Michal Klein
11 papers · 2023–2025 · 4 venues · across top CS/AI venues
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Achievements
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🌉 Interdisciplinary Bridge · Bronze 🌍 Conference Polyglot · Bronze 🗺️ Taxonomy Completionist (22) 🐣 Hot Topic Early Bird 🗃️ Keyword Collector (61)
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Prolific Year · Productive
💎
Century Club · Bronze
Venues
Top co-authors
Research topics
Machine Learning
(9)
Deep Learning
(6)
Mathematics & Optimization
(6)
Core Methods
(5)
Optimization
(5)
Artificial Intelligence
(3)
Core AI
(3)
Mathematics
(3)
Models
(3)
Optimization & Theory · Machine Learning
(3)
Architectures
(2)
Learning Types · Deep Learning
(2)
Techniques
(2)
Learning Types · Machine Learning
(1)
Optimization & Theory · Deep Learning
(1)
Keywords
optimal transport
(5)
diffusion model
(2)
large language model
(2)
entropic regularization
(2)
self-supervised learning
(1)
multimodal learning
(1)
feature selection
(1)
entropy regularization
(1)
pretraining
(1)
low-rank approximation
(1)
bregman divergence
(1)
gene expression
(1)
flow matching
(1)
sinkhorn algorithm
(1)
generative model
(1)
orthogonal projection
(1)
proximal operator
(1)
high-dimensional data
(1)
sparse representation
(1)
statistical consistency
(1)
Papers
Controlling Language and Diffusion Models by Transporting Activations
ICLR 2025
Multimodal Autoregressive Pre-training of Large Vision Encoders
CVPR 2025
Simple ReFlow: Improved Techniques for Fast Flow Models
ICLR 2025
Careful with that Scalpel: Improving Gradient Surgery with an EMA
ICML 2024
Contrasting Multiple Representations with the Multi-Marginal Matching Gap
ICML 2024
Learning Elastic Costs to Shape Monge Displacements
NeurIPS 2024
Progressive Entropic Optimal Transport Solvers
NeurIPS 2024
Scalable Pre-training of Large Autoregressive Image Models
ICML 2024
Monge, Bregman and Occam: Interpretable Optimal Transport in High-Dimensions with Feature-Sparse Maps
ICML 2023
Predicting Ordinary Differential Equations with Transformers
ICML 2023
Unbalanced Low-rank Optimal Transport Solvers
NeurIPS 2023