Sina Alemohammad

According to our database, Sina Alemohammad authored at least 16 papers between 2020 and 2026.

Collaborative distances:

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

2026

Not All Synthetic Data Is Yours to Learn From.

Sina Alemohammad, Li Chen, Richard G. Baraniuk, Zhangyang Wang

CoRR, May, 2026

Minimizing Collateral Damage in Activation Steering.

Tam Nguyen, Tu Anh Nguyen, Sina Alemohammad, Richard G. Baraniuk

CoRR, May, 2026

2025

Neon: Negative Extrapolation From Self-Training Improves Image Generation.

Sina Alemohammad, Zhangyang Wang, Richard G. Baraniuk

CoRR, October, 2025

WaLRUS: Wavelets for Long-range Representation Using SSMs.

Hossein Babaei, Mel White, Sina Alemohammad, Richard G. Baraniuk

CoRR, May, 2025

SaFARi: State-Space Models for Frame-Agnostic Representation.

Hossein Babaei, Mel White, Sina Alemohammad, Richard G. Baraniuk

Trans. Mach. Learn. Res., 2025

WaLRUS: Wavelets for Long range Representation Using State Space Methods.

Hossein Babaei, Mel White, Sina Alemohammad, Richard G. Baraniuk

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2025, 2025

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

Self-Improving Diffusion Models with Synthetic Data.

Sina Alemohammad, Ahmed Imtiaz Humayun, Shruti Agarwal, John P. Collomosse, Richard G. Baraniuk

CoRR, 2024

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

Proceedings of the Twelfth International Conference on Learning Representations, 2024

Titan: Bringing the Deep Image Prior to Implicit Representations.

Lorenzo Luzi, Daniel LeJeune, Ali Siahkoohi, Sina Alemohammad, Vishwanath Saragadam, Hossein Babaei, Naiming Liu, Zichao Wang, Richard G. Baraniuk

Proceedings of the IEEE International Conference on Acoustics, 2024

An Adaptive Tangent Feature Perspective of Neural Networks.

Daniel LeJeune, Sina Alemohammad

Proceedings of the Conference on Parsimony and Learning, 2024

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

NeuroView-RNN: It's About Time.

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

Proceedings of the FAccT '22: 2022 ACM Conference on Fairness, Accountability, and Transparency, Seoul, Republic of Korea, June 21, 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