Keivan Alizadeh-Vahid

According to our database, Keivan Alizadeh-Vahid authored at least 9 papers between 2019 and 2024.

Collaborative distances:

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

2024

eDKM: An Efficient and Accurate Train-Time Weight Clustering for Large Language Models.

Minsik Cho, Keivan Alizadeh-Vahid, Qichen Fu, Saurabh Adya, Carlo C. Del Mundo, Mohammad Rastegari, Devang Naik, Peter Zatloukal

IEEE Comput. Archit. Lett., 2024

2023

FLUID: A Unified Evaluation Framework for Flexible Sequential Data.

Matthew Wallingford, Aditya Kusupati, Keivan Alizadeh-Vahid, Aaron Walsman, Aniruddha Kembhavi, Ali Farhadi

Trans. Mach. Learn. Res., 2023

LLM in a flash: Efficient Large Language Model Inference with Limited Memory.

Keivan Alizadeh, Iman Mirzadeh, Dmitry Belenko, Karen Khatamifard, Minsik Cho, Carlo C. Del Mundo, Mohammad Rastegari, Mehrdad Farajtabar

CoRR, 2023

ReLU Strikes Back: Exploiting Activation Sparsity in Large Language Models.

Iman Mirzadeh, Keivan Alizadeh, Sachin Mehta, Carlo C. Del Mundo, Oncel Tuzel, Golnoosh Samei, Mohammad Rastegari, Mehrdad Farajtabar

CoRR, 2023

2022

DKM: Differentiable k-Means Clustering Layer for Neural Network Compression.

Minsik Cho, Keivan Alizadeh-Vahid, Saurabh Adya, Mohammad Rastegari

Proceedings of the Tenth International Conference on Learning Representations, 2022

2020

Recurrent Poisson Factorization for Temporal Recommendation.

Seyed Abbas Hosseini, Ali Khodadadi, Keivan Alizadeh, Ali Arabzadeh, Mehrdad Farajtabar, Hongyuan Zha, Hamid R. Rabiee

IEEE Trans. Knowl. Data Eng., 2020

In the Wild: From ML Models to Pragmatic ML Systems.

Matthew Wallingford, Aditya Kusupati, Keivan Alizadeh-Vahid, Aaron Walsman, Aniruddha Kembhavi, Ali Farhadi

CoRR, 2020

Butterfly Transform: An Efficient FFT Based Neural Architecture Design.

Keivan Alizadeh-Vahid, Anish Prabhu, Ali Farhadi, Mohammad Rastegari

Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

2019

Butterfly Transform: An Efficient FFT Based Neural Architecture Design.

Keivan Alizadeh, Ali Farhadi, Mohammad Rastegari

CoRR, 2019