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 001; Richard G. Baraniuk (ICASSP, 2021)

NFT-K: Non-Fungible Tangent Kernels. - Sina Alemohammad; Hossein Babaei; C. J. Barberan; Naiming Liu; Lorenzo Luzi; Blake Mason; Richard G. Baraniuk (ICASSP, 2022)

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 001; Richard G. Baraniuk (ICASSP, 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 (ICLR, 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., 2024)

SaFARi: State-Space Models for Frame-Agnostic Representation. - Hossein Babaei; Mel White; Sina Alemohammad; Richard G. Baraniuk (CoRR, 2025)

WaLRUS: Wavelets for Long-range Representation Using SSMs. - Hossein Babaei; Mel White; Sina Alemohammad; Richard G. Baraniuk (CoRR, 2025)

W4S4: WaLRUS Meets S4 for Long-Range Sequence Modeling. - Hossein Babaei; Mel White; Richard G. Baraniuk (CoRR, 2025)