Daniel M. Faissol
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
5
Venues
4
Active years
2020–2026
Best venue rank
A*
Where they publish
Papers
5 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2026 | AAAI | Machine Learning Models Assisting the Development of Antibody Therapeutics and Vaccines - an Emerging Trend. | Felipe Leno da Silva, Mikel Landajuela, Edwin A. Saada, Piyush Karande, Sudeep Sarma, Igor D'Angelo, Simone Conti, Daniel M. Faissol |
| 2025 | AAAI | DisCo-DSO: Coupling Discrete and Continuous Optimization for Efficient Generative Design in Hybrid Spaces. | Jacob F. Pettit, Chak Shing Lee, Jiachen Yang, Alex Ho, Daniel M. Faissol, Brenden K. Petersen, Mikel Landajuela |
| 2023 | AISTATS | Reinforcement Learning for Adaptive Mesh Refinement. | Jiachen Yang, Tarik Dzanic, Brenden K. Petersen, Jun Kudo, Ketan Mittal, Vladimir Z. Tomov, Jean-Sylvain Camier, Tuo Zhao, Hongyuan Zha, Tzanio V. Kolev, Robert W. Anderson, Daniel M. Faissol |
| 2021 | ICML | Discovering symbolic policies with deep reinforcement learning. | Mikel Landajuela, Brenden K. Petersen, Sookyung Kim, Cludio P. Santiago, Ruben Glatt, T. Nathan Mundhenk, Jacob F. Pettit, Daniel M. Faissol |
| 2020 | ICLR | Single Episode Policy Transfer in Reinforcement Learning. | Jiachen Yang, Brenden K. Petersen, Hongyuan Zha, Daniel M. Faissol |