Christopher Srinivasa

According to our database, Christopher Srinivasa authored at least 11 papers between 2012 and 2022.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2022

fAux: Testing Individual Fairness via Gradient Alignment.

Giuseppe Castiglione, Ga Wu, Christopher Srinivasa, Simon Prince

CoRR, 2022

Nonlocal optimization of binary neural networks.

Amir Khoshaman, Giuseppe Castiglione, Christopher Srinivasa

CoRR, 2022

Scalable Whitebox Attacks on Tree-based Models.

Giuseppe Castiglione, Gavin Ding, Masoud Hashemi, Christopher Srinivasa, Ga Wu

CoRR, 2022

A Solver + Gradient Descent Training Algorithm for Deep Neural Networks.

Dhananjay Ashok, Vineel Nagisetty, Christopher Srinivasa, Vijay Ganesh

Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence, 2022

PUMA: Performance Unchanged Model Augmentation for Training Data Removal.

Ga Wu, Masoud Hashemi, Christopher Srinivasa

Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2019

Parity Partition Coding for Sharp Multi-Label Classification.

Christopher G. Blake, Giuseppe Castiglione, Christopher Srinivasa, Marcus A. Brubaker

CoRR, 2019

2017

Min-Max Propagation.

Christopher Srinivasa, Inmar E. Givoni, Siamak Ravanbakhsh, Brendan J. Frey

Proceedings of the Advances in Neural Information Processing Systems 30: Annual Conference on Neural Information Processing Systems 2017, 2017

2016

Survey Propagation beyond Constraint Satisfaction Problems.

Christopher Srinivasa, Siamak Ravanbakhsh, Brendan J. Frey

Proceedings of the 19th International Conference on Artificial Intelligence and Statistics, 2016

2014

Min-Max Problems on Factor Graphs.

Siamak Ravanbakhsh, Christopher Srinivasa, Brendan J. Frey, Russell Greiner

Proceedings of the 31th International Conference on Machine Learning, 2014

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

Proceedings of the 11th International Conference on Information Science, 2012

Graph theory for the discovery of non-parametric audio objects.

Christopher Srinivasa, Martin Bouchard, Ramin Pichevar, Hossein Najaf-Zadeh

Proceedings of the 11th International Conference on Information Science, 2012