Bridging Model-Based Optimization and Generative Modeling via Conservative Fine-Tuning of Diffusion Models
Fuente:
arXiv
Saved in:
| Main Authors: | Uehara, Masatoshi, Zhao, Yulai, Hajiramezanali, Ehsan, Scalia, Gabriele, Eraslan, Gökcen, Lal, Avantika, Levine, Sergey, Biancalani, Tommaso |
|---|---|
| Format: | Preprint |
| Published: |
2024
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Adding Conditional Control to Diffusion Models with Reinforcement Learning
by: Zhao, Yulai, et al.
Published: (2024)
by: Zhao, Yulai, et al.
Published: (2024)
Feedback Efficient Online Fine-Tuning of Diffusion Models
by: Uehara, Masatoshi, et al.
Published: (2024)
by: Uehara, Masatoshi, et al.
Published: (2024)
Understanding Reinforcement Learning-Based Fine-Tuning of Diffusion Models: A Tutorial and Review
by: Uehara, Masatoshi, et al.
Published: (2024)
by: Uehara, Masatoshi, et al.
Published: (2024)
Fine-Tuning of Continuous-Time Diffusion Models as Entropy-Regularized Control
by: Uehara, Masatoshi, et al.
Published: (2024)
by: Uehara, Masatoshi, et al.
Published: (2024)
Iterative Distillation for Reward-Guided Fine-Tuning of Diffusion Models in Biomolecular Design
by: Su, Xingyu, et al.
Published: (2025)
by: Su, Xingyu, et al.
Published: (2025)
Derivative-Free Guidance in Continuous and Discrete Diffusion Models with Soft Value-Based Decoding
by: Li, Xiner, et al.
Published: (2024)
by: Li, Xiner, et al.
Published: (2024)
Fine-Tuning Discrete Diffusion Models via Reward Optimization with Applications to DNA and Protein Design
by: Wang, Chenyu, et al.
Published: (2024)
by: Wang, Chenyu, et al.
Published: (2024)
A mechanistically interpretable neural network for regulatory genomics
by: Tseng, Alex M., et al.
Published: (2024)
by: Tseng, Alex M., et al.
Published: (2024)
Inference-Time Alignment in Diffusion Models with Reward-Guided Generation: Tutorial and Review
by: Uehara, Masatoshi, et al.
Published: (2025)
by: Uehara, Masatoshi, et al.
Published: (2025)
Dynamic Search for Inference-Time Alignment in Diffusion Models
by: Li, Xiner, et al.
Published: (2025)
by: Li, Xiner, et al.
Published: (2025)
Reward-Guided Iterative Refinement in Diffusion Models at Test-Time with Applications to Protein and DNA Design
by: Uehara, Masatoshi, et al.
Published: (2025)
by: Uehara, Masatoshi, et al.
Published: (2025)
MolCap-Arena: A Comprehensive Captioning Benchmark on Language-Enhanced Molecular Property Prediction
by: Edwards, Carl, et al.
Published: (2024)
by: Edwards, Carl, et al.
Published: (2024)
RAG-Enhanced Collaborative LLM Agents for Drug Discovery
by: Lee, Namkyeong, et al.
Published: (2025)
by: Lee, Namkyeong, et al.
Published: (2025)
Cell Morphology-Guided Small Molecule Generation with GFlowNets
by: Lu, Stephen Zhewen, et al.
Published: (2024)
by: Lu, Stephen Zhewen, et al.
Published: (2024)
Efficient Fine-Tuning of Single-Cell Foundation Models Enables Zero-Shot Molecular Perturbation Prediction
by: Maleki, Sepideh, et al.
Published: (2024)
by: Maleki, Sepideh, et al.
Published: (2024)
Functional Graphical Models: Structure Enables Offline Data-Driven Optimization
by: Kuba, Jakub Grudzien, et al.
Published: (2024)
by: Kuba, Jakub Grudzien, et al.
Published: (2024)
Hierarchically branched diffusion models leverage dataset structure for class-conditional generation
by: Tseng, Alex M., et al.
Published: (2022)
by: Tseng, Alex M., et al.
Published: (2022)
Accurate and Efficient Structural Ensemble Generation of Macrocyclic Peptides using Internal Coordinate Diffusion
by: Grambow, Colin A., et al.
Published: (2023)
by: Grambow, Colin A., et al.
Published: (2023)
DC-W2S: Dual-Consensus Weak-to-Strong Training for Reliable Process Reward Modeling in Biological Reasoning
by: Chan, Chi-Min, et al.
Published: (2026)
by: Chan, Chi-Min, et al.
Published: (2026)
Q-SFT: Q-Learning for Language Models via Supervised Fine-Tuning
by: Hong, Joey, et al.
Published: (2024)
by: Hong, Joey, et al.
