Model Inversion Networks for Model-Based Optimization

31 December 2019

Papers citing "Model Inversion Networks for Model-Based Optimization"

50 / 62 papers shown

Title
Network Inversion for Generating Confidently Classified Counterfeits Pirzada Suhail Amit Sethi 71 0 0 26 Mar 2025
Preference-Guided Diffusion for Multi-Objective Offline Optimization Yashas Annadani Syrine Belakaria Stefano Ermon Stefan Bauer Barbara Engelhardt 50 0 0 21 Mar 2025
Offline Model-Based Optimization: Comprehensive Review Minsu Kim Jiayao Gu Ye Yuan Taeyoung Yun Ziqiang Liu Yoshua Bengio Can Chen OffRL 67 2 0 21 Mar 2025
Overconfident Oracles: Limitations of In Silico Sequence Design Benchmarking Shikha Surana Nathan Grinsztajn Timothy Atkinson Paul Duckworth Thomas D. Barrett 53 2 0 24 Feb 2025
Posterior Inference with Diffusion Models for High-dimensional Black-box Optimization Taeyoung Yun Kiyoung Om Jaewoo Lee Sujin Yun Jinkyoo Park 58 1 0 24 Feb 2025
Robust Guided Diffusion for Offline Black-Box Optimization Can Chen Christopher Beckham Xue Liu Xue Liu OffRL 46 5 0 03 Jan 2025
Network Inversion and Its Applications Pirzada Suhail Hao Tang Amit Sethi AAML 65 0 0 26 Nov 2024
Network Inversion for Training-Like Data Reconstruction Pirzada Suhail Amit Sethi FedML 29 0 0 22 Oct 2024
Cliqueformer: Model-Based Optimization with Structured Transformers J. Kuba Pieter Abbeel Sergey Levine OffRL AI4CE 62 2 0 17 Oct 2024
Sharpness-Aware Black-Box Optimization Feiyang Ye Yueming Lyu Xuehao Wang Masashi Sugiyama Yu-Jie Zhang Ivor W. Tsang AAML 47 0 0 16 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 41 0 0 06 Oct 2024
Network Inversion of Convolutional Neural Nets Pirzada Suhail Amit Sethi 42 1 0 25 Jul 2024
Diffusion-BBO: Diffusion-Based Inverse Modeling for Online Black-Box Optimization D. Wu Nikki Lijing Kuang Ruijia Niu Yi Ma Rose Yu 47 0 0 30 Jun 2024
Guided Trajectory Generation with Diffusion Models for Offline Model-based Optimization Taeyoung Yun Sujin Yun Jaewoo Lee Jinkyoo Park OffRL 54 5 0 29 Jun 2024
Offline Multi-Objective Optimization Ke Xue Rong-Xi Tan Xiaobin Huang Chao Qian OffRL 51 5 0 06 Jun 2024
GTA: Generative Trajectory Augmentation with Guidance for Offline Reinforcement Learning Jaewoo Lee Sujin Yun Taeyoung Yun Jinkyoo Park 46 7 0 27 May 2024
Latent Energy-Based Odyssey: Black-Box Optimization via Expanded Exploration in the Energy-Based Latent Space Peiyu Yu Dinghuai Zhang Hengzhi He Xiaojian Ma Ruiyao Miao ... Deqian Kong Ruiqi Gao Jianwen Xie Guang Cheng Ying Nian Wu 48 5 0 27 May 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 37 4 0 22 May 2024
Generative Enzyme Design Guided by Functionally Important Sites and Small-Molecule Substrates Zhenqiao Song Yunlong Zhao Wenxian Shi Wengong Jin Yang Yang Lei Li 37 5 0 13 May 2024
Offline Model-Based Optimization via Policy-Guided Gradient Search Yassine Chemingui Aryan Deshwal Trong Nghia Hoang J. Doppa OffRL 47 9 0 08 May 2024
SurfPro: Functional Protein Design Based on Continuous Surface Zhenqiao Song Tinglin Huang Lei Li Wengong Jin DiffM 27 2 0 07 May 2024
An Overview of Diffusion Models: Applications, Guided Generation, Statistical Rates and Optimization Minshuo Chen Song Mei Jianqing Fan Mengdi Wang VLM MedIm DiffM 37 49 0 11 Apr 2024
Diffusion Model for Data-Driven Black-Box Optimization Zihao Li Hui Yuan Kaixuan Huang Chengzhuo Ni Yinyu Ye Minshuo Chen Mengdi Wang DiffM 40 10 0 20 Mar 2024
Diffusion Models as Constrained Samplers for Optimization with Unknown Constraints Lingkai Kong Yuanqi Du Wenhao Mu Kirill Neklyudov Valentin De Bortol ... D. Wu Aaron Ferber Yi Ma Carla P. Gomes Chao Zhang 27 10 0 28 Feb 2024
