Graph theory for the discovery of non-parametric audio objects. - Christopher Srinivasa; Martin Bouchard 001; Ramin Pichevar; Hossein Najaf-Zadeh (ISSPA, 2012)

Integration of auditory masks into a Locally Competitive Algorithm for sparse representations of audio signals. - Christopher Srinivasa; Ramin Pichevar; Hossein Najaf-Zadeh; Martin Bouchard 001 (ISSPA, 2012)

Min-Max Problems on Factor Graphs. - Siamak Ravanbakhsh; Christopher Srinivasa; Brendan J. Frey; Russell Greiner (ICML, 2014)

Survey Propagation beyond Constraint Satisfaction Problems. - Christopher Srinivasa; Siamak Ravanbakhsh; Brendan J. Frey (AISTATS, 2016)

Min-Max Propagation. - Christopher Srinivasa; Inmar E. Givoni; Siamak Ravanbakhsh; Brendan J. Frey (NIPS, 2017)

Parity Partition Coding for Sharp Multi-Label Classification. - Christopher G. Blake; Giuseppe Castiglione; Christopher Srinivasa; Marcus A. Brubaker (CoRR, 2019)

PUMA: Performance Unchanged Model Augmentation for Training Data Removal. - Ga Wu; Masoud Hashemi; Christopher Srinivasa (AAAI, 2022)

A Solver + Gradient Descent Training Algorithm for Deep Neural Networks. - Dhananjay Ashok; Vineel Nagisetty; Christopher Srinivasa; Vijay Ganesh 001 (IJCAI, 2022)

Scalable Whitebox Attacks on Tree-based Models. - Giuseppe Castiglione; Gavin Ding; Masoud Hashemi; Christopher Srinivasa; Ga Wu (CoRR, 2022)

Nonlocal optimization of binary neural networks. - Amir Khoshaman; Giuseppe Castiglione; Christopher Srinivasa (CoRR, 2022)

fAux: Testing Individual Fairness via Gradient Alignment. - Giuseppe Castiglione; Ga Wu; Christopher Srinivasa; Simon Prince (CoRR, 2022)