Daniel Reichman
8 papers · 2013–2025 · 5 venues · across top CS/AI venues
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Achievements
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π Conference Polyglot Β· Silver π Academic Marathon Β· Half π Interdisciplinary Bridge Β· Silver πΊοΈ Taxonomy Completionist (17) π£ Hot Topic Early Bird
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Conference Pioneer
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Research topics
Machine Learning
(7)
Optimization & Theory Β· Machine Learning
(6)
Deep Learning
(4)
Mathematics & Optimization
(4)
Architectures
(4)
Mathematics
(3)
Learning Types
(2)
Optimization & Theory Β· Deep Learning
(2)
Artificial Intelligence
(1)
Computer Vision
(1)
Core Methods
(1)
Learning Paradigms
(1)
Optimization
(1)
Processing
(1)
Statistics
(1)
Keywords
neural network
(3)
depth separation
(2)
neural network approximation
(2)
graph theory
(2)
threshold circuit
(2)
function approximation
(1)
signal detection
(1)
network architecture
(1)
parallel processing
(1)
hypothesis testing
(1)
statistical learning theory
(1)
signal-to-noise ratio
(1)
template matching
(1)
human decision-making
(1)
bipartite graph
(1)
branch and bound
(1)
markov random field
(1)
approximation algorithm
(1)
spectral method
(1)
eigenvalue analysis
(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
NeurIPS 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
NeurIPS 2017
On the Limitation of Spectral Methods: From the Gaussian Hidden Clique Problem to Rank-One Perturbations of Gaussian Tensors
NeurIPS 2015
FasT-Match: Fast Affine Template Matching
CVPR 2013