Chandra Sekhar Sripada

According to our database, Chandra Sekhar Sripada authored at least 13 papers between 2011 and 2026.

Collaborative distances:

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

2026

Sparse Feature Coactivation Reveals Causal Semantic Modules in Large Language Models.

Ruixuan Deng, Xiaoyang Hu, Miles Gilberti, Shane Storks, Aman Taxali, Mike Angstadt, Chandra Sekhar Sripada, Joyce Chai

Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2026

2025

Sparse Feature Coactivation Reveals Composable Semantic Modules in Large Language Models.

Ruixuan Deng, Xiaoyang Hu, Miles Gilberti, Shane Storks, Aman Taxali, Mike Angstadt, Chandra Sekhar Sripada, Joyce Chai

CoRR, June, 2025

2022

Automated Brain Masking of Fetal Functional MRI with Open Data.

Saige Rutherford, Pascal Sturmfels, Mike Angstadt, Jasmine L. Hect, Jenna Wiens, Marion I. van den Heuvel, Dustin Scheinost, Chandra Sekhar Sripada, Moriah E. Thomason

Neuroinformatics, 2022

2019

Fast network discovery on sequence data via time-aware hashing.

Tara Safavi, Chandra Sekhar Sripada, Danai Koutra

Knowl. Inf. Syst., 2019

GroupINN: Grouping-based Interpretable Neural Network for Classification of Limited, Noisy Brain Data.

Yujun Yan, Jiong Zhu, Marlena Duda, Eric Solarz, Chandra Sekhar Sripada, Danai Koutra

Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2019

Supervised Principal Component Analysis Via Manifold Optimization.

Alexander Ritchie, Clayton D. Scott, Laura Balzano, Daniel Kessler, Chandra Sekhar Sripada

Proceedings of the IEEE Data Science Workshop, 2019

2018

A Domain Guided CNN Architecture for Predicting Age from Structural Brain Images.

Pascal Sturmfels, Saige Rutherford, Mike Angstadt, Mark Peterson, Chandra Sekhar Sripada, Jenna Wiens

Proceedings of the Machine Learning for Healthcare Conference, 2018

2017

Scalable Hashing-Based Network Discovery.

Tara Safavi, Chandra Sekhar Sripada, Danai Koutra

Proceedings of the 2017 IEEE International Conference on Data Mining, 2017

2014

Disease prediction based on functional connectomes using a scalable and spatially-informed support vector machine.

Takanori Watanabe, Daniel Kessler, Clayton D. Scott, Michael Angstadt, Chandra Sekhar Sripada

NeuroImage, 2014

Volitional regulation of emotions produces distributed alterations in connectivity between visual, attention control, and default networks.

Chandra Sekhar Sripada, Michael Angstadt, Daniel Kessler, K. Luan Phan, Israel Liberzon, Gary W. Evans, Robert C. Welsh, Pilyoung Kim, James E. Swain

NeuroImage, 2014

Scalable fused Lasso SVM for connectome-based disease prediction.

Takanori Watanabe, Clayton D. Scott, Daniel Kessler, Michael Angstadt, Chandra Sekhar Sripada

Proceedings of the IEEE International Conference on Acoustics, 2014

2013

Distributed effects of methylphenidate on the network structure of the resting brain: A connectomic pattern classification analysis.

Chandra Sekhar Sripada, Daniel Kessler, Robert C. Welsh, Michael Angstadt, Israel Liberzon, K. Luan Phan, Clayton D. Scott

NeuroImage, 2013

2011

Effects of alcohol on brain responses to social signals of threat in humans.

Chandra Sekhar Sripada, Mike Angstadt, Patrick McNamara, Andrea C. King, K. Luan Phan

NeuroImage, 2011