Wasu Piriyakulkij

According to our database, Wasu Piriyakulkij authored at least 10 papers between 2022 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

Hypothesis Generation and Inductive Inference in Children and Language Models.

Jeffrey Qin, Wasu Top Piriyakulkij, Zhuangfei Gao, Mia Radovanovic, Jessica A. Sommerville, Kevin Ellis, Marta Kryven

CoRR, May, 2026

Bongards at the Boundary of Perception and Reasoning: Programs or Language?

Cassidy Langenfeld, Claas Beger, Gloria Geng, Wasu Top Piriyakulkij, Keya Hu, Yewen Pu, Kevin Ellis

CoRR, February, 2026

Joint Learning of Hierarchical Neural Options and Abstract World Model.

Wasu Top Piriyakulkij, Wolfgang Lehrach, Kevin Ellis, Kevin Murphy

CoRR, February, 2026

2025

PoE-World: Compositional World Modeling with Products of Programmatic Experts.

Wasu Top Piriyakulkij, Yichao Liang, Hao Tang, Adrian Weller, Marta Kryven, Kevin Ellis

CoRR, May, 2025

Denoising Diffusion Variational Inference: Diffusion Models as Expressive Variational Posteriors.

Wasu Top Piriyakulkij, Yingheng Wang, Volodymyr Kuleshov

Proceedings of the Thirty-Ninth AAAI Conference on Artificial Intelligence, 2025

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, Cassidy Langenfeld, Tuan Anh Le, Kevin Ellis

Proceedings of the Advances in Neural Information Processing Systems 37: Annual Conference on Neural Information Processing Systems 2024, 2024

Doing Experiments and Revising Rules with Natural Language and Probabilistic Reasoning.

Top Piriyakulkij, Kevin Ellis

Proceedings of the 46th Annual Meeting of the Cognitive Science Society, 2024

2023

Active Preference Inference using Language Models and Probabilistic Reasoning.

Top Piriyakulkij, Volodymyr Kuleshov, Kevin Ellis

CoRR, 2023

2022

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

Proceedings of the Fifth Conference on Machine Learning and Systems, 2022