Jaidev Gill

According to our database, Jaidev Gill authored at least 8 papers between 2023 and 2026.

Collaborative distances:

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

2026

Firing Rate Neural Network Implementations of Model Predictive Control.

Jaidev Gill, Jing Shuang Li

CoRR, March, 2026

2025

Identifying Network Structure of Linear Dynamical Systems: Observability and Edge Misclassification.

Jaidev Gill, Jing Shuang Li

CoRR, September, 2025

Identifying Network Structure of Nonlinear Dynamical Systems: Contraction and Kuramoto Oscillators.

Jaidev Gill, Jing Shuang Li

CoRR, September, 2025

2024

Deep Learning-Based Correction and Unmixing of Hyperspectral Images for Brain Tumor Surgery.

David G. Black, Jaidev Gill, Andrew Xie, Benoit Liquet, Antonio Di Ieva, Walter Stummer, Eric Suero Molina

CoRR, 2024

Symmetric Neural-Collapse Representations with Supervised Contrastive Loss: The Impact of ReLU and Batching.

Ganesh Ramachandra Kini, Vala Vakilian, Tina Behnia, Jaidev Gill, Christos Thrampoulidis

Proceedings of the Twelfth International Conference on Learning Representations, 2024

Engineering the Neural Collapse Geometry of Supervised-Contrastive Loss.

Jaidev Gill, Vala Vakilian, Christos Thrampoulidis

Proceedings of the IEEE International Conference on Acoustics, 2024

Engineering the Neural Collapse Geometry of Supervised-Contrastive Loss (Student Abstract).

Jaidev Gill, Vala Vakilian, Christos Thrampoulidis

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

Supervised-Contrastive Loss Learns Orthogonal Frames and Batching Matters.

Ganesh Ramachandra Kini, Vala Vakilian, Tina Behnia, Jaidev Gill, Christos Thrampoulidis

CoRR, 2023