Sina Alemohammad

According to our database, Sina Alemohammad authored at least 8 papers between 2020 and 2024.

Collaborative distances:

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

2024

Covariate Balancing Methods for Randomized Controlled Trials Are Not Adversarially Robust.

Hossein Babaei, Sina Alemohammad, Richard G. Baraniuk

IEEE Trans. Neural Networks Learn. Syst., April, 2024

2023

An Adaptive Tangent Feature Perspective of Neural Networks.

Daniel LeJeune, Sina Alemohammad

CoRR, 2023

Self-Consuming Generative Models Go MAD.

Sina Alemohammad, Josue Casco-Rodriguez, Lorenzo Luzi, Ahmed Imtiaz Humayun, Hossein Babaei, Daniel LeJeune, Ali Siahkoohi, Richard G. Baraniuk

CoRR, 2023

2022

NeuroView-RNN: It's About Time.

C. J. Barberan, Sina Alemohammad, Naiming Liu, Randall Balestriero, Richard G. Baraniuk

CoRR, 2022

NFT-K: Non-Fungible Tangent Kernels.

Sina Alemohammad, Hossein Babaei, C. J. Barberan, Naiming Liu, Lorenzo Luzi, Blake Mason, Richard G. Baraniuk

Proceedings of the IEEE International Conference on Acoustics, 2022

2021

The Recurrent Neural Tangent Kernel.

Sina Alemohammad, Zichao Wang, Randall Balestriero, Richard G. Baraniuk

Proceedings of the 9th International Conference on Learning Representations, 2021

Wearing A Mask: Compressed Representations of Variable-Length Sequences Using Recurrent Neural Tangent Kernels.

Sina Alemohammad, Hossein Babaei, Randall Balestriero, Matt Y. Cheung, Ahmed Imtiaz Humayun, Daniel LeJeune, Naiming Liu, Lorenzo Luzi, Jasper Tan, Zichao Wang, Richard G. Baraniuk

Proceedings of the IEEE International Conference on Acoustics, 2021

2020

Scalable Neural Tangent Kernel of Recurrent Architectures.

Sina Alemohammad, Randall Balestriero, Zichao Wang, Richard G. Baraniuk

CoRR, 2020