Noah Amsel
6 papers · 2018–2026 · 6 venues · across top CS/AI venues
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Research topics
Machine Learning
(5)
Deep Learning
(3)
Architectures
(3)
Core Methods
(3)
Natural Language Processing
(2)
Optimization & Theory
(2)
Artificial Intelligence
(1)
Computer Science
(1)
Mathematics & Optimization
(1)
Application Areas
(1)
Core AI
(1)
Foundations
(1)
Generation
(1)
Learning Types
(1)
Mathematics
(1)
Keywords
bayesian inference
(1)
attention mechanism
(1)
language modeling
(1)
unsupervised parsing
(1)
low-rank approximation
(1)
hierarchical representation
(1)
nearest neighbor search
(1)
gaussian process regression
(1)
query complexity
(1)
constituency parsing
(1)
hierarchical structure
(1)
matrix sketching
(1)
recurrent neural network
(1)
attention head
(1)
scoring function
(1)
krylov subspace
(1)
covering number
(1)
rational approximation
(1)
syntactic tree
(1)
differentiable stack
(1)
Papers
Query Efficient Structured Matrix Learning
COLT 2026
Customizing the Inductive Biases of Softmax Attention using Structured Matrices
ICML 2025
Quality over Quantity in Attention Layers: When Adding More Heads Hurts
ICLR 2025
Nearly Optimal Approximation of Matrix Functions by the Lanczos Method
NeurIPS 2024
Finding Hierarchical Structure in Neural Stacks Using Unsupervised Parsing
ACL 2019
Context-Free Transductions with Neural Stacks
EMNLP 2018