Afshin Khadangi

According to our database, Afshin Khadangi authored at least 16 papers between 2018 and 2026.

Collaborative distances:

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

2026

Efficient Continual Learning in Language Models via Thalamically Routed Cortical Columns.

Afshin Khadangi

CoRR, February, 2026

TermSheetPilot: An LLM-Powered Agent for Filling Venture Term Sheets from Contracts for Founders and venture capitalists.

Amir Sartipi, Muriel-Larissa Frank, Afshin Khadangi, Igor Tchappi, Gilbert Fridgen

Proceedings of the 17th International Conference on Ambient Systems, 2026

HelpAgent: An Explainable Framework for Transparent and User-Centered Helpdesk Ticket Classification.

Esada Licina, Amir Sartipi, Qianbo Zang, Igor Tchappi, Afshin Khadangi

Proceedings of the 17th International Conference on Ambient Systems, 2026

Socratic Pitches: Agent-Led Entrepreneur-Investor Debates for Entrepreneurship Literacy.

Afshin Khadangi, Amir Sartipi, Muriel-Larissa Frank, Igor Tchappi, Gilbert Fridgen

Proceedings of the 17th International Conference on Ambient Systems, 2026

2025

When AI Takes the Couch: Psychometric Jailbreaks Reveal Internal Conflict in Frontier Models.

Afshin Khadangi, Hanna Marxen, Amir Sartipi, Igor Tchappi, Gilbert Fridgen

CoRR, December, 2025

Efficient Differentially Private Fine-Tuning of LLMs via Reinforcement Learning.

Afshin Khadangi, Amir Sartipi, Igor Tchappi, Ramin Bahmani, Gilbert Fridgen

CoRR, July, 2025

KG-HTC: Integrating Knowledge Graphs into LLMs for Effective Zero-shot Hierarchical Text Classification.

Qianbo Zang, Christophe Zgrzendek, Igor Tchappi, Afshin Khadangi, Johannes Sedlmeir

CoRR, May, 2025

Noise Augmented Fine Tuning for Mitigating Hallucinations in Large Language Models.

Afshin Khadangi, Amir Sartipi, Igor Tchappi, Ramin Bahmani

CoRR, April, 2025

CognArtive: Large Language Models for Automating Art Analysis and Decoding Aesthetic Elements.

Afshin Khadangi, Amir Sartipi, Igor Tchappi, Gilbert Fridgen

CoRR, February, 2025

KG-HTC: Integrating Knowledge Graphs into LLMs for Zero-Shot Hierarchical Text Classification.

Qianbo Zang, Igor Tchappi, Christophe Zgrzendek, Afshin Khadangi, Johannes Sedlmeir

Proceedings of the ECAI 2025 - 28th European Conference on Artificial Intelligence, 25-30 October 2025, Bologna, Italy, 2025

2023

We Don't Need No Adam, All We Need Is EVE: On The Variance of Dual Learning Rate And Beyond.

Afshin Khadangi

CoRR, 2023

DeepFlorist: Rethinking Deep Neural Networks and Ensemble Learning as A Meta-Classifier For Object Classification.

Afshin Khadangi

CoRR, 2023

2021

EM-stellar: benchmarking deep learning for electron microscopy image segmentation.

Afshin Khadangi, Thomas Boudier, Vijay Rajagopal

Bioinform., 2021

2020

EM-net: Deep learning for electron microscopy image segmentation.

Afshin Khadangi, Thomas Boudier, Vijay Rajagopal

Proceedings of the 25th International Conference on Pattern Recognition, 2020

2019

Automated segmentation of cardiomyocyte Z-disks from high-throughput scanning electron microscopy data.

Afshin Khadangi, Eric Hanssen, Vijay Rajagopal

BMC Medical Informatics Decis. Mak., 2019

2018

Automated framework to reconstruct 3D model of cardiac Z-disk: an image processing approach.

Afshin Khadangi, Eric Hanssen, Vijay Rajagopal

Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2018