Functional Graphical Models: Structure Enables Offline Data-Driven Optimization J. Kuba Masatoshi Uehara Pieter Abbeel Sergey Levine AI4CE 23 4 0 08 Jan 2024
From Function to Distribution Modeling: A PAC-Generative Approach to Offline Optimization Qiang Zhang Ruida Zhou Yang Shen Tie Liu OffRL 41 1 0 04 Jan 2024
ExPT: Synthetic Pretraining for Few-Shot Experimental Design Tung Nguyen Sudhanshu Agrawal Aditya Grover 27 15 0 30 Oct 2023
Denevil: Towards Deciphering and Navigating the Ethical Values of Large Language Models via Instruction Learning Shitong Duan Xiaoyuan Yi Peng Zhang T. Lu Xing Xie Ning Gu 24 9 0 17 Oct 2023
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
ROMO: Retrieval-enhanced Offline Model-based Optimization Mingcheng Chen Haoran Zhao Yuxiang Zhao Hulei Fan Hongqiao Gao Yong Yu Zheng Tian OffRL 18 1 0 11 Oct 2023
Functional Geometry Guided Protein Sequence and Backbone Structure Co-Design Justin Dumouchelle Yunlong Zhao Wenxian Shi Yang Yang Lei Li 28 2 0 06 Oct 2023
Joint Design of Protein Sequence and Structure based on Motifs Zhenqiao Song Yunlong Zhao Yufei Song Wenxian Shi Yang Yang Lei Li 3DV DiffM 35 3 0 04 Oct 2023
Physics-Driven ML-Based Modelling for Correcting Inverse Estimation Ruiyuan Kang Tingting Mu P. Liatsis D. Kyritsis 31 2 0 25 Sep 2023
Design from Policies: Conservative Test-Time Adaptation for Offline Policy Optimization Jinxin Liu Hongyin Zhang Zifeng Zhuang Yachen Kang Donglin Wang Bin Wang OffRL 44 8 0 26 Jun 2023
Diffusion Models for Black-Box Optimization S. Krishnamoorthy Satvik Mashkaria Aditya Grover DiffM 26 51 0 12 Jun 2023
Bootstrapped Training of Score-Conditioned Generator for Offline Design of Biological Sequences Minsu Kim Federico Berto Sungsoo Ahn Jinkyoo Park DD 29 18 0 05 Jun 2023
Robust Model-Based Optimization for Challenging Fitness Landscapes Saba Ghaffari Ehsan Saleh A. Schwing Yu-xiong Wang Martin D. Burke Saurabh Sinha 27 1 0 23 May 2023
Importance Weighted Expectation-Maximization for Protein Sequence Design Zhenqiao Song Lei Li 32 17 0 30 Apr 2023
EEE, Remediating the failure of machine learning models via a network-based optimization patch Ruiyuan Kang D. Kyritsis P. Liatsis 34 0 0 22 Apr 2023
Conservative objective models are a special kind of contrastive divergence-based energy model Christopher Beckham C. Pal 35 4 0 07 Apr 2023
Diffusing Gaussian Mixtures for Generating Categorical Data Florence Regol Mark J. Coates DiffM 33 5 0 08 Mar 2023
Plug & Play Directed Evolution of Proteins with Gradient-based Discrete MCMC Patrick Emami Aidan Perreault Jeffrey N. Law David J. Biagioni Peter C. St. John 25 13 0 20 Dec 2022
Data-Driven Offline Decision-Making via Invariant Representation Learning Qi Yi-Hsun Su Aviral Kumar Sergey Levine OffRL 37 19 0 21 Nov 2022
Exploring validation metrics for offline model-based optimisation with diffusion models Christopher Beckham Alexandre Piché David Vazquez Christopher Pal OffRL 22 1 0 19 Nov 2022
Forecasting labels under distribution-shift for machine-guided sequence design Laurence Wheelock Stephen Malina Jeffrey M. Gerold Sam Sinai 13 4 0 18 Nov 2022
Reliable Conditioning of Behavioral Cloning for Offline Reinforcement Learning Tung Nguyen Qinqing Zheng Aditya Grover OffRL 26 6 0 11 Oct 2022
Unsupervised Learning for Combinatorial Optimization with Principled Objective Relaxation Haoyu Wang Nan Wu Hang Yang Cong Hao Pan Li 34 30 0 13 Jul 2022
Generative Pretraining for Black-Box Optimization S. Krishnamoorthy Satvik Mashkaria Aditya Grover OffRL AI4CE 53 26 0 22 Jun 2022
How to Robustify Black-Box ML Models? A Zeroth-Order Optimization Perspective Yimeng Zhang Yuguang Yao Jinghan Jia Jinfeng Yi Min-Fong Hong Shiyu Chang Sijia Liu AAML 26 33 0 27 Mar 2022