Arash Afkanpour

According to our database, Arash Afkanpour authored at least 16 papers between 2005 and 2025.

Collaborative distances:

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

2025

Advancing Medical Representation Learning Through High-Quality Data.

Negin Baghbanzadeh, Adibvafa Fallahpour, Yasaman Parhizkar, Franklin Ogidi, Shuvendu Roy, Sajad Ashkezari, Vahid Reza Khazaie, Michael Colacci, Ali Etemad, Arash Afkanpour, Elham Dolatabadi

CoRR, March, 2025

A Shared Encoder Approach to Multimodal Representation Learning.

Shuvendu Roy, Franklin Ogidi, Ali Etemad, Elham Dolatabadi, Arash Afkanpour

CoRR, March, 2025

Can Generative Models Improve Self-Supervised Representation Learning?

Sana Ayromlou, Vahid Reza Khazaie, Fereshteh Forghani, Arash Afkanpour

Proceedings of the AAAI-25, Sponsored by the Association for the Advancement of Artificial Intelligence, February 25, 2025

2024

Benchmarking Vision-Language Contrastive Methods for Medical Representation Learning.

Shuvendu Roy, Yasaman Parhizkar, Franklin Ogidi, Vahid Reza Khazaie, Michael Colacci, Ali Etemad, Elham Dolatabadi, Arash Afkanpour

CoRR, 2024

Few-shot Tuning of Foundation Models for Class-incremental Learning.

Shuvendu Roy, Elham Dolatabadi, Arash Afkanpour, Ali Etemad

CoRR, 2024

EHRMamba: Towards Generalizable and Scalable Foundation Models for Electronic Health Records.

Adibvafa Fallahpour, Mahshid Alinoori, Arash Afkanpour, Amrit Krishnan

CoRR, 2024

Federated Variational Inference: Towards Improved Personalization and Generalization.

Elahe Vedadi, Joshua V. Dillon, Philip Andrew Mansfield, Karan Singhal, Arash Afkanpour, Warren Richard Morningstar

Proceedings of the AAAI 2024 Spring Symposium Series, 2024

2023

Random Field Augmentations for Self-Supervised Representation Learning.

Philip Andrew Mansfield, Arash Afkanpour, Warren Richard Morningstar, Karan Singhal

CoRR, 2023

2022

Federated Training of Dual Encoding Models on Small Non-IID Client Datasets.

Raviteja Vemulapalli, Warren Richard Morningstar, Philip Andrew Mansfield, Hubert Eichner, Karan Singhal, Arash Afkanpour, Bradley Green

CoRR, 2022

BERT for Long Documents: A Case Study of Automated ICD Coding.

Arash Afkanpour, Shabir Adeel, Hansenclever Bassani, Arkady Epshteyn, Hongbo Fan, Isaac Jones, Mahan Malihi, Adrian Nauth, Raj Sinha, Sanjana Woonna, Shiva Zamani, Elli Kanal, Mikhail Fomitchev, Donny Cheung

Proceedings of the 13th International Workshop on Health Text Mining and Information Analysis, 2022

2021

An Empirical Study of Neural Kernel Bandits.

Michal Lisicki, Arash Afkanpour, Graham W. Taylor

CoRR, 2021

2020

Evaluating Curriculum Learning Strategies in Neural Combinatorial Optimization.

Michal Lisicki, Arash Afkanpour, Graham W. Taylor

CoRR, 2020

2013

Alignment based kernel learning with a continuous set of base kernels.

Arash Afkanpour, Csaba Szepesvári, Michael Bowling

Mach. Learn., 2013

A Randomized Mirror Descent Algorithm for Large Scale Multiple Kernel Learning.

Arash Afkanpour, András György, Csaba Szepesvári, Michael Bowling

Proceedings of the 30th International Conference on Machine Learning, 2013

2012

A Randomized Strategy for Learning to Combine Many Features

Arash Afkanpour, András György, Csaba Szepesvári, Michael H. Bowling

CoRR, 2012

2005

Opponent Modeling in Adversarial Environments through Learning Ingenuity.

Arash Afkanpour, Saeed Bagheri Shouraki

Proceedings of the Self-Organization and Autonomic Informatics (I), 2005