Sina Alemohammad

Enhanced Recurrent Neural Tangent Kernels for Non-Time-Series Data

Richard Baraniuk, Randall Balestriero, Sina Alemohammad, 2020, 2012.04859.

Covariate Balancing Methods for Randomized Controlled Trials Are Not Adversarially Robust

Richard Baraniuk, Sina Alemohammad, H. Babaei, 2021, IEEE Transactions on Neural Networks and Learning Systems.

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

Zichao Wang, Richard G. Baraniuk, Ahmed Imtiaz Humayun, 2020, ICASSP 2021 - 2021 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

The Recurrent Neural Tangent Kernel pdf

Zichao Wang, Richard Baraniuk, Randall Balestriero, 2020, ICLR.

NeuroView-RNN: It’s About Time

Richard Baraniuk, Randall Balestriero, Sina Alemohammad, 2022, FAccT.

Self-Consuming Generative Models Go MAD

Ahmed Imtiaz Humayun, Richard Baraniuk, Daniel LeJeune, 2023, LatinX in AI at Neural Information Processing Systems Conference 2023.

Scalable Neural Tangent Kernel of Recurrent Architectures pdf

Zichao Wang, Richard Baraniuk, Randall Balestriero, 2020, ArXiv.

TITAN: Bringing The Deep Image Prior to Implicit Representations

Richard Baraniuk, Daniel LeJeune, Sina Alemohammad, 2022, 2211.00219.

One-Bit Compressed Sensing Using Smooth Measure of ℓ0 Norm

Arash Amini, Sina Alemohammad, A. Amini, 2019, 2019 13th International conference on Sampling Theory and Applications (SampTA).

NFT-K: Non-Fungible Tangent Kernels pdf

Richard G. Baraniuk, Blake Mason, Lorenzo Luzi, 2021, ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

An Adaptive Tangent Feature Perspective of Neural Networks

Daniel LeJeune, Sina Alemohammad, 2023, ArXiv.