How can i explain this to you? an empirical study of deep neural network explanation methods JV Jeyakumar, J Noor, YH Cheng, L Garcia, M Srivastava Advances in Neural Information Processing Systems 33, 4211-4222, 2020 | 224 | 2020 |
Automatic Concept Extraction for Concept Bottleneck-based Video Classification JV Jeyakumar, L Dickens, L Garcia, YH Cheng, DR Echavarria, J Noor, ... arXiv preprint arXiv:2206.10129, 2022 | 8 | 2022 |
flip-hoisting: Exploiting Repeated Parameters in Discrete Probabilistic Programs EY Cheng, T Millstein, GV Broeck, S Holtzen arXiv preprint arXiv:2110.10284, 2021 | 2 | 2021 |
Learning to Keep a Promise: Scaling Language Model Decoding Parallelism with Learned Asynchronous Decoding T Jin, EY Cheng, Z Ankner, N Saunshi, BM Elias, A Yazdanbakhsh, ... arXiv preprint arXiv:2502.11517, 2025 | | 2025 |
Inference Plans for Hybrid Particle Filtering EY Cheng, E Atkinson, G Baudart, L Mandel, M Carbin Proceedings of the ACM on Programming Languages 9 (POPL), 271-299, 2025 | | 2025 |
Verifying Performance Properties of Probabilistic Inference E Atkinson, EY Cheng, G Baudart, L Mandel, M Carbin arXiv preprint arXiv:2307.07355, 2023 | | 2023 |
Expressing and Exploiting Parallelism in Language Model Decoding T Jin, EY Cheng, M Carbin ICLR 2024 Workshop on Large Language Model (LLM) Agents, 0 | | |