ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 1912.13464
  4. Cited By
Model Inversion Networks for Model-Based Optimization

Model Inversion Networks for Model-Based Optimization

31 December 2019
Aviral Kumar
Sergey Levine
    OffRL
ArXivPDFHTML

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

12 / 62 papers shown
Title
Design-Bench: Benchmarks for Data-Driven Offline Model-Based
  Optimization
Design-Bench: Benchmarks for Data-Driven Offline Model-Based Optimization
Brandon Trabucco
Xinyang Geng
Aviral Kumar
Sergey Levine
OffRL
32
95
0
17 Feb 2022
Global Optimization Networks
Global Optimization Networks
Sen Zhao
Erez Louidor Ilan
Oleksandr Mangylov
Maya R. Gupta
26
5
0
02 Feb 2022
RoMA: Robust Model Adaptation for Offline Model-based Optimization
RoMA: Robust Model Adaptation for Offline Model-based Optimization
Sihyun Yu
Sungsoo Ahn
Le Song
Jinwoo Shin
OffRL
30
31
0
27 Oct 2021
Data-Driven Offline Optimization For Architecting Hardware Accelerators
Data-Driven Offline Optimization For Architecting Hardware Accelerators
Aviral Kumar
Amir Yazdanbakhsh
Milad Hashemi
Kevin Swersky
Sergey Levine
27
36
0
20 Oct 2021
$Δ$-UQ: Accurate Uncertainty Quantification via Anchor
  Marginalization
ΔΔΔ-UQ: Accurate Uncertainty Quantification via Anchor Marginalization
Rushil Anirudh
Jayaraman J. Thiagarajan
36
1
0
05 Oct 2021
Conservative Objective Models for Effective Offline Model-Based
  Optimization
Conservative Objective Models for Effective Offline Model-Based Optimization
Brandon Trabucco
Aviral Kumar
Xinyang Geng
Sergey Levine
OffRL
42
86
0
14 Jul 2021
Deep Extrapolation for Attribute-Enhanced Generation
Deep Extrapolation for Attribute-Enhanced Generation
Alvin Chan
Ali Madani
Ben Krause
Nikhil Naik
24
24
0
07 Jul 2021
Adaptive machine learning for protein engineering
Adaptive machine learning for protein engineering
B. Hie
Kevin Kaichuang Yang
27
80
0
10 Jun 2021
Offline Model-Based Optimization via Normalized Maximum Likelihood
  Estimation
Offline Model-Based Optimization via Normalized Maximum Likelihood Estimation
Justin Fu
Sergey Levine
OffRL
72
46
0
16 Feb 2021
A primer on model-guided exploration of fitness landscapes for
  biological sequence design
A primer on model-guided exploration of fitness landscapes for biological sequence design
Sam Sinai
Eric D. Kelsic
40
28
0
04 Oct 2020
Neural Architecture Search with Reinforcement Learning
Neural Architecture Search with Reinforcement Learning
Barret Zoph
Quoc V. Le
271
5,327
0
05 Nov 2016
Pixel Recurrent Neural Networks
Pixel Recurrent Neural Networks
Aaron van den Oord
Nal Kalchbrenner
Koray Kavukcuoglu
SSeg
GAN
266
2,550
0
25 Jan 2016
Previous
12