Aln Aspuru-Guzik
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
10
Venues
5
Active years
2017–2025
Best venue rank
A*
Where they publish
Papers
10 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2025 | ICLR | Stiefel Flow Matching for Moment-Constrained Structure Elucidation. | Austin Henry Cheng, Alston Lo, Kin Long Kelvin Lee, Santiago Miret, Aln Aspuru-Guzik |
| 2025 | ICLR | Efficient Evolutionary Search Over Chemical Space with Large Language Models. | Haorui Wang, Marta Skreta, Cher Tian Ser, Wenhao Gao, Lingkai Kong, Felix Strieth-Kalthoff, Chenru Duan, Yuchen Zhuang, Yue Yu, Yanqiao Zhu, Yuanqi Du, Aln Aspuru-Guzik, Kirill Neklyudov, Chao Zhang |
| 2025 | ICML | Feynman-Kac Correctors in Diffusion: Annealing, Guidance, and Product of Experts. | Marta Skreta, Tara Akhound-Sadegh, Viktor Ohanesian, Roberto Bondesan, Aln Aspuru-Guzik, Arnaud Doucet, Rob Brekelmans, Alexander Tong, Kirill Neklyudov |
| 2024 | ICML | A Sober Look at LLMs for Material Discovery: Are They Actually Good for Bayesian Optimization Over Molecules? | Agustinus Kristiadi, Felix Strieth-Kalthoff, Marta Skreta, Pascal Poupart, Aln Aspuru-Guzik, Geoff Pleiss |
| 2024 | ICML | Position: Application-Driven Innovation in Machine Learning. | David Rolnick, Aln Aspuru-Guzik, Sara Beery, Bistra Dilkina, Priya L. Donti, Marzyeh Ghassemi, Hannah Kerner, Claire Monteleoni, Esther Rolf, Milind Tambe, Adam White |
| 2023 | ICCV | One-shot recognition of any material anywhere using contrastive learning with physics-based rendering. | Manuel S. Drehwald, Sagi Eppel, Jolina Li, Han Hao, Aln Aspuru-Guzik |
| 2023 | ICRA | MVTrans: Multi-View Perception of Transparent Objects. | Yi Ru Wang, Yuchi Zhao, Haoping Xu, Sagi Eppel, Aln Aspuru-Guzik, Florian Shkurti, Animesh Garg |
| 2021 | CoRL | Seeing Glass: Joint Point-Cloud and Depth Completion for Transparent Objects. | Haoping Xu, Yi Ru Wang, Sagi Eppel, Aln Aspuru-Guzik, Florian Shkurti, Animesh Garg |
| 2020 | ICLR | Augmenting Genetic Algorithms with Deep Neural Networks for Exploring the Chemical Space. | AkshatKumar Nigam, Pascal Friederich, Mario Krenn, Aln Aspuru-Guzik |
| 2017 | ICML | Parallel and Distributed Thompson Sampling for Large-scale Accelerated Exploration of Chemical Space. | Jos Miguel Hernndez-Lobato, James Requeima, Edward O. Pyzer-Knapp, Aln Aspuru-Guzik |