Multi-Scale Representation Learning for Protein Fitness Prediction
- Zuobai Zhang
- Pascal Notin
- et al.
- 2024
- NeurIPS 2024
Publications
52 results for Aurelie Lozano
MemReasoner: A Memory-augmented LLM Architecture for Multi-hop Reasoning
- Irene Ko
- Sihui Dai
- et al.
- 2024
- NeurIPS 2024
NeuroPrune: A Neuro-inspired Topological Sparse Training Algorithm for Large Language Models
- Amit Dhurandhar
- Tejaswini Pedapati
- et al.
- 2024
- ACL 2024
Larimar: Large Language Models with Episodic Memory Control
- 2024
- ICML 2024
Learning Granger Causality from Instance-wise Self-attentive Hawkes Processes
- Dongxia Wu
- Ide-San Ide
- et al.
- 2024
- AISTATS 2024
Pre-Training Protein Encoder via Siamese Sequence-Structure Diffusion Trajectory Prediction
- Zuobai Zhang
- Minghao Xu
- et al.
- 2023
- NeurIPS 2023
AlphaFold Distillation for Protein Design
- Igor Melnyk
- Aurelie Lozano
- et al.
- 2023
- NeurIPS 2023
Regularized multi-trait multi-locus linear mixed models for genome-wide association studies and genomic selection in crops
- Aurélie C. Lozano
- Hantian Ding
- et al.
- 2023
- BMC Bioinformatics
Direction Aware Positional and Structural Encoding for Directed Graph Neural Networks
- Yonas Sium
- Georgios Kollias
- et al.
- 2023
- ICASSP 2023
Protein Representation Learning by Geometric Structure Pretraining
- Zuobai Zhang
- Minghao Xu
- et al.
- 2022
- ICML 2022