Poster "kl divergence" Papers

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Adding Conditional Control to Diffusion Models with Reinforcement Learning

Yulai Zhao, Masatoshi Uehara, Gabriele Scalia et al.

ICLR 2025arXiv:2406.12120
13
citations

A Unifying Framework for Representation Learning

Shaden Alshammari, John Hershey, Axel Feldmann et al.

ICLR 2025arXiv:2504.16929
13
citations

Beyond Scores: Proximal Diffusion Models

Zhenghan Fang, Mateo Diaz, Sam Buchanan et al.

NEURIPS 2025arXiv:2507.08956
3
citations

Discrete Diffusion Models: Novel Analysis and New Sampler Guarantees

Yuchen Liang, Yingbin Liang, Lifeng LAI et al.

NEURIPS 2025arXiv:2509.16756
3
citations

Laplace Sample Information: Data Informativeness Through a Bayesian Lens

Johannes Kaiser, Kristian Schwethelm, Daniel Rueckert et al.

ICLR 2025arXiv:2505.15303

On LLM Knowledge Distillation - A Comparison between Forward KL and Reverse KL

Yihan Cao, Yanbin Kang

ICLR 2025