Ahmadreza Jeddi

According to our database, Ahmadreza Jeddi authored at least 11 papers between 2020 and 2026.

Collaborative distances:

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

2026

GEAR: Genetic AutoResearch for Agentic Code Evolution.

Ahmadreza Jeddi, Minh Ngoc Le, Hakki Can Karaimer, Konstantinos G. Derpanis, Babak Taati

CoRR, May, 2026

When Does RL Help Medical VLMs? Disentangling Vision, SFT, and RL Gains.

Ahmadreza Jeddi, Kimia Shaban, Negin Baghbanzadeh, Natasha Sharan, Abhishek Moturu, Elham Dolatabadi, Babak Taati

CoRR, March, 2026

LoopFormer: Elastic-Depth Looped Transformers for Latent Reasoning via Shortcut Modulation.

Ahmadreza Jeddi, Marco Ciccone, Babak Taati

CoRR, February, 2026

2025

Puzzle Curriculum GRPO for Vision-Centric Reasoning.

Ahmadreza Jeddi, Hakki Can Karaimer, Hue Nguyen, Zhongling Wang, Ke Zhao, Javad Rajabi, Ran Zhang, Raghav Goyal, Babak Taati, Radek Grzeszczuk

CoRR, December, 2025

Similarity-Aware Token Pruning: Your VLM but Faster.

Ahmadreza Jeddi, Negin Baghbanzadeh, Elham Dolatabadi, Babak Taati

CoRR, March, 2025

2024

QGen: On the Ability to Generalize in Quantization Aware Training.

MohammadHossein AskariHemmat, Ahmadreza Jeddi, Reyhane Askari Hemmat, Ivan Lazarevich, Alexander Hoffman, Sudhakar Sah, Ehsan Saboori, Yvon Savaria, Jean-Pierre David

CoRR, 2024

2021

Deep Neural Network Perception Models and Robust Autonomous Driving Systems: Practical Solutions for Mitigation and Improvement.

Mohammad Javad Shafiee, Ahmadreza Jeddi, Amir Nazemi, Paul W. Fieguth, Alexander Wong

IEEE Signal Process. Mag., 2021

2020

A Simple Fine-tuning Is All You Need: Towards Robust Deep Learning Via Adversarial Fine-tuning.

Ahmadreza Jeddi, Mohammad Javad Shafiee, Alexander Wong

CoRR, 2020

Tackling the Problem of Limited Data and Annotations in Semantic Segmentation.

Ahmadreza Jeddi

CoRR, 2020

Deep Neural Network Perception Models and Robust Autonomous Driving Systems.

Mohammad Javad Shafiee, Ahmadreza Jeddi, Amir Nazemi, Paul W. Fieguth, Alexander Wong

CoRR, 2020

Learn2Perturb: An End-to-End Feature Perturbation Learning to Improve Adversarial Robustness.

Ahmadreza Jeddi, Mohammad Javad Shafiee, Michelle Karg, Christian Scharfenberger, Alexander Wong

Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020