Publications

13 results for Vijil Vijil

Multi-Scale Representation Learning for Protein Fitness Prediction
- - Zuobai Zhang
  - Pascal Notin
  - et al.
- 2024
- NeurIPS 2024
Improving Structural Plausibility in 3D Molecule Generation via Property-Conditioned Training with Distorted Molecules
- - Lucy Vost
  - Vijil Vijil
  - et al.
- 2024
- NeurIPS 2024
Learning to Optimize Molecules with a Chemical Language Model
- - Jerret Ross
  - Samuel Hoffman
  - et al.
- 2024
- NeurIPS 2024
Efficient Equivariant Transfer Learning from Pretrained Models
- - Sourya Basu
  - Pulkit Katdare
  - et al.
- 2023
- NeurIPS 2023
Characterizing pre-trained and task-adapted molecular representations
- - Celia Cintas
  - Payel Das
  - et al.
- 2023
- NeurIPS 2023
AlphaFold Distillation for Protein Design
- - Igor Melnyk
  - Aurelie Lozano
  - et al.
- 2023
- NeurIPS 2023
Equi-Tuning: Group Equivariant Fine-Tuning of Pretrained Models
- - Sourya Basu
  - Prasanna Sattigeri
  - et al.
- 2023
- AAAI 2023
Accelerating Material Design with the Generative Toolkit for Scientific Discovery (GT4SD)
- - Matteo Manica
  - Joris Cadow
  - et al.
- 2022
- MRS Fall Meeting 2022
Accelerating Material Design with the Generative Toolkit for Scientific Discovery (GT4SD)
- - Matteo Manica
  - Joris Cadow
  - et al.
- 2022
- ACS Fall 2022
Protein Representation Learning by Geometric Structure Pretraining
- - Zuobai Zhang
  - Minghao Xu
  - et al.
- 2022
- ICML 2022