Ev Zisselman
4 papers · 2019–2023 · 3 venues · across top CS/AI venues
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Achievements
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Conference Polyglot · Bronze
🌉
Interdisciplinary Bridge · Silver
🗺️
Taxonomy Completionist
(17)
🐣
Hot Topic Early Bird
Venues
Research topics
Machine Learning
(4)
Deep Learning
(2)
Reinforcement Learning
(2)
Core Methods
(2)
Learning Types
(2)
Methods
(2)
Optimization & Theory
(2)
Artificial Intelligence
(1)
Computer Vision
(1)
Mathematics & Optimization
(1)
Application Areas
(1)
Architectures
(1)
Bayesian & Probabilistic · Artificial Intelligence
(1)
Bayesian & Probabilistic · Machine Learning
(1)
Models
(1)
Keywords
dictionary learning
(1)
reinforcement learning
(1)
stochastic gradient descent
(1)
zero-shot learning
(1)
online learning
(1)
density estimation
(1)
bayesian reinforcement learning
(1)
sparse representation
(1)
image fusion
(1)
algorithmic stability
(1)
sparse optimization
(1)
mirror descent
(1)
block coordinate descent
(1)
image inpainting
(1)
convolutional sparse coding
(1)
generative model
(1)
gaussian distribution
(1)
normalizing flow
(1)
out-of-distribution detection
(1)
policy generalization
(1)
Papers
Explore to Generalize in Zero-Shot RL
NeurIPS 2023
Regularization Guarantees Generalization in Bayesian Reinforcement Learning through Algorithmic Stability
AAAI 2022
Deep Residual Flow for Out of Distribution Detection
CVPR 2020
A Local Block Coordinate Descent Algorithm for the CSC Model
CVPR 2019