Aiken, Alex

10 publications

ICML 2025 Improving Parallel Program Performance with LLM Optimizers via Agent-System Interfaces Anjiang Wei, Allen Nie, Thiago S. F. X. Teixeira, Rohan Yadav, Wonchan Lee, Ke Wang, Alex Aiken

ICML 2023 On the Correctness of Automatic Differentiation for Neural Networks with Machine-Representable Parameters Wonyeol Lee, Sejun Park, Alex Aiken

CVPR 2023 Putting People in Their Place: Affordance-Aware Human Insertion into Scenes Sumith Kulal, Tim Brooks, Alex Aiken, Jiajun Wu, Jimei Yang, Jingwan Lu, Alexei A. Efros, Krishna Kumar Singh

TMLR 2023 Training with Mixed-Precision Floating-Point Assignments Wonyeol Lee, Rahul Sharma, Alex Aiken

CVPR 2022 Programmatic Concept Learning for Human Motion Description and Synthesis Sumith Kulal, Jiayuan Mao, Alex Aiken, Jiajun Wu

CVPR 2021 Hierarchical Motion Understanding via Motion Programs Sumith Kulal, Jiayuan Mao, Alex Aiken, Jiajun Wu

NeurIPS 2019 SPoC: Search-Based Pseudocode to Code Sumith Kulal, Panupong Pasupat, Kartik Chandra, Mina Lee, Oded Padon, Alex Aiken, Percy Liang

ICML 2018 Exploring Hidden Dimensions in Accelerating Convolutional Neural Networks Zhihao Jia, Sina Lin, Charles R. Qi, Alex Aiken

ICML 2006 Statistical Debugging: Simultaneous Identification of Multiple Bugs Alice X. Zheng, Michael I. Jordan, Ben Liblit, Mayur Naik, Alex Aiken

NeurIPS 2003 Statistical Debugging of Sampled Programs Alice X. Zheng, Michael I. Jordan, Ben Liblit, Alex Aiken