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ORCIDWasu Piriyakulkij
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2020 – today
- 2026
[i8]Wasu Top Piriyakulkij, Wolfgang Lehrach, Kevin Ellis, Kevin Murphy:
Joint Learning of Hierarchical Neural Options and Abstract World Model. CoRR abs/2602.02799 (2026)- [i7]Cassidy Langenfeld, Claas Beger, Gloria Geng, Wasu Top Piriyakulkij, Keya Hu, Yewen Pu, Kevin Ellis:
Bongards at the Boundary of Perception and Reasoning: Programs or Language? CoRR abs/2602.03038 (2026) - [i6]Jeffrey Qin, Wasu Top Piriyakulkij, Zhuangfei Gao, Mia Radovanovic, Jessica A. Sommerville, Kevin Ellis, Marta Kryven:
Hypothesis Generation and Inductive Inference in Children and Language Models. CoRR abs/2605.24528 (2026) - 2025
- [c4]Wasu Top Piriyakulkij, Yingheng Wang, Volodymyr Kuleshov:
Denoising Diffusion Variational Inference: Diffusion Models as Expressive Variational Posteriors. AAAI 2025: 19921-19930 - [i5]Wasu Top Piriyakulkij, Yichao Liang, Hao Tang, Adrian Weller, Marta Kryven, Kevin Ellis:
PoE-World: Compositional World Modeling with Products of Programmatic Experts. CoRR abs/2505.10819 (2025) - 2024
- [c3]Top Piriyakulkij, Kevin Ellis:
Doing Experiments and Revising Rules with Natural Language and Probabilistic Reasoning. CogSci 2024 - [c2]Top Piriyakulkij, Cassidy Langenfeld, Tuan Anh Le, Kevin Ellis:
Doing Experiments and Revising Rules with Natural Language and Probabilistic Reasoning. NeurIPS 2024 - [i4]Top Piriyakulkij, Yingheng Wang, Volodymyr Kuleshov:
Diffusion Variational Inference: Diffusion Models as Expressive Variational Posteriors. CoRR abs/2401.02739 (2024) - [i3]Top Piriyakulkij, Kevin Ellis:
Doing Experiments and Revising Rules with Natural Language and Probabilistic Reasoning. CoRR abs/2402.06025 (2024) - 2023
- [i2]Top Piriyakulkij, Volodymyr Kuleshov, Kevin Ellis:
Active Preference Inference using Language Models and Probabilistic Reasoning. CoRR abs/2312.12009 (2023) - 2022
- [c1]Wasu Piriyakulkij, Cristina Menghini, Ross Briden, Nihal V. Nayak, Jeffrey Zhu, Elaheh Raisi, Stephen H. Bach:
TAGLETS: A System for Automatic Semi-Supervised Learning with Auxiliary Data. MLSys 2022 - 2021
- [i1]Wasu Piriyakulkij, Cristina Menghini, Ross Briden, Nihal V. Nayak, Jeffrey Zhu, Elaheh Raisi, Stephen H. Bach:
TAGLETS: A System for Automatic Semi-Supervised Learning with Auxiliary Data. CoRR abs/2111.04798 (2021)
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