Reprogramming Pretrained Language Models for Antibody Sequence Infilling

Reprogramming Pretrained Language Models for Antibody Sequence Infilling

5 October 2022

Vijil Chenthamarakshan

Amit Dhurandhar

Papers citing "Reprogramming Pretrained Language Models for Antibody Sequence Infilling"

9 / 9 papers shown

Title
Decoupled Sequence and Structure Generation for Realistic Antibody Design Nayoung Kim Minsu Kim Sungsoo Ahn Jinkyoo Park 47 0 0 20 Jan 2025
Forget Vectors at Play: Universal Input Perturbations Driving Machine Unlearning in Image Classification Changchang Sun Ren Wang Yihua Zhang Jinghan Jia Jiancheng Liu Gaowen Liu Sijia Liu Yan Yan AAML MU 93 0 0 21 Dec 2024
Time-LLM: Time Series Forecasting by Reprogramming Large Language Models Ming Jin Shiyu Wang Lintao Ma Zhixuan Chu James Y. Zhang ... Pin-Yu Chen Yuxuan Liang Yuan-Fang Li Shirui Pan Qingsong Wen AI4TS 38 354 0 03 Oct 2023
Protein Structure and Sequence Generation with Equivariant Denoising Diffusion Probabilistic Models N. Anand Tudor Achim DiffM 190 173 0 26 May 2022
Model Reprogramming: Resource-Efficient Cross-Domain Machine Learning Pin-Yu Chen VLM 109 58 0 22 Feb 2022
AntBO: Towards Real-World Automated Antibody Design with Combinatorial Bayesian Optimisation M. A. Khan Alexander I. Cowen-Rivers Antoine Grosnit Derrick-Goh-Xin Deik Philippe A. Robert ... Rasul Tutunov Dany Bou-Ammar Jun Wang Amos Storkey Haitham Bou-Ammar 50 22 0 29 Jan 2022
Benchmarking deep generative models for diverse antibody sequence design Igor Melnyk Payel Das Vijil Chenthamarakshan A. Lozano DiffM 42 17 0 12 Nov 2021
The Power of Scale for Parameter-Efficient Prompt Tuning Brian Lester Rami Al-Rfou Noah Constant VPVLM 280 3,848 0 18 Apr 2021
WARP: Word-level Adversarial ReProgramming Karen Hambardzumyan Hrant Khachatrian Jonathan May AAML 254 342 0 01 Jan 2021