Musco, Christopher Musco

CoRR, 2023

2022

A Quantitative Theory of Bottleneck Structures for Data Networks.

Jordi Ros-Giralt, Noah Amsel, Sruthi Yellamraju, James R. Ezick, Richard Lethin, Yuang Jiang, Aosong Feng, Leandros Tassiulas

CoRR, 2022

2021

Spectral Neighbor Joining for Reconstruction of Latent Tree Models.

Ariel Jaffe, Noah Amsel, Yariv Aizenbud, Boaz Nadler, Joseph T. Chang, Yuval Kluger

SIAM J. Math. Data Sci., 2021

Spectral Top-Down Recovery of Latent Tree Models.

Yariv Aizenbud, Ariel Jaffe, Meng Wang, Amber Hu, Noah Amsel, Boaz Nadler, Joseph T. Chang, Yuval Kluger

CoRR, 2021

Designing data center networks using bottleneck structures.

Jordi Ros-Giralt, Noah Amsel, Sruthi Yellamraju, James R. Ezick, Richard Lethin, Yuang Jiang, Aosong Feng, Leandros Tassiulas, Zhenguo Wu, Min Yee Teh, Keren Bergman

Proceedings of the ACM SIGCOMM 2021 Conference, Virtual Event, USA, August 23-27, 2021., 2021

Boundary Integral Solver Approaches for Particle Accelerator Simulation Problems and Deployment on NERSC Hardware.

Julia Wei, Matthew Harper Langston, Pierre-David Letourneau, Matthew J. Morse, Larry Weintraub, Aimee Nogoy, Noah Amsel, Richard Lethin

Proceedings of the 2021 IEEE High Performance Extreme Computing Conference, 2021

2020

Spectral neighbor joining for reconstruction of latent tree models.

Ariel Jaffe, Noah Amsel, Boaz Nadler, Joseph T. Chang, Yuval Kluger

CoRR, 2020

Computing Bottleneck Structures at Scale for High-Precision Network Performance Analysis.

Noah Amsel, Jordi Ros-Giralt, Sruthi Yellamraju, James R. Ezick, Brendan von Hofe, Alison Ryan, Richard Lethin

Proceedings of the IEEE/ACM Innovating the Network for Data-Intensive Science, 2020

2019

Finding Syntactic Representations in Neural Stacks.

William Merrill, Lenny Khazan, Noah Amsel, Yiding Hao, Simon Mendelsohn, Robert Frank

CoRR, 2019

Finding Hierarchical Structure in Neural Stacks Using Unsupervised Parsing.

William Merrill, Lenny Khazan, Noah Amsel, Yiding Hao, Simon Mendelsohn, Robert Frank

Proceedings of the 2019 ACL Workshop BlackboxNLP: Analyzing and Interpreting Neural Networks for NLP, 2019

2018

Context-Free Transductions with Neural Stacks.

Yiding Hao, William Merrill, Dana Angluin, Robert Frank, Noah Amsel, Andrew Benz, Simon Mendelsohn

Proceedings of the Workshop: Analyzing and Interpreting Neural Networks for NLP, 2018