Santiago Miret
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
18
Venues
8
Active years
2019–2026
Best venue rank
A*
Where they publish
Papers
18 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2026 | LREC | A Binary Problem in Binary QA: Diverse LLMs or Diverse Question Interpretations? That Is the Ensembling Question. | Rafael Rosales, Santiago Miret |
| 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 | MatExpert: Decomposing Materials Discovery By Mimicking Human Experts. | Qianggang Ding, Santiago Miret, Bang Liu |
| 2025 | ICLR | SymmCD: Symmetry-Preserving Crystal Generation with Diffusion Models. | Daniel Levy, Siba Smarak Panigrahi, Skou-Oumar Kaba, Qiang Zhu, Kin Long Kelvin Lee, Mikhail Galkin, Santiago Miret, Siamak Ravanbakhsh |
| 2024 | EMNLP | HoneyComb: A Flexible LLM-Based Agent System for Materials Science. | Huan Zhang, Yu Song, Ziyu Hou, Santiago Miret, Bang Liu |
| 2024 | ICLR | Searching for High-Value Molecules Using Reinforcement Learning and Transformers. | Raj Ghugare, Santiago Miret, Adriana Hugessen, Mariano Phielipp, Glen Berseth |
| 2023 | ACL | MatSci-NLP: Evaluating Scientific Language Models on Materials Science Language Tasks Using Text-to-Schema Modeling. | Yu Song, Santiago Miret, Bang Liu |
| 2023 | EMNLP | Can Retriever-Augmented Language Models Reason? The Blame Game Between the Retriever and the Language Model. | Parishad BehnamGhader, Santiago Miret, Siva Reddy |
| 2023 | EMNLP | HoneyBee: Progressive Instruction Finetuning of Large Language Models for Materials Science. | Yu Song, Santiago Miret, Huan Zhang, Bang Liu |
| 2023 | ICML | FAENet: Frame Averaging Equivariant GNN for Materials Modeling. | Alexandre Duval, Victor Schmidt, Alex Hernndez-Garca, Santiago Miret, Fragkiskos D. Malliaros, Yoshua Bengio, David Rolnick |
| 2023 | ICML | Multi-Objective GFlowNets. | Moksh Jain, Sharath Chandra Raparthy, Alex Hernndez-Garca, Jarrid Rector-Brooks, Yoshua Bengio, Santiago Miret, Emmanuel Bengio |
| 2023 | ICML | ProtST: Multi-Modality Learning of Protein Sequences and Biomedical Texts. | Minghao Xu, Xinyu Yuan, Santiago Miret, Jian Tang |
| 2023 | SC | Towards Foundation Models for Materials Science: The Open MatSci ML Toolkit. | Kin Long Kelvin Lee, Carmelo Gonzales, Matthew Spellings, Mikhail Galkin, Santiago Miret, Nalini Kumar |
| 2022 | GECCO | Neuroevolution-enhanced multi-objective optimization for mixed-precision quantization. | Santiago Miret, Vui Seng Chua, Mattias Marder, Mariano Phielipp, Nilesh Jain, Somdeb Majumdar |
| 2022 | IJCNN | Learning Intrinsic Symbolic Rewards in Reinforcement Learning. | Hassam Ullah Sheikh, Shauharda Khadka, Santiago Miret, Somdeb Majumdar, Mariano Phielipp |
| 2021 | ICLR | Optimizing Memory Placement using Evolutionary Graph Reinforcement Learning. | Shauharda Khadka, Estelle Aflalo, Mattias Marder, Avrech Ben-David, Santiago Miret, Shie Mannor, Tamir Hazan, Hanlin Tang, Somdeb Majumdar |
| 2020 | ICML | Evolutionary Reinforcement Learning for Sample-Efficient Multiagent Coordination. | Somdeb Majumdar, Shauharda Khadka, Santiago Miret, Stephen McAleer, Kagan Tumer |
| 2019 | ICML | Collaborative Evolutionary Reinforcement Learning. | Shauharda Khadka, Somdeb Majumdar, Tarek Nassar, Zach Dwiel, Evren Tumer, Santiago Miret, Yinyin Liu, Kagan Tumer |