AdaLead: A simple and robust adaptive greedy search algorithm for
sequence design

AdaLead: A simple and robust adaptive greedy search algorithm for sequence design

5 October 2020

Alexander Whatley

Papers citing "AdaLead: A simple and robust adaptive greedy search algorithm for sequence design"

9 / 9 papers shown

Title
Energy Matching: Unifying Flow Matching and Energy-Based Models for Generative Modeling Michal Balcerak Tamaz Amiranashvili Suprosanna Shit Antonio Terpin Sebastian Kaltenbach P. Koumoutsakos Bjoern H. Menze DiffM 22 1 0 14 Apr 2025
U-net based prediction of cerebrospinal fluid distribution and ventricular reflux grading Melanie Rieff Fabian Holzberger Oksana Lapina Geir Ringstad Lars Magnus Valnes Bogna Warsza Kent-Andre Mardal Per Kristian Eide Barbara Wohlmuth 38 3 0 06 Oct 2024
Adaptive teachers for amortized samplers Minsu Kim Sanghyeok Choi Taeyoung Yun Emmanuel Bengio Leo Feng Jarrid Rector-Brooks Sungsoo Ahn Jinkyoo Park Nikolay Malkin Yoshua Bengio 140 2 0 02 Oct 2024
Variational Search Distributions Daniel M. Steinberg Rafael Oliveira Cheng Soon Ong Edwin V. Bonilla 33 0 0 10 Sep 2024
Is novelty predictable? Clara Fannjiang Jennifer Listgarten AI4CE 17 14 0 01 Jun 2023
Designing Biological Sequences via Meta-Reinforcement Learning and Bayesian Optimization Leo Feng Padideh Nouri Aneri Muni Yoshua Bengio Pierre-Luc Bacon 108 4 0 13 Sep 2022
Bandit Theory and Thompson Sampling-Guided Directed Evolution for Sequence Optimization Hui Yuan Chengzhuo Ni Huazheng Wang Xuezhou Zhang Le Cong Csaba Szepesvári Mengdi Wang 18 2 0 05 Jun 2022
Fourier Representations for Black-Box Optimization over Categorical Variables Hamid Dadkhahi Jesus Rios Karthikeyan Shanmugam Payel Das 17 11 0 08 Feb 2022
Design by adaptive sampling David H. Brookes Jennifer Listgarten TPM 39 65 0 08 Oct 2018