Vala Vakilian

According to our database, Vala Vakilian authored at least 7 papers between 2022 and 2024.

Collaborative distances:

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

2024

Implicit Geometry of Next-token Prediction: From Language Sparsity Patterns to Model Representations.

Yize Zhao, Tina Behnia, Vala Vakilian, Christos Thrampoulidis

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

On the Implicit Geometry of Cross-Entropy Parameterizations for Label-Imbalanced Data.

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

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2023

2022

Imbalance Trouble: Revisiting Neural-Collapse Geometry.

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

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022