Noah Amsel - RankMe

25 papers A* 4Journal 17Unranked 4

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Fixed-Sparsity Matrix Approximation from Matrix-Vector Products. SIAM J. Matrix Anal. Appl. Noah Amsel, Tyler Chen, Feyza Duman Keles, Diana Halikias, Cameron Musco, Christopher Musco
2026	J	`jnl`	Linear Systems and Eigenvalue Problems: Open Questions from a Simons Workshop. CoRR 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
2025	J	`jnl`	Compositional Reasoning with Transformers, RNNs, and Chain of Thought. CoRR Gilad Yehudai, Noah Amsel, Joan Bruna
2025	A*	`conf`	Customizing the Inductive Biases of Softmax Attention using Structured Matrices. ICML Yilun Kuang, Noah Amsel, Sanae Lotfi, Shikai Qiu, Andres Potapczynski, Andrew Gordon Wilson
2025	J	`jnl`	Customizing the Inductive Biases of Softmax Attention using Structured Matrices. CoRR Yilun Kuang, Noah Amsel, Sanae Lotfi, Shikai Qiu, Andres Potapczynski, Andrew Gordon Wilson
2025	J	`jnl`	Dion2: A Simple Method to Shrink Matrix in Muon. CoRR Kwangjun Ahn, Noah Amsel, John Langford
2025	A*	`conf`	Quality over Quantity in Attention Layers: When Adding More Heads Hurts. ICLR Noah Amsel, Gilad Yehudai, Joan Bruna
2025	J	`jnl`	Quasi-optimal hierarchically semi-separable matrix approximation. CoRR Noah Amsel, Tyler Chen, Feyza Duman Keles, Diana Halikias, Cameron Musco, Christopher Musco, David Persson
2025	J	`jnl`	Query Efficient Structured Matrix Learning. CoRR Noah Amsel, Pratyush Avi, Tyler Chen, Feyza Duman Keles, Chinmay Hegde, Cameron Musco, Christopher Musco, David Persson
2025	J	`jnl`	The Polar Express: Optimal Matrix Sign Methods and Their Application to the Muon Algorithm. CoRR Noah Amsel, David Persson, Christopher Musco, Robert Gower
2024	J	`jnl`	Fixed-sparsity matrix approximation from matrix-vector products. CoRR Noah Amsel, Tyler Chen, Feyza Duman Keles, Diana Halikias, Cameron Musco, Christopher Musco
2024	A*	`conf`	Nearly Optimal Approximation of Matrix Functions by the Lanczos Method. NeurIPS Noah Amsel, Tyler Chen, Anne Greenbaum, Cameron Musco, Christopher Musco
2024	J	`jnl`	On the Benefits of Rank in Attention Layers. CoRR Noah Amsel, Gilad Yehudai, Joan Bruna
2023	J	`jnl`	Near-Optimality Guarantees for Approximating Rational Matrix Functions by the Lanczos Method. CoRR Noah Amsel, Tyler Chen, Anne Greenbaum, Cameron Musco, Christopher Musco
2022	J	`jnl`	A Quantitative Theory of Bottleneck Structures for Data Networks. CoRR Jordi Ros-Giralt, Noah Amsel, Sruthi Yellamraju, James R. Ezick, Richard Lethin, Yuang Jiang, Aosong Feng, Leandros Tassiulas
2021	—	`conf`	Boundary Integral Solver Approaches for Particle Accelerator Simulation Problems and Deployment on NERSC Hardware. HPEC Julia Wei, Matthew Harper Langston, Pierre-David Letourneau, Matthew J. Morse, Larry Weintraub, Aimee Nogoy, Noah Amsel, Richard Lethin
2021	A*	`conf`	Designing data center networks using bottleneck structures. SIGCOMM 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
2021	J	`jnl`	Spectral Neighbor Joining for Reconstruction of Latent Tree Models. SIAM J. Math. Data Sci. Ariel Jaffe, Noah Amsel, Yariv Aizenbud, Boaz Nadler, Joseph T. Chang, Yuval Kluger
2021	J	`jnl`	Spectral Top-Down Recovery of Latent Tree Models. CoRR Yariv Aizenbud, Ariel Jaffe, Meng Wang, Amber Hu, Noah Amsel, Boaz Nadler, Joseph T. Chang, Yuval Kluger
2020	—	`conf`	Computing Bottleneck Structures at Scale for High-Precision Network Performance Analysis. INDIS@SC Noah Amsel, Jordi Ros-Giralt, Sruthi Yellamraju, James R. Ezick, Brendan von Hofe, Alison Ryan, Richard Lethin
2020	J	`jnl`	Spectral neighbor joining for reconstruction of latent tree models. CoRR Ariel Jaffe, Noah Amsel, Boaz Nadler, Joseph T. Chang, Yuval Kluger
2019	—	`conf`	Finding Hierarchical Structure in Neural Stacks Using Unsupervised Parsing. BlackboxNLP@ACL William Merrill, Lenny Khazan, Noah Amsel, Yiding Hao, Simon Mendelsohn, Robert Frank
2019	J	`jnl`	Finding Syntactic Representations in Neural Stacks. CoRR William Merrill, Lenny Khazan, Noah Amsel, Yiding Hao, Simon Mendelsohn, Robert Frank
2018	—	`conf`	Context-Free Transductions with Neural Stacks. BlackboxNLP@EMNLP Yiding Hao, William Merrill, Dana Angluin, Robert Frank, Noah Amsel, Andrew Benz, Simon Mendelsohn
2018	J	`jnl`	Context-Free Transductions with Neural Stacks. CoRR Yiding Hao, William Merrill, Dana Angluin, Robert Frank, Noah Amsel, Andrew Benz, Simon Mendelsohn