Fast Convolutive Nonnegative Matrix Factorization Through Coordinate and Block Coordinate Updates. - Anthony Degleris; Ben Antin; Surya Ganguli; Alex H. Williams (CoRR, 2019)

Point process models for sequence detection in high-dimensional neural spike trains. - Alex H. Williams; Anthony Degleris; Yixin Wang; Scott W. Linderman (NeurIPS, 2020)

A Provably Correct and Robust Algorithm for Convolutive Nonnegative Matrix Factorization. - Anthony Degleris; Nicolas Gillis (IEEE Trans. Signal Process., 2020)

Spatiotemporal Clustering with Neyman-Scott Processes via Connections to Bayesian Nonparametric Mixture Models. - Yixin Wang; Anthony Degleris; Alex H. Williams; Scott W. Linderman (CoRR, 2022)

Equitable dynamic electricity pricing via implicitly constrained dual and subgradient methods. - Emmanuel Balogun; Sonia Martin; Anthony Degleris; Ram Rajagopal (SmartGridComm, 2023)

Dynamic locational marginal emissions via implicit differentiation. - Lucas Fuentes Valenzuela; Anthony Degleris; Abbas El Gamal; Marco Pavone 001; Ram Rajagopal (CoRR, 2023)

Fast Grid Emissions Sensitivities using Parallel Decentralized Implicit Differentiation. - Anthony Degleris; Lucas Fuentes Valenzuela; Ram Rajagopal; Marco Pavone 001; Abbas El Gamal (SmartGridComm, 2024)

Gradient Methods for Scalable Multi-value Electricity Network Expansion Planning. - Anthony Degleris; Abbas El Gamal; Ram Rajagopal (CoRR, 2024)