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From the 1 of 24 linked papers with an AI index.

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24 papers

cs.LG2026

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

Yikun Bai, Binghang Lu, Yikai Liu +7

The paper presents SE(3)-MeanFlow, a generative model that creates protein backbone structures directly on the SE(3) Lie group using a few inference steps, avoiding costly ODE inte…

cs.CV2026

KG-FairDiff: Knowledge Graph-Guided Prompt Refinement for Demographically Fair Text-to-Image Generation

Farbod Davoodi, Seyed Reza Tavakoli Shiyadeh, Pooria Safaei +12

Text-to-Image (TTI) systems are now everyday infrastructure for journalism, education, advertising, and public communication, and the demographic and cultural stereotypes they inhe…

cs.CV2026

Efficient Transferable Optimal Transport via Min-Sliced Transport Plans

Xinran Liu, Elaheh Akbari, Rocio Diaz Martin +2

Optimal Transport (OT) offers a powerful framework for finding correspondences between distributions and addressing matching and alignment problems in various areas of computer vis…

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…