Michal Klein
11 papers · 2023–2025 · 4 conferences · across top CS/AI conferences
Achievements
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π£ Hot Topic Early Bird π Interdisciplinary Bridge π§ Keyword Pioneer π Cross-Pollinator (10) πΊοΈ Taxonomy Completionist (14)
π
Conference Polyglot
(4)
π
Century Club
(11)
β‘
Prolific Year
(5)
Conferences
ICML (5)
NIPS (3)
ICLR (2)
CVPR (1)
Top co-authors
Keywords
optimal transport
(4)
entropic regularization
(2)
feature selection
(1)
sparse representation
(1)
multimodal learning
(1)
low-rank approximation
(1)
bregman divergence
(1)
gene expression
(1)
proximal operator
(1)
high-dimensional datum
(1)
entropy regularization
(1)
foundation model
(1)
image understanding
(1)
vision encoder
(1)
ordinary differential equation
(1)
symbolic regression
(1)
spatial transcriptomics
(1)
irregular sampling
(1)
unbalanced optimal transport
(1)
transport map
(1)
Papers
Multimodal Autoregressive Pre-training of Large Vision Encoders
CVPR 2025
Simple ReFlow: Improved Techniques for Fast Flow Models
ICLR 2025
Controlling Language and Diffusion Models by Transporting Activations
ICLR 2025
Contrasting Multiple Representations with the Multi-Marginal Matching Gap
ICML 2024
Progressive Entropic Optimal Transport Solvers
NIPS 2024
Learning Elastic Costs to Shape Monge Displacements
NIPS 2024
Scalable Pre-training of Large Autoregressive Image Models
ICML 2024
Careful with that Scalpel: Improving Gradient Surgery with an EMA
ICML 2024
Unbalanced Low-rank Optimal Transport Solvers
NIPS 2023
Predicting Ordinary Differential Equations with Transformers
ICML 2023
Monge, Bregman and Occam: Interpretable Optimal Transport in High-Dimensions with Feature-Sparse Maps
ICML 2023