Jesse Cai

According to our database, Jesse Cai authored at least 4 papers between 2021 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

To 2:4 Sparsity and Beyond: Neuron-level Activation Function to Accelerate LLM Pre-Training.

Meghana Madhyastha, Daniel Haziza, Jesse Cai, Newsha Ardalani, Zhiqi Bu, Carole-Jean Wu

CoRR, February, 2026

2025

TorchAO: PyTorch-Native Training-to-Serving Model Optimization.

Andrew Or, Apurva Jain, Daniel Vega-Myhre, Jesse Cai, Charles David Hernandez, Zhenrui Zheng, Driss Guessous, Vasiliy Kuznetsov, Christian Puhrsch, Mark Saroufim, Supriya Rao, Thien Tran, Aleksandar Samardzic

CoRR, July, 2025

Accelerating Transformer Inference and Training with 2:4 Activation Sparsity.

Daniel Haziza, Timothy Chou, Dhruv Choudhary, Luca Wehrstedt, Francisco Massa, Jiecao Yu, Geonhwa Jeong, Supriya Rao, Patrick Labatut, Jesse Cai

CoRR, March, 2025

2021

Mars Image Content Classification: Three Years of NASA Deployment and Recent Advances.

Kiri Wagstaff, Steven Lu, Emily Dunkel, Kevin Grimes, Brandon Zhao, Jesse Cai, Shoshanna B. Cole, Gary Doran, Raymond Francis, Jake H. Lee, Lukas Mandrake

Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021