Design-Bench: Benchmarks for Data-Driven Offline Model-Based
Optimization

Design-Bench: Benchmarks for Data-Driven Offline Model-Based Optimization

17 February 2022

Brandon Trabucco

Papers citing "Design-Bench: Benchmarks for Data-Driven Offline Model-Based Optimization"

18 / 18 papers shown

Title
Robust Guided Diffusion for Offline Black-Box Optimization Can Chen Christopher Beckham Xue Liu Xue Liu OffRL 43 5 0 03 Jan 2025
Scalable Bayesian Optimization via Focalized Sparse Gaussian Processes Yunyue Wei Vincent Zhuang Saraswati Soedarmadji Yanan Sui 126 0 0 31 Dec 2024
Cliqueformer: Model-Based Optimization with Structured Transformers J. Kuba Pieter Abbeel Sergey Levine OffRL AI4CE 52 2 0 17 Oct 2024
Offline Model-Based Optimization by Learning to Rank Rong-Xi Tan Ke Xue Shen-Huan Lyu Haopu Shang Yao Wang Yaoyuan Wang Sheng Fu Chao Qian OffRL 81 2 0 15 Oct 2024
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
Design Editing for Offline Model-based Optimization Ye Yuan Youyuan Zhang Can Chen Haolun Wu Zixuan Li Jianmo Li James J. Clark Xue Liu 31 4 0 22 May 2024
OmniPred: Language Models as Universal Regressors Xingyou Song Oscar Li Chansoo Lee Bangding Yang Daiyi Peng Sagi Perel Yutian Chen 50 14 0 22 Feb 2024
Latent Conservative Objective Models for Data-Driven Crystal Structure Prediction Han Qi Xinyang Geng Stefano Rando Iku Ohama Aviral Kumar Sergey Levine DiffM 42 2 0 16 Oct 2023
Stochastic Generative Flow Networks L. Pan Dinghuai Zhang Moksh Jain Longbo Huang Yoshua Bengio BDL 41 30 0 19 Feb 2023
Gradient-based Bi-level Optimization for Deep Learning: A Survey Can Chen Xiangshan Chen Chen-li Ma Zixuan Liu Xue Liu 84 35 0 24 Jul 2022
RoMA: Robust Model Adaptation for Offline Model-based Optimization Sihyun Yu Sungsoo Ahn Le Song Jinwoo Shin OffRL 16 31 0 27 Oct 2021
Data-Driven Offline Optimization For Architecting Hardware Accelerators Aviral Kumar Amir Yazdanbakhsh Milad Hashemi Kevin Swersky Sergey Levine 25 36 0 20 Oct 2021
Conservative Objective Models for Effective Offline Model-Based Optimization Brandon Trabucco Aviral Kumar Xinyang Geng Sergey Levine OffRL 25 86 0 14 Jul 2021
Offline Model-Based Optimization via Normalized Maximum Likelihood Estimation Justin Fu Sergey Levine OffRL 64 46 0 16 Feb 2021
Neural Architecture Search with Reinforcement Learning Barret Zoph Quoc V. Le 264 5,326 0 05 Nov 2016
Improving neural networks by preventing co-adaptation of feature detectors Geoffrey E. Hinton Nitish Srivastava A. Krizhevsky Ilya Sutskever Ruslan Salakhutdinov VLM 266 7,634 0 03 Jul 2012