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Yewen Pu
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2020 – today
- 2024
- [c24]William P. McCarthy
, Justin Matejka
Communicating Design Intent Using Drawing and Text. Creativity & Cognition 2024: 512-519 - [c23]Sifan Wu, Amir Hosein Khasahmadi, Mor Katz, Pradeep Kumar Jayaraman, Yewen Pu, Karl D. D. Willis, Bang Liu:
CadVLM: Bridging Language and Vision in the Generation of Parametric CAD Sketches. ECCV (70) 2024: 368-384 - [c22]Saujas Vaduguru, Daniel Fried, Yewen Pu:
Generating Pragmatic Examples to Train Neural Program Synthesizers. ICLR 2024 - [c21]Ruocheng Wang, Eric Zelikman, Gabriel Poesia, Yewen Pu, Nick Haber, Noah D. Goodman:
Hypothesis Search: Inductive Reasoning with Language Models. ICLR 2024 - [c20]Yewen Pu, Saujas Vaduguru, Priyan Vaithilingam, Elena L. Glassman, Daniel Fried:
Amortizing Pragmatic Program Synthesis with Rankings. ICML 2024 - [i24]Xianghao Xu, Aditya Ganeshan, Karl D. D. Willis, Yewen Pu, Daniel Ritchie:
Creating Language-driven Spatial Variations of Icon Images. CoRR abs/2405.19636 (2024) - [i23]Yewen Pu, Saujas Vaduguru, Priyan Vaithilingam, Elena L. Glassman, Daniel Fried:
Amortizing Pragmatic Program Synthesis with Rankings. CoRR abs/2407.02499 (2024) - [i22]Yutong Wu, Di Huang, Wenxuan Shi, Wei Wang, Lingzhe Gao, Shihao Liu, Ziyuan Nan, Kaizhao Yuan, Rui Zhang, Xishan Zhang, Zidong Du, Qi Guo, Yewen Pu, Dawei Yin, Xing Hu, Yunji Chen:
InverseCoder: Unleashing the Power of Instruction-Tuned Code LLMs with Inverse-Instruct. CoRR abs/2407.05700 (2024) - [i21]Sifan Wu, Amir Khasahmadi, Mor Katz, Pradeep Kumar Jayaraman, Yewen Pu, Karl D. D. Willis, Bang Liu:
CadVLM: Bridging Language and Vision in the Generation of Parametric CAD Sketches. CoRR abs/2409.17457 (2024) - 2023
- [c19]Zhiao Huang, Feng Chen, Yewen Pu, Chunru Lin, Hao Su, Chuang Gan:
DiffVL: Scaling Up Soft Body Manipulation using Vision-Language Driven Differentiable Physics. NeurIPS 2023 - [c18]Di Huang, Ziyuan Nan, Xing Hu, Pengwei Jin, Shaohui Peng, Yuanbo Wen, Rui Zhang, Zidong Du, Qi Guo, Yewen Pu, Yunji Chen:
ANPL: Towards Natural Programming with Interactive Decomposition. NeurIPS 2023 - [i20]Di Huang, Ziyuan Nan, Xing Hu, Pengwei Jin, Shaohui Peng, Yuanbo Wen, Rui Zhang, Zidong Du, Qi Guo, Yewen Pu, Yunji Chen:
ANPL: Compiling Natural Programs with Interactive Decomposition. CoRR abs/2305.18498 (2023) - [i19]Priyan Vaithilingam, Yewen Pu, Elena L. Glassman:
The Usability of Pragmatic Communication in Regular Expression Synthesis. CoRR abs/2308.06656 (2023) - [i18]Ruocheng Wang, Eric Zelikman, Gabriel Poesia, Yewen Pu, Nick Haber, Noah D. Goodman:
Hypothesis Search: Inductive Reasoning with Language Models. CoRR abs/2309.05660 (2023) - [i17]Leonardo Hernandez Cano, Yewen Pu, Robert D. Hawkins, Joshua B. Tenenbaum, Armando Solar-Lezama:
Learning a Hierarchical Planner from Humans in Multiple Generations. CoRR abs/2310.11614 (2023) - [i16]Saujas Vaduguru, Daniel Fried, Yewen Pu:
