Haniyeh Ehsani Oskouie

According to our database, Haniyeh Ehsani Oskouie authored at least 10 papers between 2023 and 2026.

Collaborative distances:

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

2026

SciPredict: Can LLMs Predict the Outcomes of Scientific Experiments in Natural Sciences?

Udari Madhushani Sehwag, Elaine Lau, Haniyeh Ehsani Oskouie, Shayan Shabihi, Erich Liang, Andrea Toledo, Guillermo Mangialardi, Sergio Fonrouge, Ed-Yeremai Hernandez-Cardona, Paula Vergara, Utkarsh Tyagi, Chen Bo Calvin Zhang, Pavi Bhatter, Nicholas Johnson, Furong Huang, Ernesto Gabriel Hernández Montoya, Bing Liu

CoRR, April, 2026

MMLoP: Multi-Modal Low-Rank Prompting for Efficient Vision-Language Adaptation.

Sajjad Ghiasvand, Haniyeh Ehsani Oskouie, Mahnoosh Alizadeh, Ramtin Pedarsani

CoRR, February, 2026

2025

MI-to-Mid Distilled Compression (M2M-DC): An Hybrid-Information-Guided-Block Pruning with Progressive Inner Slicing Approach to Model Compression.

Lionel M. Levine, Sajjad Ghiasvand, Haniyeh Ehsani Oskouie, Majid Sarrafzadeh

CoRR, November, 2025

Test-Time Defense Against Adversarial Attacks via Stochastic Resonance of Latent Ensembles.

Dong Lao, Yuxiang Zhang, Haniyeh Ehsani Oskouie, Yangchao Wu, Alex Wong, Stefano Soatto

CoRR, October, 2025

Few-Shot Adversarial Low-Rank Fine-Tuning of Vision-Language Models.

Sajjad Ghiasvand, Haniyeh Ehsani Oskouie, Mahnoosh Alizadeh, Ramtin Pedarsani

CoRR, May, 2025

Exploring a Datasets Statistical Effect Size Impact on Model Performance, and Data Sample-Size Sufficiency.

Arya Hatamian, Lionel M. Levine, Haniyeh Ehsani Oskouie, Majid Sarrafzadeh

CoRR, January, 2025

Leveraging Large Language Models and Topic Modeling for Toxicity Classification.

Haniyeh Ehsani Oskouie, Christina Chance, Claire Huang, Margaret Capetz, Elizabeth Eyeson, Majid Sarrafzadeh

Proceedings of the International Conference on Computing, Networking and Communications, 2025

2024

Exploring Cross-model Neuronal Correlations in the Context of Predicting Model Performance and Generalizability.

Haniyeh Ehsani Oskouie, Lionel M. Levine, Majid Sarrafzadeh

CoRR, 2024

Attack on Scene Flow Using Point Clouds.

Haniyeh Ehsani Oskouie, Mohammad-Shahram Moin, Shohreh Kasaei

Proceedings of the 34th IEEE International Workshop on Machine Learning for Signal Processing, 2024

2023

Interpretation of Neural Networks is Susceptible to Universal Adversarial Perturbations.

Haniyeh Ehsani Oskouie, Farzan Farnia

Proceedings of the IEEE International Conference on Acoustics, 2023