Felix Chern

According to our database, Felix Chern authored at least 7 papers between 2019 and 2025.

Collaborative distances:

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

2025

EQuARX: Efficient Quantized AllReduce in XLA for Distributed Machine Learning Acceleration.

Ibrahim Ahmed, Clemens Schaefer, Gil Tabak, Denis Vnukov, Zenong Zhang, Felix Chern, Anatoliy Yevtushenko, Andy Davis

CoRR, June, 2025

Spark Transformer: Reactivating Sparsity in FFN and Attention.

Chong You, Kan Wu, Zhipeng Jia, Lin Chen, Srinadh Bhojanapalli, Jiaxian Guo, Utku Evci, Jan Wassenberg, Praneeth Netrapalli, Jeremiah J. Willcock, Suvinay Subramanian, Felix Chern, Alek Andreev, Shreya Pathak, Felix X. Yu, Prateek Jain, David E. Culler, Henry M. Levy, Sanjiv Kumar

CoRR, June, 2025

2023

The Lazy Neuron Phenomenon: On Emergence of Activation Sparsity in Transformers.

Zonglin Li, Chong You, Srinadh Bhojanapalli, Daliang Li, Ankit Singh Rawat, Sashank J. Reddi, Ke Ye, Felix Chern, Felix X. Yu, Ruiqi Guo, Sanjiv Kumar

Proceedings of the Eleventh International Conference on Learning Representations, 2023

2022

Large Models are Parsimonious Learners: Activation Sparsity in Trained Transformers.

Zonglin Li, Chong You, Srinadh Bhojanapalli, Daliang Li, Ankit Singh Rawat, Sashank J. Reddi, Ke Ye, Felix Chern, Felix X. Yu, Ruiqi Guo, Sanjiv Kumar

CoRR, 2022

TPU-KNN: K Nearest Neighbor Search at Peak FLOP/s.

Felix Chern, Blake Hechtman, Andy Davis, Ruiqi Guo, David Majnemer, Sanjiv Kumar

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

2020

Accelerating Large-Scale Inference with Anisotropic Vector Quantization.

Ruiqi Guo, Philip Sun, Erik Lindgren, Quan Geng, David Simcha, Felix Chern, Sanjiv Kumar

Proceedings of the 37th International Conference on Machine Learning, 2020

2019

New Loss Functions for Fast Maximum Inner Product Search.

Ruiqi Guo, Quan Geng, David Simcha, Felix Chern, Sanjiv Kumar, Xiang Wu

CoRR, 2019