"kl divergence" Papers
10 papers found
Conference
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
FIMA-Q: Post-Training Quantization for Vision Transformers by Fisher Information Matrix Approximation
Zhuguanyu Wu, Shihe Wang, Jiayi Zhang et al.
CVPR 2025highlightarXiv:2506.11543
6
citations
Information-Theoretic Generative Clustering of Documents
Xin Du, Kumiko Tanaka-Ishii
AAAI 2025paperarXiv:2412.13534
1
citations
Instance-Optimality for Private KL Distribution Estimation
Jiayuan Ye, Vitaly Feldman, Kunal Talwar
NEURIPS 2025spotlightarXiv:2505.23620
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
Robust Evaluation Measures for Evaluating Social Biases in Masked Language Models
Yang Liu
AAAI 2024paperarXiv:2401.11601
5
citations