Sina Alemohammad

20 papers A* 2Misc 3Journal 13Unranked 2
YearRankTypeTitle / Venue / Authors
2025 J jnl
Neon: Negative Extrapolation From Self-Training Improves Image Generation.
CoRR
Sina Alemohammad, Zhangyang Wang, Richard G. Baraniuk
2025 J jnl
SaFARi: State-Space Models for Frame-Agnostic Representation.
CoRR
Hossein Babaei, Mel White, Sina Alemohammad, Richard G. Baraniuk
2025 J jnl
SaFARi: State-Space Models for Frame-Agnostic Representation.
Trans. Mach. Learn. Res.
Hossein Babaei, Mel White, Sina Alemohammad, Richard G. Baraniuk
2025 J jnl
WaLRUS: Wavelets for Long-range Representation Using SSMs.
CoRR
Hossein Babaei, Mel White, Sina Alemohammad, Richard G. Baraniuk
2024 — conf
An Adaptive Tangent Feature Perspective of Neural Networks.
CPAL
Daniel LeJeune, Sina Alemohammad
2024 J jnl
Covariate Balancing Methods for Randomized Controlled Trials Are Not Adversarially Robust.
IEEE Trans. Neural Networks Learn. Syst.
Hossein Babaei, Sina Alemohammad, Richard G. Baraniuk
2024 A* conf
Self-Consuming Generative Models Go MAD.
ICLR
Sina Alemohammad, Josue Casco-Rodriguez, Lorenzo Luzi, Ahmed Imtiaz Humayun, Hossein Babaei, Daniel LeJeune, Ali Siahkoohi, Richard G. Baraniuk
2024 J jnl
Self-Improving Diffusion Models with Synthetic Data.
CoRR
Sina Alemohammad, Ahmed Imtiaz Humayun, Shruti Agarwal, John P. Collomosse, Richard G. Baraniuk
2024 Misc conf
Titan: Bringing the Deep Image Prior to Implicit Representations.
ICASSP
Lorenzo Luzi, Daniel LeJeune, Ali Siahkoohi, Sina Alemohammad, Vishwanath Saragadam, Hossein Babaei, Naiming Liu, Zichao Wang, Richard G. Baraniuk
2023 J jnl
An Adaptive Tangent Feature Perspective of Neural Networks.
CoRR
Daniel LeJeune, Sina Alemohammad
2023 J jnl
Self-Consuming Generative Models Go MAD.
CoRR
Sina Alemohammad, Josue Casco-Rodriguez, Lorenzo Luzi, Ahmed Imtiaz Humayun, Hossein Babaei, Daniel LeJeune, Ali Siahkoohi, Richard G. Baraniuk
2022 Misc conf
NFT-K: Non-Fungible Tangent Kernels.
ICASSP
Sina Alemohammad, Hossein Babaei, C. J. Barberan, Naiming Liu, Lorenzo Luzi, Blake Mason, Richard G. Baraniuk
2022 — conf
NeuroView-RNN: It's About Time.
FAccT
C. J. Barberan, Sina Alemohammad, Naiming Liu, Randall Balestriero, Richard G. Baraniuk
2022 J jnl
NeuroView-RNN: It's About Time.
CoRR
C. J. Barberan, Sina Alemohammad, Naiming Liu, Randall Balestriero, Richard G. Baraniuk
2021 J jnl
NFT-K: Non-Fungible Tangent Kernels.
CoRR
Sina Alemohammad, Hossein Babaei, C. J. Barberan, Naiming Liu, Lorenzo Luzi, Blake Mason, Richard G. Baraniuk
2021 A* conf
The Recurrent Neural Tangent Kernel.
ICLR
Sina Alemohammad, Zichao Wang, Randall Balestriero, Richard G. Baraniuk
2021 Misc conf
Wearing A Mask: Compressed Representations of Variable-Length Sequences Using Recurrent Neural Tangent Kernels.
ICASSP
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
2020 J jnl
Scalable Neural Tangent Kernel of Recurrent Architectures.
CoRR
Sina Alemohammad, Randall Balestriero, Zichao Wang, Richard G. Baraniuk
2020 J jnl
The Recurrent Neural Tangent Kernel.
CoRR
Sina Alemohammad, Zichao Wang, Randall Balestriero, Richard G. Baraniuk
2020 J jnl
Wearing a MASK: Compressed Representations of Variable-Length Sequences Using Recurrent Neural Tangent Kernels.
CoRR
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