Dar Gilboa
9 papers · 2017–2024 · 3 venues · across top CS/AI venues
Authors are matched by name, so researchers who share a name ("Yang Liu", "Wei Wang") appear as a single profile and their paper counts, venues and achievements are combined. How identity is handled.
Achievements
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π Interdisciplinary Bridge Β· Gold π Academic Marathon Β· Sprint πΊοΈ Taxonomy Completionist (27) π£ Hot Topic Early Bird π Conference Polyglot Β· Bronze
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Machine Learning
(9)
Optimization & Theory Β· Machine Learning
(8)
Deep Learning
(6)
Core Methods
(5)
Artificial Intelligence
(4)
Architectures
(4)
Core AI
(4)
Mathematics & Optimization
(3)
Interdisciplinary
(2)
Optimization & Theory Β· Deep Learning
(2)
Science
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Computer Science
(1)
Application Areas
(1)
Bayesian & Probabilistic
(1)
Learning Paradigms
(1)
Keywords
neural tangent kernel
(2)
signal propagation
(2)
quantum computing
(2)
neural network quantization
(1)
mean field theory
(1)
non-convex optimization
(1)
bayesian inference
(1)
manifold learning
(1)
distributed inference
(1)
communication complexity
(1)
distributed learning
(1)
markov chain monte carlo
(1)
quantum machine learning
(1)
posterior sampling
(1)
neural network optimization
(1)
binary classification
(1)
mutual information
(1)
gradient descent
(1)
image classification
(1)
dictionary learning
(1)
Papers
Exponential Quantum Communication Advantage in Distributed Inference and Learning
NeurIPS 2024
On quantum backpropagation, information reuse, and cheating measurement collapse
NeurIPS 2023
Deep Networks and the Multiple Manifold Problem
ICLR 2021
Deep Networks Provably Classify Data on Curves
NeurIPS 2021
Estimating the Unique Information of Continuous Variables
NeurIPS 2021
Beyond Signal Propagation: Is Feature Diversity Necessary in Deep Neural Network Initialization?
ICML 2020
A Mean Field Theory of Quantized Deep Networks: The Quantization-Depth Trade-Off
NeurIPS 2019
Efficient Dictionary Learning with Gradient Descent
ICML 2019
Stochastic Bouncy Particle Sampler
ICML 2017