Daniel Reichman
8 papers · 2013–2025 · 5 conferences · across top CS/AI conferences
Achievements
Jump to papers ↓+5 more ↓ Show less ↑
π£ Hot Topic Early Bird π Interdisciplinary Bridge π§ Keyword Pioneer π Conference Polyglot (5) π Academic Marathon (12)
π
Cross-Pollinator
(14)
π
Renaissance Researcher
(5)
πΊοΈ
Taxonomy Completionist
(16)
π
Conference Pioneer
π
Trend Setter
Conferences
NIPS (3)
COLT (2)
AISTATS (1)
CVPR (1)
ICML (1)
Top co-authors
Research topics
Keywords
neural network
(2)
neural network approximation
(2)
graph theory
(2)
network architecture
(1)
template matching
(1)
approximate matching
(1)
statistical learning theory
(1)
hypothesis testing
(1)
parallel processing
(1)
signal detection
(1)
approximation algorithm
(1)
human decision-making
(1)
eigenvalue analysis
(1)
markov random field
(1)
bipartite graph
(1)
branch and bound
(1)
spectral method
(1)
boolean function
(1)
inductive bia
(1)
transfer learning
(1)
Papers
Depth Separations in Neural Networks: Separating the Dimension from the Accuracy
COLT 2025
Size and depth of monotone neural networks: interpolation and approximation
NIPS 2022
Size and Depth Separation in Approximating Benign Functions with Neural Networks
COLT 2021
Cognitive model priors for predicting human decisions
ICML 2019
Inference in Sparse Graphs with Pairwise Measurements and Side Information
AISTATS 2018
A graph-theoretic approach to multitasking
NIPS 2017
On the Limitation of Spectral Methods: From the Gaussian Hidden Clique Problem to Rank-One Perturbations of Gaussian Tensors
NIPS 2015
FasT-Match: Fast Affine Template Matching
CVPR 2013