Dar Gilboa
9 papers · 2017–2024 · 3 conferences · across top CS/AI conferences
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Conferences
NIPS (5)
ICML (3)
ICLR (1)
Top co-authors
Keywords
signal propagation
(2)
quantum computing
(2)
neural network quantization
(1)
neural tangent kernel
(1)
mean field theory
(1)
nonconvex optimization
(1)
manifold learning
(1)
neural network optimization
(1)
bayesian inference
(1)
communication complexity
(1)
distributed learning
(1)
binary classification
(1)
quantum machine learning
(1)
posterior sampling
(1)
image classification
(1)
markov chain monte carlo
(1)
mutual information
(1)
gradient descent
(1)
distributed inference
(1)
dictionary learning
(1)
Papers
Exponential Quantum Communication Advantage in Distributed Inference and Learning
NIPS 2024
On quantum backpropagation, information reuse, and cheating measurement collapse
NIPS 2023
Deep Networks and the Multiple Manifold Problem
ICLR 2021
Estimating the Unique Information of Continuous Variables
NIPS 2021
Deep Networks Provably Classify Data on Curves
NIPS 2021
Beyond Signal Propagation: Is Feature Diversity Necessary in Deep Neural Network Initialization?
ICML 2020
Efficient Dictionary Learning with Gradient Descent
ICML 2019
A Mean Field Theory of Quantized Deep Networks: The Quantization-Depth Trade-Off
NIPS 2019
Stochastic Bouncy Particle Sampler
ICML 2017