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. 2405.19673
  4. Cited By
Bridging Model-Based Optimization and Generative Modeling via
  Conservative Fine-Tuning of Diffusion Models

Bridging Model-Based Optimization and Generative Modeling via Conservative Fine-Tuning of Diffusion Models

30 May 2024
Masatoshi Uehara
Yulai Zhao
Ehsan Hajiramezanali
Gabriele Scalia
Gökçen Eraslan
Avantika Lal
Sergey Levine
Tommaso Biancalani
ArXivPDFHTML

Papers citing "Bridging Model-Based Optimization and Generative Modeling via Conservative Fine-Tuning of Diffusion Models"

10 / 10 papers shown
Title
Fine-Tuning Discrete Diffusion Models via Reward Optimization with Applications to DNA and Protein Design
Fine-Tuning Discrete Diffusion Models via Reward Optimization with Applications to DNA and Protein Design
Chenyu Wang
Masatoshi Uehara
Yichun He
Amy Wang
Tommaso Biancalani
Avantika Lal
Tommi Jaakkola
Sergey Levine
Hanchen Wang
Aviv Regev
41
8
0
17 Oct 2024
Cliqueformer: Model-Based Optimization with Structured Transformers
Cliqueformer: Model-Based Optimization with Structured Transformers
J. Kuba
Pieter Abbeel
Sergey Levine
OffRL
AI4CE
36
2
0
17 Oct 2024
Maximum Entropy Inverse Reinforcement Learning of Diffusion Models with
  Energy-Based Models
Maximum Entropy Inverse Reinforcement Learning of Diffusion Models with Energy-Based Models
Sangwoong Yoon
Himchan Hwang
Dohyun Kwon
Yung-Kyun Noh
Frank C. Park
14
2
0
30 Jun 2024
Adding Conditional Control to Diffusion Models with Reinforcement Learning
Adding Conditional Control to Diffusion Models with Reinforcement Learning
Yulai Zhao
Masatoshi Uehara
Gabriele Scalia
Tommaso Biancalani
Sergey Levine
Ehsan Hajiramezanali
Ehsan Hajiramezanali
AI4CE
46
3
0
17 Jun 2024
Dirichlet Flow Matching with Applications to DNA Sequence Design
Dirichlet Flow Matching with Applications to DNA Sequence Design
Hannes Stärk
Bowen Jing
Chenyu Wang
Gabriele Corso
Bonnie Berger
Regina Barzilay
Tommi Jaakkola
BDL
36
45
0
08 Feb 2024
Generative Flows on Discrete State-Spaces: Enabling Multimodal Flows
  with Applications to Protein Co-Design
Generative Flows on Discrete State-Spaces: Enabling Multimodal Flows with Applications to Protein Co-Design
Andrew Campbell
Jason Yim
Regina Barzilay
Tom Rainforth
Tommi Jaakkola
AI4CE
60
96
0
07 Feb 2024
Training language models to follow instructions with human feedback
Training language models to follow instructions with human feedback
Long Ouyang
Jeff Wu
Xu Jiang
Diogo Almeida
Carroll L. Wainwright
...
Amanda Askell
Peter Welinder
Paul Christiano
Jan Leike
Ryan J. Lowe
OSLM
ALM
301
11,730
0
04 Mar 2022
Pessimistic Model-based Offline Reinforcement Learning under Partial
  Coverage
Pessimistic Model-based Offline Reinforcement Learning under Partial Coverage
Masatoshi Uehara
Wen Sun
OffRL
89
144
0
13 Jul 2021
Continuous Doubly Constrained Batch Reinforcement Learning
Continuous Doubly Constrained Batch Reinforcement Learning
Rasool Fakoor
Jonas W. Mueller
Kavosh Asadi
Pratik Chaudhari
Alex Smola
OffRL
191
23
0
18 Feb 2021
Offline Reinforcement Learning: Tutorial, Review, and Perspectives on
  Open Problems
Offline Reinforcement Learning: Tutorial, Review, and Perspectives on Open Problems
Sergey Levine
Aviral Kumar
George Tucker
Justin Fu
OffRL
GP
321
1,662
0
04 May 2020
1