Image de couverture de livre

Feedback Efficient Online Fine-Tuning of Diffusion Models

Fuente: arXiv

Enregistré dans:

Détails bibliographiques
Auteurs principaux:	Uehara, Masatoshi, Zhao, Yulai, Black, Kevin, Hajiramezanali, Ehsan, Scalia, Gabriele, Diamant, Nathaniel Lee, Tseng, Alex M, Levine, Sergey, Biancalani, Tommaso
Format:	Preprint
Publié:	2024
Sujets:	Machine Learning Artificial Intelligence Quantitative Methods
Accès en ligne:	Acceder al recurso
Tags:	Ajouter un tag Pas de tags, Soyez le premier à ajouter un tag!

Documents similaires

Understanding Reinforcement Learning-Based Fine-Tuning of Diffusion Models: A Tutorial and Review
par: Uehara, Masatoshi, et autres
Publié: (2024)

Iterative Distillation for Reward-Guided Fine-Tuning of Diffusion Models in Biomolecular Design
par: Su, Xingyu, et autres
Publié: (2025)

Fine-Tuning of Continuous-Time Diffusion Models as Entropy-Regularized Control
par: Uehara, Masatoshi, et autres
Publié: (2024)

Inference-Time Alignment in Diffusion Models with Reward-Guided Generation: Tutorial and Review
par: Uehara, Masatoshi, et autres
Publié: (2025)

Bridging Model-Based Optimization and Generative Modeling via Conservative Fine-Tuning of Diffusion Models
par: Uehara, Masatoshi, et autres
Publié: (2024)

Reward-Guided Iterative Refinement in Diffusion Models at Test-Time with Applications to Protein and DNA Design
par: Uehara, Masatoshi, et autres
Publié: (2025)

Adding Conditional Control to Diffusion Models with Reinforcement Learning
par: Zhao, Yulai, et autres
Publié: (2024)

Efficient Fine-Tuning of Single-Cell Foundation Models Enables Zero-Shot Molecular Perturbation Prediction
par: Maleki, Sepideh, et autres
Publié: (2024)

AssayBench: An Assay-Level Virtual Cell Benchmark for LLMs and Agents
par: De Brouwer, Edward, et autres
Publié: (2026)

Contextualizing biological perturbation experiments through language
par: Wu, Menghua, et autres
Publié: (2025)

Brain Tumor Segmentation in Sub-Sahara Africa with Advanced Transformer and ConvNet Methods: Fine-Tuning, Data Mixing and Ensembling
par: Musah, Toufiq, et autres
Publié: (2025)

Seq2Bind Webserver for Decoding Binding Hotspots directly from Sequences using Fine-Tuned Protein Language Models
par: Ma, Xiang, et autres
Publié: (2025)

DREAM-B3P: Dual-Stream Transformer Network Enhanced by Feedback Diffusion Model for Blood-Brain Barrier Penetrating Peptide Prediction
par: Wang, Kaijie, et autres
Publié: (2025)

Increasing certainty in systems biology models using Bayesian multimodel inference
par: Linden-Santangeli, Nathaniel, et autres
Publié: (2024)

LaGDif: Latent Graph Diffusion Model for Efficient Protein Inverse Folding with Self-Ensemble
par: Wu, Taoyu, et autres
Publié: (2024)

Dual-Timescale Memory in a Spiking Neuron-Astrocyte Network for Efficient Navigation
par: Tsybina, Yuliya, et autres
Publié: (2026)

Dynamic Search for Inference-Time Alignment in Diffusion Models
par: Li, Xiner, et autres
Publié: (2025)

Intelligent Exercise and Feedback System for Social Healthcare using LLMOps
par: Choi, Yeongrak, et autres
Publié: (2025)

Inverse resolution of spatially varying diffusion coefficient using Physics-Informed neural networks
par: Thakur, Sukirt, et autres
Publié: (2024)

Chemistry-informed Machine Learning Explains Calcium-binding Proteins Fuzzy Shape for Communicating Changes in the Atomic States of Calcium Ions
par: Zhang, Pengzhi, et autres
Publié: (2024)

CompassDock: Comprehensive Accurate Assessment Approach for Deep Learning-Based Molecular Docking in Inference and Fine-Tuning
par: Sarigun, Ahmet, et autres
Publié: (2024)

Fine scale depth regulation of invertebrate larvae around coastal fronts
par: Weidberg, Nicolas, et autres
Publié: (2024)

actifpTM: a refined confidence metric of AlphaFold2 predictions involving flexible regions
par: Varga, Julia K., et autres
Publié: (2024)

BlastDiffusion: A Latent Diffusion Model for Generating Synthetic Embryo Images to Address Data Scarcity in In Vitro Fertilization
par: Golfe, Alejandro, et autres
Publié: (2025)

Derivative-Free Guidance in Continuous and Discrete Diffusion Models with Soft Value-Based Decoding
par: Li, Xiner, et autres
Publié: (2024)

All the single cells: single-cell transcriptomics/epigenomics experimental design and analysis considerations for glial biologists
par: Prater, Katherine E., et autres
Publié: (2024)

Integrating protein sequence embeddings with structure via graph-based deep learning for single-residue property prediction
par: Michalewicz, Kevin, et autres
Publié: (2025)

ANTIPASTI: interpretable prediction of antibody binding affinity exploiting Normal Modes and Deep Learning
par: Michalewicz, Kevin, et autres
Publié: (2024)

MolCap-Arena: A Comprehensive Captioning Benchmark on Language-Enhanced Molecular Property Prediction
par: Edwards, Carl, et autres
Publié: (2024)

Serum 25-hydroxyvitamin D concentration is not associated with mental health among Aboriginal and Torres Strait Islander Peoples in Australia: a cross-sectional exploratory study
par: Neo, Belinda, et autres
Publié: (2025)

Foliar Uptake of Biocides: Statistical Assessment of Compartmental and Diffusion-Based Models
par: Sangoi, Enrico, et autres
Publié: (2025)

ProT-GFDM: A Generative Fractional Diffusion Model for Protein Generation
par: Liang, Xiao, et autres
Publié: (2025)

pAE: An Efficient Autoencoder Architecture for Modeling the Lateral Geniculate Nucleus by Integrating Feedforward and Feedback Streams in Human Visual System
par: Gorji, Moslem, et autres
Publié: (2024)

Llama-Affinity: A Predictive Antibody Antigen Binding Model Integrating Antibody Sequences with Llama3 Backbone Architecture
par: Hossain, Delower, et autres
Publié: (2025)

How high-resolution agent-based models can improve fundamental insights in tissue development and cell culturing methods
par: Van Liedekerke, Paul, et autres
Publié: (2026)

Deep Mapper: Efficient Visualization of Plausible Conformational Pathways
par: Oulhaj, Ziyad, et autres
Publié: (2024)

Efficient Approximate Methods for Design of Experiments for Copolymer Engineering
par: Mukhopadhyay, Swagatam
Publié: (2024)

A Regressor-Guided Graph Diffusion Model for Predicting Enzyme Mutations to Enhance Turnover Number
par: Yu, Xiaozhu, et autres
Publié: (2024)

A new computational model for quantifying blood flow dynamics across myogenically-active cerebral arterial networks
par: Coccarelli, Alberto, et autres
Publié: (2024)

Enhanced Mesenchymal Stem Cell Response with Preserved Biocompatibility via (MnZn)Ferrite--Polyacrylonitrile Composite Nanofiber Membranes
par: Sarac, Baran, et autres
Publié: (2025)