activity
20172026
most citedImage to Image Translation for Domain Adaptation

25 citations · 77 across the 45 of their papers we have counts for

collaborators
Showing cs.LGShow all

43 papers · 1 filter

cs.LG2026

Partial Optimal Transport on the Circle for All Transported Masses in O(N log N)

Soheil Kolouri

Partial optimal transport compares two measures while leaving part of the mass unmatched, which is what makes it robust to outliers, occlusion, and clutter. The quantity of interes…

cs.LG2026

SE(3)-MeanFlow: Few-Step Protein Backbone Generation on Lie Groups

Yikun Bai, Binghang Lu, Yikai Liu +7

Generative modeling of protein backbones promises the de novo design of proteins with prescribed structural and functional properties. Existing diffusion and flow-matching models p…

cs.LG2026

IO-SVD: Input-Output Whitened SVD for Adaptive-Rank LLM Compression

Ali Abbasi, Chayne Thrash, Haoran Qin +2

Large language models deliver strong performance across language and reasoning tasks, but their storage and compute costs remain major barriers to deployment in resource-constraine…

cs.LG2026

Min Generalized Sliced Gromov Wasserstein: A Scalable Path to Gromov Wasserstein

Ashkan Shahbazi, Xinran Liu, Ping He +1

We propose min Generalized Sliced Gromov--Wasserstein (min-GSGW), a sliced formulation for the Gromov--Wasserstein (GW) problem using expressive generalized slicers. The key idea i…

cs.LG2026

ConQuR: Corner Aligned Activation Quantization via Optimized Rotations for LLMs

Chayne Thrash, Ali Abbasi, Soheil Kolouri

Large language models (LLMs) are costly to deploy due to their large memory footprint and high inference cost. Weight-activation quantization can reduce these costs, but low-bit ac…

cs.LG2026

Zero Sum SVD: Balancing Loss Sensitivity for Low Rank LLM Compression

Ali Abbasi, Chayne Thrash, Haoran Qin +3

Advances in large language models have driven strong performance across many tasks, but their memory and compute costs still hinder deployment. SVD-based compression reduces storag…