TAGLETS: A System for Automatic Semi-Supervised Learning with Auxiliary Data. - Wasu Piriyakulkij; Cristina Menghini; Ross Briden; Nihal V. Nayak; Jeffrey Zhu; Elaheh Raisi; Stephen H. Bach (MLSys, 2022)

Active Preference Inference using Language Models and Probabilistic Reasoning. - Top Piriyakulkij; Volodymyr Kuleshov; Kevin Ellis (CoRR, 2023)

Doing Experiments and Revising Rules with Natural Language and Probabilistic Reasoning. - Top Piriyakulkij; Cassidy Langenfeld; Tuan Anh Le 001; Kevin Ellis (NeurIPS, 2024)

Diffusion Variational Inference: Diffusion Models as Expressive Variational Posteriors. - Top Piriyakulkij; Yingheng Wang; Volodymyr Kuleshov (CoRR, 2024)

Doing Experiments and Revising Rules with Natural Language and Probabilistic Reasoning. - Top Piriyakulkij; Kevin Ellis (CoRR, 2024)

Denoising Diffusion Variational Inference: Diffusion Models as Expressive Variational Posteriors. - Wasu Top Piriyakulkij; Yingheng Wang; Volodymyr Kuleshov (AAAI, 2025)

PoE-World: Compositional World Modeling with Products of Programmatic Experts. - Wasu Top Piriyakulkij; Yichao Liang; Hao Tang 008; Adrian Weller; Marta Kryven; Kevin Ellis (CoRR, 2025)