Michal Klein
- Multimodal Autoregressive Pre-training of Large Vision Encoders
2024/11/21 by Enrico Fini, Mustafa Shukor, Fini, Enrico +29 · 26 citations
Computer Science · #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Neural Networks and Applications
- Scalable Pre-training of Large Autoregressive Image Models
2024/01/16 by Alaaeldin El-Nouby, El-Nouby, Alaaeldin, Michal Klein +13 · 16 citations
Computer Science · Medicine · #COVID-19 diagnosis using AI #Computer Vision and Pattern Recognition (cs.CV) #Domain Adaptation and Few-Shot Learning #FOS: Computer and information sciences #Multimodal Machine Learning Applications
- Controlling Language and Diffusion Models by Transporting Activations
2024/10/30 by Pau Rodriguez, Pau Rodríguez, Arno Blaas +12 · 2 voices · 8 citations
Computer Science · #Natural Language Processing Techniques #cs.AI #cs.CL #cs.CV #cs.LG
- Simple ReFlow: Improved Techniques for Fast Flow Models
2024/10/10 by Beomsu Kim, Kim, Beomsu, Yu-Guan Hsieh +11 · 1 voice · 12 citations
Computer Science · #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Machine Learning (cs.LG) #cs.CV #cs.LG
- Mapping cells through time and space with moscot
2025/01/22 by Dominik Klein, Giovanni Palla, Marius Lange +17 · 1 voice · 13 citations
Biochemistry, Genetics and Molecular Biology · #Single-cell and spatial transcriptomics #Gene Regulatory Network Analysis
- Multivariate Conformal Prediction using Optimal Transport
2025/02/05 by Michal Klein, Louis Béthune, Klein, Michal +5 · 10 citations
Computer Science · #Neural Networks and Applications
- Learning Elastic Costs to Shape Monge Displacements
2023/06/20 by Michal Klein, Klein, Michal, Aram-Alexandre Pooladian +9 · 2 citations
Computer Science · Mathematics · #FOS: Computer and information sciences #Gaussian Processes and Bayesian Inference #Generative Adversarial Networks and Image Synthesis #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Statistical Methods and Inference
- On Fitting Flow Models with Large Sinkhorn Couplings
2025/06/05 by Stephen Zhang, Alireza Mousavi-Hosseini, Zhang, Stephen +5 · 2 voices · 5 citations
Computer Science · #Advanced Vision and Imaging #Generative Adversarial Networks and Image Synthesis #Medical Image Segmentation Techniques #cs.LG #stat.ML
- Monge, Bregman and Occam: Interpretable Optimal Transport in High-Dimensions with Feature-Sparse Maps
2023/02/08 by Marco Cuturi, Cuturi, Marco, Michal Klein +3 · 1 citation
Mathematics · #FOS: Biological sciences #FOS: Computer and information sciences #Genomics (q-bio.GN) #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Statistical Methods and Inference