Connor Ding — accepted AI-conference papers

2026

GaussianVision: Vision-Language Alignment from Compressed Image Representations using 2D Gaussian Splatting

Yasmine Omri, Connor Ding, Tsachy Weissman, Thierry Tambe

CVPR 2026

Modern vision-language pipelines are driven by RGB vision encoders trained on massive image-text corpora. While these pipelines have enabled impressive zero-shot capabilities and strong transfer across tasks, they still inherit two structural inefficiencies from the pixel domain: (i) transmitting de

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2025

ItDPDM: Information-Theoretic Discrete Poisson Diffusion Model

Sagnik Bhattacharya, Abhiram Rao Gorle, Ahsan Bilal, Connor Ding, Amit Kumar Singh Yadav, Tsachy Weissman

NeurIPS 2025poster

Generative modeling of non-negative, discrete data, such as symbolic music, remains challenging due to two persistent limitations in existing methods. Firstly, many approaches rely on modeling continuous embeddings, which is suboptimal for inherently discrete data distributions. Secondly, most model…

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