v1v2 (latest)

Learning to Design RNA

31 December 2018

Frederic Runge

Daniel Stoll

Stefan Falkner

Katharina Eggensperger

ArXiv (abs)PDF HTML

Papers citing "Learning to Design RNA"

24 / 24 papers shown

Title
A Survey on Multi-Objective Neural Architecture Search Seyed Mahdi Shariatzadeh M. Fathy R. Berangi M. Shahverdy 221 2 0 18 Jul 2023
Towards Automated Design of Riboswitches Frederic Runge Jörg Franke Katharina Eggensperger 118 3 0 17 Jul 2023
AutoCost: Evolving Intrinsic Cost for Zero-violation Reinforcement LearningAAAI Conference on Artificial Intelligence (AAAI), 2023 Tairan He Weiye Zhao Changliu Liu OffRL 198 20 0 24 Jan 2023
Hyperparameters in Contextual RL are Highly Situational Theresa Eimer C. Benjamins Marius Lindauer 194 4 0 21 Dec 2022
Reinforcement Learning with Automated Auxiliary Loss SearchNeural Information Processing Systems (NeurIPS), 2022 Tairan He Yuge Zhang Kan Ren Minghuan Liu Che Wang Weinan Zhang Yuqing Yang Dongsheng Li 256 17 0 12 Oct 2022
Warm-starting DARTS using meta-learning Matej Grobelnik Joaquin Vanschoren AI4CE 118 1 0 12 May 2022
Contextualize Me -- The Case for Context in Reinforcement Learning C. Benjamins Theresa Eimer Frederik Schubert Aditya Mohan Sebastian Dohler André Biedenkapp Bodo Rosenhahn Katharina Eggensperger Marius Lindauer OffRL 310 45 0 09 Feb 2022
Fourier Representations for Black-Box Optimization over Categorical VariablesAAAI Conference on Artificial Intelligence (AAAI), 2022 Hamid Dadkhahi Jesus Rios Karthikeyan Shanmugam Payel Das 205 11 0 08 Feb 2022
Automated Reinforcement Learning (AutoRL): A Survey and Open ProblemsJournal of Artificial Intelligence Research (JAIR), 2022 Jack Parker-Holder Raghunandan Rajan Xingyou Song André Biedenkapp Yingjie Miao ... Vu-Linh Nguyen Roberto Calandra Aleksandra Faust Katharina Eggensperger Marius Lindauer AI4CE 301 123 0 11 Jan 2022
CARL: A Benchmark for Contextual and Adaptive Reinforcement Learning C. Benjamins Theresa Eimer Frederik Schubert André Biedenkapp Bodo Rosenhahn Katharina Eggensperger Marius Lindauer OffRL 219 27 0 05 Oct 2021
Tuning Mixed Input Hyperparameters on the Fly for Efficient Population Based AutoRLNeural Information Processing Systems (NeurIPS), 2021 Jack Parker-Holder Vu Nguyen Shaan Desai Stephen J. Roberts 142 19 0 30 Jun 2021
Graph-based Neural Architecture Search with Operation Embeddings Michail Chatzianastasis George Dasoulas Georgios Siolas Michalis Vazirgiannis AI4CE 217 11 0 11 May 2021
Deep reinforcement learning-designed radiofrequency waveform in MRINature Machine Intelligence (Nat. Mach. Intell.), 2021 Dongmyung Shin Younghoon Kim Chung‐Hyok Oh Hongjun An Juhyung Park Jiye G. Kim Jongho Lee 133 27 0 07 May 2021
Bag of Baselines for Multi-objective Joint Neural Architecture Search and Hyperparameter Optimization Julia Guerrero-Viu Sven Hauns Sergio Izquierdo Guilherme Miotto Simon Schrodi André Biedenkapp T. Elsken Difan Deng Marius Lindauer Katharina Eggensperger AI4CE 174 32 0 03 May 2021
On the Importance of Hyperparameter Optimization for Model-based Reinforcement LearningInternational Conference on Artificial Intelligence and Statistics (AISTATS), 2021 Bangnig Zhang Raghunandan Rajan Luis Pineda Nathan Lambert André Biedenkapp Kurtland Chua Katharina Eggensperger Roberto Calandra 231 106 0 26 Feb 2021
EPE-NAS: Efficient Performance Estimation Without Training for Neural Architecture SearchInternational Conference on Artificial Neural Networks (ICANN), 2021 Vasco Lopes S. Alirezazadeh L. A. Alexandre 114 49 0 16 Feb 2021
Neural representation and generation for RNA secondary structuresInternational Conference on Learning Representations (ICLR), 2021 Zichao Yan William L. Hamilton Mathieu Blanchette 105 3 0 01 Feb 2021
AutonoML: Towards an Integrated Framework for Autonomous Machine Learning D. Kedziora Katarzyna Musial Bogdan Gabrys 212 18 0 23 Dec 2020
Sample-Efficient Automated Deep Reinforcement LearningInternational Conference on Learning Representations (ICLR), 2020 Jörg Franke Gregor Koehler André Biedenkapp Katharina Eggensperger 285 45 0 03 Sep 2020
Steepest Descent Neural Architecture Optimization: Escaping Local Optimum with Signed Neural Splitting Lemeng Wu Mao Ye Qi Lei Jason D. Lee Qiang Liu 256 15 0 23 Mar 2020
Neural Architecture Evolution in Deep Reinforcement Learning for Continuous Control Jörg Franke Gregor Koehler Noor H. Awad Katharina Eggensperger 248 8 0 28 Oct 2019
MDP Playground: An Analysis and Debug Testbed for Reinforcement LearningJournal of Artificial Intelligence Research (JAIR), 2019 Raghunandan Rajan Jessica Lizeth Borja Diaz Suresh Guttikonda Fabio Ferreira André Biedenkapp Jan Ole von Hartz Katharina Eggensperger 343 6 0 17 Sep 2019
Best Practices for Scientific Research on Neural Architecture Search Marius Lindauer Katharina Eggensperger 188 151 0 05 Sep 2019
AutoDispNet: Improving Disparity Estimation With AutoMLIEEE International Conference on Computer Vision (ICCV), 2019 Tonmoy Saikia Yassine Marrakchi Arber Zela Katharina Eggensperger Thomas Brox 212 84 0 17 May 2019