Summary of Scaling Tractable Probabilistic Circuits: a Systems Perspective, by Anji Liu et al.
Scaling Tractable Probabilistic Circuits: A Systems Perspectiveby Anji Liu, Kareem Ahmed, Guy Van den BroeckFirst…
Scaling Tractable Probabilistic Circuits: A Systems Perspectiveby Anji Liu, Kareem Ahmed, Guy Van den BroeckFirst…
Diffusion Tuning: Transferring Diffusion Models via Chain of Forgettingby Jincheng Zhong, Xingzhuo Guo, Jiaxiang Dong,…
Bayesian Joint Additive Factor Models for Multiview Learningby Niccolo Anceschi, Federico Ferrari, David B. Dunson,…
Learning Discrete Concepts in Latent Hierarchical Modelsby Lingjing Kong, Guangyi Chen, Biwei Huang, Eric P.…
Breast Cancer Diagnosis: A Comprehensive Exploration of Explainable Artificial Intelligence (XAI) Techniquesby Samita Bai, Sidra…
Causal Contrastive Learning for Counterfactual Regression Over Timeby Mouad El Bouchattaoui, Myriam Tami, Benoit Lepetit,…
Leveraging Knowlegde Graphs for Interpretable Feature Generationby Mohamed Bouadi, Arta Alavi, Salima Benbernou, Mourad OuziriFirst…
CONFINE: Conformal Prediction for Interpretable Neural Networksby Linhui Huang, Sayeri Lala, Niraj K. JhaFirst submitted…
LIDAO: Towards Limited Interventions for Debiasing (Large) Language Modelsby Tianci Liu, Haoyu Wang, Shiyang Wang,…
Strategic Linear Contextual Banditsby Thomas Kleine Buening, Aadirupa Saha, Christos Dimitrakakis, Haifeng XuFirst submitted to…