Brooks, David

7 publications

ICLR 2024 Guess & Sketch: Language Model Guided Transpilation Celine Lee, Abdulrahman Mahmoud, Michal Kurek, Simone Campanoni, David Brooks, Stephen Chong, Gu-Yeon Wei, Alexander M Rush

TMLR 2024 Tabula: Efficiently Computing Nonlinear Activation Functions for Secure Neural Network Inference Max Lam, Michael Mitzenmacher, Vijay Janapa Reddi, Gu-Yeon Wei, David Brooks

NeurIPS 2023 $s^3$: Increasing GPU Utilization During Generative Inference for Higher Throughput Yunho Jin, Chun-Feng Wu, David Brooks, Gu-Yeon Wei

NeurIPS 2023 Hardware Resilience Properties of Text-Guided Image Classifiers Syed Talal Wasim, Kabila Haile Soboka, Abdulrahman Mahmoud, Salman H Khan, David Brooks, Gu-Yeon Wei

ICMLW 2023 SpeedLimit: Neural Architecture Search for Quantized Transformer Models Yuji Chai, Luke Bailey, Yunho Jin, Glenn Ko, Matthew Karle, David Brooks, Gu-Yeon Wei, H. Kung

ICML 2021 Gradient Disaggregation: Breaking Privacy in Federated Learning by Reconstructing the User Participant Matrix Maximilian Lam, Gu-Yeon Wei, David Brooks, Vijay Janapa Reddi, Michael Mitzenmacher

ICML 2018 Weightless: Lossy Weight Encoding for Deep Neural Network Compression Brandon Reagan, Udit Gupta, Bob Adolf, Michael Mitzenmacher, Alexander Rush, Gu-Yeon Wei, David Brooks