Reza Akbarian Bafghi

According to our database, Reza Akbarian Bafghi authored at least 8 papers between 2023 and 2025.

Collaborative distances:

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

2025

Fine Tuning without Catastrophic Forgetting via Selective Low Rank Adaptation.

Reza Akbarian Bafghi, Carden Bagwell, Avinash Ravichandran, Ashish Shrivastava, Maziar Raissi

CoRR, January, 2025

MixDiff: Mixing Natural and Synthetic Images for Robust Self-Supervised Representations.

Reza Akbarian Bafghi, Nidhin Harilal, Claire Monteleoni, Maziar Raissi

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2025

Aligning to What? Limits to RLHF Based Alignment.

Logan Barnhart, Reza Akbarian Bafghi, Stephen Becker, Maziar Raissi

Proceedings of the Findings of the Association for Computational Linguistics: NAACL 2025, Albuquerque, New Mexico, USA, April 29, 2025

2024

Where Did Your Model Learn That? Label-free Influence for Self-supervised Learning.

Nidhin Harilal, Amit Rege, Reza Akbarian Bafghi, Maziar Raissi, Claire Monteleoni

CoRR, 2024

Mixing Natural and Synthetic Images for Robust Self-Supervised Representations.

Reza Akbarian Bafghi, Nidhin Harilal, Claire Monteleoni, Maziar Raissi

CoRR, 2024

Parameter Efficient Fine-tuning of Self-supervised ViTs without Catastrophic Forgetting.

Reza Akbarian Bafghi, Nidhin Harilal, Claire Monteleoni, Maziar Raissi

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

2023

PINNs-TF2: Fast and User-Friendly Physics-Informed Neural Networks in TensorFlow V2.

Reza Akbarian Bafghi, Maziar Raissi

CoRR, 2023

A New Dataset Based on Images Taken by Blind People for Testing the Robustness of Image Classification Models Trained for ImageNet Categories.

Reza Akbarian Bafghi, Danna Gurari

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023