Generating Pragmatic Examples to Train Neural Program Synthesizers. CoRR abs/2311.05740 (2023) - [i15]Zhiao Huang, Feng Chen, Yewen Pu, Chunru Lin, Hao Su, Chuang Gan:
DiffVL: Scaling Up Soft Body Manipulation using Vision-Language Driven Differentiable Physics. CoRR abs/2312.06408 (2023) - 2022
- [c17]Ning Shi, Bin Tang, Bo Yuan, Longtao Huang, Yewen Pu, Jie Fu, Zhouhan Lin:
Text Editing as Imitation Game. EMNLP (Findings) 2022: 1583-1594 - [c16]Samuel Acquaviva, Yewen Pu, Marta Kryven, Theodoros Sechopoulos, Catherine Wong, Gabrielle E. Ecanow, Maxwell I. Nye, Michael Henry Tessler, Josh Tenenbaum:
Communicating Natural Programs to Humans and Machines. NeurIPS 2022 - [i14]Saujas Vaduguru, Kevin Ellis, Yewen Pu:
Efficient Pragmatic Program Synthesis with Informative Specifications. CoRR abs/2204.02495 (2022) - [i13]Ning Shi, Bin Tang, Bo Yuan, Longtao Huang, Yewen Pu, Jie Fu, Zhouhan Lin:
Text Editing as Imitation Game. CoRR abs/2210.12276 (2022) - 2021
- [j2]Karl D. D. Willis, Yewen Pu, Jieliang Luo, Hang Chu, Tao Du, Joseph G. Lambourne, Armando Solar-Lezama
Fusion 360 gallery: a dataset and environment for programmatic CAD construction from human design sequences. ACM Trans. Graph. 40(4): 54:1-54:24 (2021) - [c15]Samuel Acquaviva, Yewen Pu, Maxwell I. Nye, Catherine Wong, Michael Henry Tessler, Josh Tenenbaum:
LARC: Language annotated Abstraction and Reasoning Corpus. CogSci 2021 - [c14]Gabrielle E. Ecanow, Catherine Wong, Samuel Acquaviva, Yewen Pu, Marta Kryven, Josh Tenenbaum:
Core knowledge objects in reasoning and language use for highly abstract inductive tasks. CogSci 2021 - [c13]Karl D. D. Willis, Pradeep Kumar Jayaraman, Joseph G. Lambourne, Hang Chu, Yewen Pu:
Engineering Sketch Generation for Computer-Aided Design. CVPR Workshops 2021: 2105-2114 - [c12]Maxwell I. Nye, Yewen Pu, Matthew Bowers, Jacob Andreas, Joshua B. Tenenbaum, Armando Solar-Lezama
Representing Partial Programs with Blended Abstract Semantics. ICLR 2021 - [c11]Yichen Yang, Jeevana Priya Inala, Osbert Bastani, Yewen Pu, Armando Solar-Lezama, Martin C. Rinard:
Program Synthesis Guided Reinforcement Learning for Partially Observed Environments. NeurIPS 2021: 29669-29683 - [i12]Jeevana Priya Inala, Yichen Yang, James Paulos, Yewen Pu, Osbert Bastani, Vijay Kumar, Martin C. Rinard, Armando Solar-Lezama:
Neurosymbolic Transformers for Multi-Agent Communication. CoRR abs/2101.03238 (2021) - [i11]Yichen Yang, Jeevana Priya Inala, Osbert Bastani, Yewen Pu, Armando Solar-Lezama, Martin C. Rinard:
Program Synthesis Guided Reinforcement Learning. CoRR abs/2102.11137 (2021) - [i10]Karl D. D. Willis, Pradeep Kumar Jayaraman, Joseph G. Lambourne, Hang Chu, Yewen Pu:
Engineering Sketch Generation for Computer-Aided Design. CoRR abs/2104.09621 (2021) - [i9]Samuel Acquaviva, Yewen Pu, Marta Kryven, Catherine Wong, Gabrielle E. Ecanow, Maxwell I. Nye, Theodoros Sechopoulos, Michael Henry Tessler, Joshua B. Tenenbaum:
Communicating Natural Programs to Humans and Machines. CoRR abs/2106.07824 (2021) - 2020
- [c10]Jeevana Priya Inala, Yichen Yang, James Paulos, Yewen Pu, Osbert Bastani, Vijay Kumar, Martin C. Rinard, Armando Solar-Lezama
