Ruben Ohana
9 papers · 2020–2024 · 3 venues · across top CS/AI venues
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Achievements
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Conference Polyglot · Bronze
🌉
Interdisciplinary Bridge · Silver
🗺️
Taxonomy Completionist
(24)
🐣
Hot Topic Early Bird
👥
Mega-Team · Squad
Venues
Top co-authors
Research topics
Machine Learning
(7)
Deep Learning
(5)
Optimization & Theory
(5)
Mathematics & Optimization
(4)
Architectures
(4)
Optimization
(3)
Artificial Intelligence
(2)
Computer Science
(2)
Core Methods
(2)
Learning Paradigms
(2)
Mathematics
(2)
Computer Vision
(1)
Application Areas
(1)
Applications
(1)
Foundations
(1)
Keywords
surrogate model
(2)
spatiotemporal system
(2)
optimal transport
(1)
neural network optimization
(1)
sliced wasserstein distance
(1)
dimension reduction
(1)
reservoir computing
(1)
recurrent neural network
(1)
interpolation
(1)
adaptive learning rate
(1)
generalization bound
(1)
pac-bayesian bound
(1)
random projection
(1)
diffusion model
(1)
convergence rate
(1)
time series prediction
(1)
deep learning theory
(1)
random feature
(1)
fluid dynamics
(1)
transfer learning
(1)
Papers
Listening to the noise: Blind Denoising with Gibbs Diffusion
ICML 2024
MoMo: Momentum Models for Adaptive Learning Rates
ICML 2024
Multiple Physics Pretraining for Spatiotemporal Surrogate Models
NeurIPS 2024
The Well: a Large-Scale Collection of Diverse Physics Simulations for Machine Learning
NeurIPS 2024
Complex-to-Real Sketches for Tensor Products with Applications to the Polynomial Kernel
AISTATS 2023
Shedding a PAC-Bayesian Light on Adaptive Sliced-Wasserstein Distances
ICML 2023
Align, then memorise: the dynamics of learning with feedback alignment
ICML 2021
Photonic Differential Privacy with Direct Feedback Alignment
NeurIPS 2021
Reservoir Computing meets Recurrent Kernels and Structured Transforms
NeurIPS 2020