Published: (2024)
Toward the Identifiability of Comparative Deep Generative Models
by: Lopez, Romain, et al.
Published: (2024)
by: Lopez, Romain, et al.
Published: (2024)
Cliqueformer: Model-Based Optimization with Structured Transformers
by: Kuba, Jakub Grudzien, et al.
Published: (2024)
by: Kuba, Jakub Grudzien, et al.
Published: (2024)
Knowledgeable Language Models as Black-Box Optimizers for Personalized Medicine
by: Yao, Michael S., et al.
Published: (2025)
by: Yao, Michael S., et al.
Published: (2025)
Bridging the Simulation-to-Experiment Gap with Generative Models using Adversarial Distribution Alignment
by: Nelson, Kai, et al.
Published: (2026)
by: Nelson, Kai, et al.
Published: (2026)
KALIE: Fine-Tuning Vision-Language Models for Open-World Manipulation without Robot Data
by: Tang, Grace, et al.
Published: (2024)
by: Tang, Grace, et al.
Published: (2024)
Regularized DeepIV with Model Selection
by: Li, Zihao, et al.
Published: (2024)
by: Li, Zihao, et al.
Published: (2024)
One Step Diffusion via Shortcut Models
by: Frans, Kevin, et al.
Published: (2024)
by: Frans, Kevin, et al.
Published: (2024)
Score as Action: Fine-Tuning Diffusion Generative Models by Continuous-time Reinforcement Learning
by: Zhao, Hanyang, et al.
Published: (2025)
by: Zhao, Hanyang, et al.
Published: (2025)
Differentially Private Fine-Tuning of Diffusion Models
by: Tsai, Yu-Lin, et al.
Published: (2024)
by: Tsai, Yu-Lin, et al.
Published: (2024)
Agent-Q: Fine-Tuning Large Language Models for Quantum Circuit Generation and Optimization
by: Jern, Linus, et al.
Published: (2025)
by: Jern, Linus, et al.
Published: (2025)
Training Diffusion Models with Reinforcement Learning
by: Black, Kevin, et al.
Published: (2023)
by: Black, Kevin, et al.
Published: (2023)
Self-Play Fine-Tuning of Diffusion Models for Text-to-Image Generation
by: Yuan, Huizhuo, et al.
Published: (2024)
by: Yuan, Huizhuo, et al.
Published: (2024)
GIFT: Guided Importance-Aware Fine-Tuning for Diffusion Language Models
by: Xu, Guowei, et al.
Published: (2025)
by: Xu, Guowei, et al.
Published: (2025)
Directly Fine-Tuning Diffusion Models on Differentiable Rewards
by: Clark, Kevin, et al.
Published: (2023)
by: Clark, Kevin, et al.
Published: (2023)
Memory-Efficient Fine-Tuning for Quantized Diffusion Model
by: Ryu, Hyogon, et al.
Published: (2024)
by: Ryu, Hyogon, et al.
Published: (2024)
Efficient Differentially Private Fine-Tuning of Diffusion Models
by: Liu, Jing, et al.
Published: (2024)
by: Liu, Jing, et al.
Published: (2024)
Reward Sharpness-Aware Fine-Tuning for Diffusion Models
by: Kim, Kwanyoung, et al.
Published: (2026)
by: Kim, Kwanyoung, et al.
Published: (2026)
Unconditional Priors Matter! Improving Conditional Generation of Fine-Tuned Diffusion Models
by: Phunyaphibarn, Prin, et al.
Published: (2025)
by: Phunyaphibarn, Prin, et al.
Published: (2025)
Half-order Fine-Tuning for Diffusion Model: A Recursive Likelihood Ratio Optimizer
by: Ren, Tao, et al.
Published: (2025)
by: Ren, Tao, et al.
Published: (2025)
Self-Distillation Bridges Distribution Gap in Language Model Fine-Tuning
by: Yang, Zhaorui, et al.
Published: (2024)
by: Yang, Zhaorui, et al.
Published: (2024)
Similar Items
-
Adding Conditional Control to Diffusion Models with Reinforcement Learning
by: Zhao, Yulai, et al.
Published: (2024) -
Feedback Efficient Online Fine-Tuning of Diffusion Models
by: Uehara, Masatoshi, et al.
Published: (2024) -
Understanding Reinforcement Learning-Based Fine-Tuning of Diffusion Models: A Tutorial and Review
by: Uehara, Masatoshi, et al.
Published: (2024) -
Fine-Tuning of Continuous-Time Diffusion Models as Entropy-Regularized Control
by: Uehara, Masatoshi, et al.
Published: (2024) -
Iterative Distillation for Reward-Guided Fine-Tuning of Diffusion Models in Biomolecular Design
by: Su, Xingyu, et al.
Published: (2025)