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Ehsan Degan
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Conference and Workshop Papers
- 2024
- [c4]Prashanth Vijayaraghavan, Apoorva Nitsure, Charles Mackin, Luyao Shi, Stefano Ambrogio, Arvind Haran, Viresh Paruthi, Ali El-Zein, Dan Coops, David Beymer, Tyler Baldwin, Ehsan Degan:
Chain-of-Descriptions: Improving Code LLMs for VHDL Code Generation and Summarization. MLCAD 2024: 28:1-28:10 - [c3]Prashanth Vijayaraghavan, Hongzhi Wang, Luyao Shi, Tyler Baldwin, David Beymer, Ehsan Degan:
Self-Regulated Data-Free Knowledge Amalgamation for Text Classification. NAACL (Industry Track) 2024: 491-502 - 2023
- [c2]Yuqing Wang, Prashanth Vijayaraghavan, Ehsan Degan:
PROMINET: Prototype-based Multi-View Network for Interpretable Email Response Prediction. EMNLP (Industry Track) 2023: 202-215 - 2022
- [c1]Luyao Shi, Prashanth Vijayaraghavan, Ehsan Degan:
Data-free Model Fusion with Generator Assistants. CVPR Workshops 2022: 7731-7739
Parts in Books or Collections
- 2022
- [p1]Ehsan Degan, Shafiq Abedin, David Beymer, Angshuman Deb, Nathaniel Braman, Benedikt Graf, Vandana V. Mukherjee:
Application of Federated Learning in Medical Imaging. Federated Learning 2022: 483-497
Informal and Other Publications
- 2024
- [i4]Prashanth Vijayaraghavan, Luyao Shi, Stefano Ambrogio, Charles Mackin, Apoorva Nitsure, David Beymer, Ehsan Degan:
VHDL-Eval: A Framework for Evaluating Large Language Models in VHDL Code Generation. CoRR abs/2406.04379 (2024) - [i3]Prashanth Vijayaraghavan, Hongzhi Wang, Luyao Shi, Tyler Baldwin, David Beymer, Ehsan Degan:
Self-Regulated Data-Free Knowledge Amalgamation for Text Classification. CoRR abs/2406.15476 (2024) - [i2]Prashanth Vijayaraghavan, Luyao Shi, Ehsan Degan, Xin Zhang:
CIRCUITSYNTH: Leveraging Large Language Models for Circuit Topology Synthesis. CoRR abs/2407.10977 (2024) - 2023
- [i1]Yuqing Wang, Prashanth Vijayaraghavan, Ehsan Degan:
PROMINET: Prototype-based Multi-View Network for Interpretable Email Response Prediction. CoRR abs/2310.16753 (2023)
Coauthor Index
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