Ashkan Shahbazi

According to our database, Ashkan Shahbazi authored at least 16 papers between 2024 and 2026.

Collaborative distances:

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

2026

Min Generalized Sliced Gromov Wasserstein: A Scalable Path to Gromov Wasserstein.

Ashkan Shahbazi, Xinran Liu, Ping He, Soheil Kolouri

CoRR, May, 2026

SurgFormer: Scalable Learning of Organ Deformation with Resection Support and Real-Time Inference.

Ashkan Shahbazi, Elaheh Akbari, Kyvia Pereira, Jon S. Heiselman, Annie C. Benson, Garrison L. H. Johnston, Jie Ying Wu, Nabil Simaan, Michael I. Miga, Soheil Kolouri

CoRR, March, 2026

Vector-Quantized Soft Label Compression for Dataset Distillation.

Ali Abbasi, Ashkan Shahbazi, Hamed Pirsiavash, Soheil Kolouri

CoRR, March, 2026

A Case for Vanilla SWD: New Perspectives on Informative Slices, Sliced-Wasserstein Distances, and Learning Rates.

Huy Tran, Yikun Bai, Ashkan Shahbazi, John R. Hershey, David Hyde, Soheil Kolouri

Trans. Mach. Learn. Res., 2026

Neural-Augmented Kelvinlet for Real-Time Soft Tissue Deformation Modeling.

Ashkan Shahbazi, Kyvia Pereira, Jon S. Heiselman, Elaheh Akbari, Annie C. Benson, Sepehr Seifi, Xinyuan Liu, Garrison Lawrence Horswill Johnston, Jie Ying Wu, Nabil Simaan, Michael I. Miga, Soheil Kolouri

Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

2025

LUNA: Linear Universal Neural Attention with Generalization Guarantees.

Ashkan Shahbazi, Ping He, Ali Abbasi, Yikun Bai, Xinran Liu, Elaheh Akbari, Darian Salehi, Navid Naderializadeh, Soheil Kolouri

CoRR, December, 2025

LOTFormer: Doubly-Stochastic Linear Attention via Low-Rank Optimal Transport.

Ashkan Shahbazi, Chayne Thrash, Yikun Bai, Keaton Hamm, Navid Naderializadeh, Soheil Kolouri

CoRR, September, 2025

Neural-Augmented Kelvinlet: Real-Time Soft Tissue Deformation with Multiple Graspers.

Ashkan Shahbazi, Kyvia Pereira, Jon S. Heiselman, Elaheh Akbari, Annie C. Benson, Sepehr Seifi, Xinyuan Liu, Garrison L. H. Johnston, Erwin Terpstra, Anne Draaisma, Jan-Jaap Severes, Jie Ying Wu, Nabil Simaan, Michael I. Miga, Soheil Kolouri

CoRR, June, 2025

ESPFormer: Doubly-Stochastic Attention with Expected Sliced Transport Plans.

Ashkan Shahbazi, Elaheh Akbari, Darian Salehi, Xinran Liu, Navid Naderializadeh, Soheil Kolouri

Proceedings of the Forty-second International Conference on Machine Learning, 2025

Expected Sliced Transport Plans.

Xinran Liu, Rocio Diaz Martin, Yikun Bai, Ashkan Shahbazi, Matthew Thorpe, Akram Aldroubi, Soheil Kolouri

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

Linear Spherical Sliced Optimal Transport: A Fast Metric for Comparing Spherical Data.

Xinran Liu, Yikun Bai, Rocio Diaz Martin, Kaiwen Shi, Ashkan Shahbazi, Bennett Allan Landman, Catie Chang, Soheil Kolouri

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

2024

Understanding Learning with Sliced-Wasserstein Requires Rethinking Informative Slices.

Huy Tran, Yikun Bai, Ashkan Shahbazi, John R. Hershey, Soheil Kolouri

CoRR, 2024

One Category One Prompt: Dataset Distillation using Diffusion Models.

Ali Abbasi, Ashkan Shahbazi, Hamed Pirsiavash, Soheil Kolouri

CoRR, 2024

Efficient Solvers for Partial Gromov-Wasserstein.

Yikun Bai, Rocio Diaz Martin, Hengrong Du, Ashkan Shahbazi, Soheil Kolouri

CoRR, 2024

Stereographic Spherical Sliced Wasserstein Distances.

Huy Tran, Yikun Bai, Abihith Kothapalli, Ashkan Shahbazi, Xinran Liu, Rocio Diaz Martin, Soheil Kolouri

Proceedings of the Forty-first International Conference on Machine Learning, 2024

Equivariant vs. Invariant Layers: A Comparison of Backbone and Pooling for Point Cloud Classification.

Abihith Kothapalli, Ashkan Shahbazi, Xinran Liu, Robert Sheng, Soheil Kolouri

Proceedings of the Geometry-grounded Representation Learning and Generative Modeling Workshop (GRaM) at ICML 2024, 2024