Ehsan Hajiramezanali
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
8
Venues
5
Active years
2020–2026
Best venue rank
A*
Where they publish
Papers
8 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2026 | AAAI | RAG-Enhanced Collaborative LLM Agents for Drug Discovery. | Namkyeong Lee, Edward De Brouwer, Ehsan Hajiramezanali, Tommaso Biancalani, Chanyoung Park, Gabriele Scalia |
| 2025 | ICLR | Adding Conditional Control to Diffusion Models with Reinforcement Learning. | Yulai Zhao, Masatoshi Uehara, Gabriele Scalia, Sun-Yuan Kung, Tommaso Biancalani, Sergey Levine, Ehsan Hajiramezanali |
| 2024 | AISTATS | Conformalized Deep Splines for Optimal and Efficient Prediction Sets. | Nathaniel Diamant, Ehsan Hajiramezanali, Tommaso Biancalani, Gabriele Scalia |
| 2024 | ICML | Feedback Efficient Online Fine-Tuning of Diffusion Models. | Masatoshi Uehara, Yulai Zhao, Kevin Black, Ehsan Hajiramezanali, Gabriele Scalia, Nathaniel Lee Diamant, Alex M. Tseng, Sergey Levine, Tommaso Biancalani |
| 2023 | ICML | Towards Understanding and Improving GFlowNet Training. | Max W. Shen, Emmanuel Bengio, Ehsan Hajiramezanali, Andreas Loukas, Kyunghyun Cho, Tommaso Biancalani |
| 2022 | ICLR | MoReL: Multi-omics Relational Learning. | Arman Hasanzadeh, Ehsan Hajiramezanali, Nick Duffield, Xiaoning Qian |
| 2020 | ICASSP | Semi-Implicit Stochastic Recurrent Neural Networks. | Ehsan Hajiramezanali, Arman Hasanzadeh, Nick Duffield, Krishna Narayanan, Mingyuan Zhou, Xiaoning Qian |
| 2020 | ICML | Bayesian Graph Neural Networks with Adaptive Connection Sampling. | Arman Hasanzadeh, Ehsan Hajiramezanali, Shahin Boluki, Mingyuan Zhou, Nick Duffield, Krishna Narayanan, Xiaoning Qian |