Tommaso Biancalani
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
11
Venues
5
Active years
2023–2026
Best venue rank
A*
Where they publish
Papers
11 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 |
| 2025 | ICLR | Fine-Tuning Discrete Diffusion Models via Reward Optimization with Applications to DNA and Protein Design. | Chenyu Wang, Masatoshi Uehara, Yichun He, Amy Wang, Avantika Lal, Tommi S. Jaakkola, Sergey Levine, Aviv Regev, Hanchen Wang, Tommaso Biancalani |
| 2025 | ICLR | Contextualizing biological perturbation experiments through language. | Menghua Wu, Russell Littman, Jacob Levine, Lin Qiu, Tommaso Biancalani, David Richmond, Jan-Christian Huetter |
| 2025 | ICML | Reward-Guided Iterative Refinement in Diffusion Models at Test-Time with Applications to Protein and DNA Design. | Masatoshi Uehara, Xingyu Su, Yulai Zhao, Xiner Li, Aviv Regev, Shuiwang Ji, Sergey Levine, Tommaso Biancalani |
| 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 |
| 2024 | RECOMB | regLM: Designing Realistic Regulatory DNA with Autoregressive Language Models. | Avantika Lal, David Garfield, Tommaso Biancalani, Gkcen Eraslan |
| 2023 | AISTATS | NODAGS-Flow: Nonlinear Cyclic Causal Structure Learning. | Muralikrishnna G. Sethuraman, Romain Lopez, Rahul Mohan, Faramarz Fekri, Tommaso Biancalani, Jan-Christian Htter |
| 2023 | ICML | Improving Graph Generation by Restricting Graph Bandwidth. | Nathaniel Lee Diamant, Alex M. Tseng, Kangway V. Chuang, Tommaso Biancalani, Gabriele Scalia |
| 2023 | ICML | Towards Understanding and Improving GFlowNet Training. | Max W. Shen, Emmanuel Bengio, Ehsan Hajiramezanali, Andreas Loukas, Kyunghyun Cho, Tommaso Biancalani |