Research

NeuroView-RNN: It's About Time. C. Barberan, S. Alemmohammad, N. Liu, R. Balestriero, R. G. Baraniuk, ACM Fairness Accountability & Transparency (FAccT) 2022. https://arxiv.org/pdf/2202.11811.pdf

NeuroView: Explainable Deep Network Decision Making, (2021) C. Barberan, R. Balestriero, R. G. Baraniuk, https://arxiv.org/abs/2110.07778

NFT-K: Non-Fungible Tangent Kernels, (2021) S. Alemohammad, H. Babaei, C. Barberan, N. Liu, L. Luzi, B. Mason, R. G. Baraniuk, ICASSP 2022-2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP). IEEE, 2022 https://arxiv.org/abs/2110.04945

Elworth, RA Leo, et al. "To petabytes and beyond: recent advances in probabilistic and signal processing algorithms and their application to metagenomics." Nucleic Acids Research 48.10 (2020): 5217-5234. https://academic.oup.com/nar/article/48/10/5217/5825624

Multi-Task Deep Learning Model for Improved Histopathology Prediction from In-Vivo Microscopy Images (LatinX Workshop, NeurIPS 2019) D. Brenes, C. Barberan, B. Hunt, R. G. Baraniuk, R. Richards-Kortum