Cover Image

Constraint-Guided Prediction Refinement via Deterministic Diffusion Trajectories

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Dogoulis, Pantelis, Bernier, Fabien, Fourreau, Félix, Tit, Karim, Cordy, Maxime
Format:	Preprint
Published:	2025
Subjects:	Artificial Intelligence Machine Learning
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

KCLNet: Physics-Informed Power Flow Prediction via Constraints Projections
by: Dogoulis, Pantelis, et al.
Published: (2025)

Can Large Language Models Reason and Optimize Under Constraints?
by: Bernier, Fabien, et al.
Published: (2026)

ABS: Enforcing Constraint Satisfaction On Generated Sequences Via Automata-Guided Beam Search
by: Collura, Vincenzo, et al.
Published: (2025)

Test Time Training for AC Power Flow Surrogates via Physics and Operational Constraint Refinement
by: Dogoulis, Panteleimon, et al.
Published: (2025)

Physics Informed Reinforcement Learning with Gibbs Priors for Topology Control in Power Grids
by: Dogoulis, Pantelis, et al.
Published: (2026)

Leveraging External Factors in Household-Level Electrical Consumption Forecasting using Hypernetworks
by: Bernier, Fabien, et al.
Published: (2025)

Robustness Analysis of AI Models in Critical Energy Systems
by: Dogoulis, Pantelis, et al.
Published: (2024)

PowerGraph-LLM: Novel Power Grid Graph Embedding and Optimization with Large Language Models
by: Bernier, Fabien, et al.
Published: (2025)

Measuring Cross-Modal Synergy: A Benchmark for VLM Explainability
by: Ky, Joël Roman, et al.
Published: (2026)

Deep generative models as an adversarial attack strategy for tabular machine learning
by: Dyrmishi, Salijona, et al.
Published: (2024)

World Models via Policy-Guided Trajectory Diffusion
by: Rigter, Marc, et al.
Published: (2023)

One Model, Many Skills: Parameter-Efficient Fine-Tuning for Multitask Code Analysis
by: Akli, Amal, et al.
Published: (2026)

On the Robustness of Tabular Foundation Models: Test-Time Attacks and In-Context Defenses
by: Djilani, Mohamed, et al.
Published: (2025)

Guided Discrete Diffusion for Constraint Satisfaction Problems
by: Jung, Justin
Published: (2025)

EntroLnn: Entropy-Guided Liquid Neural Networks for Operando Refinement of Battery Capacity Fade Trajectories
by: Li, Wei, et al.
Published: (2026)

Guided Trajectory Generation with Diffusion Models for Offline Model-based Optimization
by: Yun, Taeyoung, et al.
Published: (2024)

Reliable Trajectory Prediction and Uncertainty Quantification with Conditioned Diffusion Models
by: Neumeier, Marion, et al.
Published: (2024)

EnviroPiNet: A Physics-Guided AI Model for Predicting Biofilter Performance
by: Uzma, et al.
Published: (2025)

On the Effectiveness of Hybrid Pooling in Mixup-Based Graph Learning for Language Processing
by: Dong, Zeming, et al.
Published: (2022)

ASTRO: Adaptive Stitching via Dynamics-Guided Trajectory Rollouts
by: Yu, Hang, et al.
Published: (2025)

On the Collapse Errors Induced by the Deterministic Sampler for Diffusion Models
by: Zhang, Yi, et al.
Published: (2025)

Self-Refining Diffusion Samplers: Enabling Parallelization via Parareal Iterations
by: Selvam, Nikil Roashan, et al.
Published: (2024)

UnMaskFork: Test-Time Scaling for Masked Diffusion via Deterministic Action Branching
by: Misaki, Kou, et al.
Published: (2026)

Risk-Informed Diffusion Transformer for Long-Tail Trajectory Prediction in the Crash Scenario
by: Chen, Junlan, et al.
Published: (2025)

PIVOT: Bridging Planning and Execution in LLM Agents via Trajectory Refinement
by: Zhang, Tuo, et al.
Published: (2026)

Toward Theoretical Insights into Diffusion Trajectory Distillation via Operator Merging
by: Gao, Weiguo, et al.
Published: (2025)

GARNN: An Interpretable Graph Attentive Recurrent Neural Network for Predicting Blood Glucose Levels via Multivariate Time Series
by: Piao, Chengzhe, et al.
Published: (2024)

MissHDD: Hybrid Deterministic Diffusion for Hetrogeneous Incomplete Data Imputation
by: Zhou, Youran, et al.
Published: (2025)

Modelling Customer Trajectories with Reinforcement Learning for Practical Retail Insights
by: Lee, Ken Ming, et al.
Published: (2026)

Efficient Deterministic Renewable Energy Forecasting Guided by Multiple-Location Weather Data
by: Symeonidis, Charalampos, et al.
Published: (2024)

SIGMA: Refining Large Language Model Reasoning via Sibling-Guided Monte Carlo Augmentation
by: Ren, Yanwei, et al.
Published: (2025)

Protein Counterfactuals via Diffusion-Guided Latent Optimization
by: Kłos, Weronika, et al.
Published: (2026)

More Than Routing: Joint GPS and Route Modeling for Refine Trajectory Representation Learning
by: Ma, Zhipeng, et al.
Published: (2024)

Spectral Surgery: Training-Free Refinement of LoRA via Gradient-Guided Singular Value Reweighting
by: Tian, Zailong, et al.
Published: (2026)

Accelerating Diffusion Planners in Offline RL via Reward-Aware Consistency Trajectory Distillation
by: Duan, Xintong, et al.
Published: (2025)

One Fits All: General Mobility Trajectory Modeling via Masked Conditional Diffusion
by: Long, Qingyue, et al.
Published: (2025)

DiffMove: Group Mobility Tendency Enhanced Trajectory Recovery via Diffusion Model
by: Long, Qingyue, et al.
Published: (2025)

Bridging Interpretability and Robustness Using LIME-Guided Model Refinement
by: Nayyem, Navid, et al.
Published: (2024)

Dynamic Model Selection for Trajectory Prediction via Pairwise Ranking and Meta-Features
by: Bowen, Lu
Published: (2025)

Generalizable Trajectory Prediction via Inverse Reinforcement Learning with Mamba-Graph Architecture
by: Li, Wenyun, et al.
Published: (2025)