Neurosymbolic Transformers for Multi-Agent Communication. NeurIPS 2020 - [c9]Yewen Pu, Kevin Ellis, Marta Kryven, Josh Tenenbaum, Armando Solar-Lezama
Program Synthesis with Pragmatic Communication. NeurIPS 2020 - [i8]Yewen Pu, Kevin Ellis, Marta Kryven
Program Synthesis with Pragmatic Communication. CoRR abs/2007.05060 (2020) - [i7]Karl D. D. Willis, Yewen Pu, Jieliang Luo, Hang Chu, Tao Du, Joseph G. Lambourne, Armando Solar-Lezama, Wojciech Matusik:
Fusion 360 Gallery: A Dataset and Environment for Programmatic CAD Reconstruction. CoRR abs/2010.02392 (2020) - [i6]Maxwell I. Nye, Yewen Pu, Matthew Bowers, Jacob Andreas, Joshua B. Tenenbaum, Armando Solar-Lezama:
Representing Partial Programs with Blended Abstract Semantics. CoRR abs/2012.12964 (2020)
2010 – 2019
- 2019
- [c8]Kevin Ellis, Maxwell I. Nye, Yewen Pu, Felix Sosa, Josh Tenenbaum, Armando Solar-Lezama
Write, Execute, Assess: Program Synthesis with a REPL. NeurIPS 2019: 9165-9174 - [c7]Charith Mendis, Cambridge Yang, Yewen Pu, Saman P. Amarasinghe, Michael Carbin:
Compiler Auto-Vectorization with Imitation Learning. NeurIPS 2019: 14598-14609 - [i5]Kevin Ellis, Maxwell I. Nye, Yewen Pu, Felix Sosa, Josh Tenenbaum, Armando Solar-Lezama:
Write, Execute, Assess: Program Synthesis with a REPL. CoRR abs/1906.04604 (2019) - 2018
- [j1]Tao Du, Jeevana Priya Inala, Yewen Pu, Andrew Spielberg, Adriana Schulz
InverseCSG: automatic conversion of 3D models to CSG trees. ACM Trans. Graph. 37(6): 213 (2018) - [c6]Yewen Pu, Zachery Miranda, Armando Solar-Lezama
Selecting Representative Examples for Program Synthesis. ICML 2018: 4158-4167 - [c5]Osbert Bastani, Yewen Pu, Armando Solar-Lezama
Verifiable Reinforcement Learning via Policy Extraction. NeurIPS 2018: 2499-2509 - [i4]Osbert Bastani, Yewen Pu, Armando Solar-Lezama:
Verifiable Reinforcement Learning via Policy Extraction. CoRR abs/1805.08328 (2018) - 2017
- [c4]Yewen Pu, Leslie Pack Kaelbling, Armando Solar-Lezama
Learning to Acquire Information. UAI 2017 - [i3]Yewen Pu, Leslie Pack Kaelbling, Armando Solar-Lezama:
Learning to Acquire Information. CoRR abs/1704.06131 (2017) - [i2]Yewen Pu, Zachery Miranda, Armando Solar-Lezama, Leslie Pack Kaelbling:
Learning to select examples for program synthesis. CoRR abs/1711.03243 (2017) - 2016
- [c3]Yewen Pu, Karthik Narasimhan, Armando Solar-Lezama
sk_p: a neural program corrector for MOOCs. SPLASH (Companion Volume) 2016: 39-40 - [i1]Yewen Pu, Karthik Narasimhan, Armando Solar-Lezama, Regina Barzilay:
sk_p: a neural program corrector for MOOCs. CoRR abs/1607.02902 (2016) - 2013
- [c2]Ali Sinan Köksal, Yewen Pu, Saurabh Srivastava, Rastislav Bodík, Jasmin Fisher
Synthesis of biological models from mutation experiments. POPL 2013: 469-482 - 2011
- [c1]Yewen Pu, Rastislav Bodík, Saurabh Srivastava:
Synthesis of first-order dynamic programming algorithms. OOPSLA 2011: 83-98
Coauthor Index
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last updated on 2024-12-11 20:46 CET by the dblp team
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