Image de couverture de livre

Optimal trajectory-guided stochastic co-optimization for e-fuel system design and real-time operation

Fuente: arXiv

Enregistré dans:

Détails bibliographiques
Auteurs principaux:	Kim, Jeongdong, Kim, Minsu, Na, Jonggeol, Kim, Junghwan
Format:	Preprint
Publié:	2026
Sujets:	Machine Learning Artificial Intelligence
Accès en ligne:	Acceder al recurso
Tags:	Ajouter un tag Pas de tags, Soyez le premier à ajouter un tag!

Documents similaires

Analysis of the Memorization and Generalization Capabilities of AI Agents: Are Continual Learners Robust?
par: Kim, Minsu, et autres
Publié: (2023)

Swap-guided Preference Learning for Personalized Reinforcement Learning from Human Feedback
par: Kim, Gihoon, et autres
Publié: (2026)

Fair Class-Incremental Learning using Sample Weighting
par: Park, Jaeyoung, et autres
Publié: (2024)

Locally Convex Global Loss Network for Decision-Focused Learning
par: Jeon, Haeun, et autres
Publié: (2024)

A CNN-Based Technique to Assist Layout-to-Generator Conversion for Analog Circuits
par: Jeong, Sungyu, et autres
Publié: (2025)

DIAR: Diffusion-model-guided Implicit Q-learning with Adaptive Revaluation
par: Park, Jaehyun, et autres
Publié: (2024)

Grouped Differential Attention
par: Lim, Junghwan, et autres
Publié: (2025)

Active Attacks: Red-teaming LLMs via Adaptive Environments
par: Yun, Taeyoung, et autres
Publié: (2025)

Knowledge-guided generative surrogate modeling for high-dimensional design optimization under scarce data
par: Wang, Bingran, et autres
Publié: (2026)

Test-time Alignment of Diffusion Models without Reward Over-optimization
par: Kim, Sunwoo, et autres
Publié: (2025)

State-of-Health Prediction for EV Lithium-Ion Batteries via DLinear and Robust Explainable Feature Selection
par: Kim, Minsu, et autres
Publié: (2025)

FlickerFusion: Intra-trajectory Domain Generalizing Multi-Agent RL
par: Koh, Woosung, et autres
Publié: (2024)

Battling the Non-stationarity in Time Series Forecasting via Test-time Adaptation
par: Kim, HyunGi, et autres
Publié: (2025)

Unveiling the Significance of Toddler-Inspired Reward Transition in Goal-Oriented Reinforcement Learning
par: Park, Junseok, et autres
Publié: (2024)

Learning-augmented robotic automation for real-world manufacturing
par: Kim, Yunho, et autres
Publié: (2026)

PIANO: Physics-informed Dual Neural Operator for Precipitation Nowcasting
par: Chin, Seokhyun, et autres
Publié: (2025)

GradMix: Gradient-based Selective Mixup for Robust Data Augmentation in Class-Incremental Learning
par: Kim, Minsu, et autres
Publié: (2025)

Lookahead Sample Reward Guidance for Test-Time Scaling of Diffusion Models
par: Kim, Yeongmin, et autres
Publié: (2026)

LeMoF: Level-guided Multimodal Fusion for Heterogeneous Clinical Data
par: Kim, Jongseok, et autres
Publié: (2026)

GraphT5: Unified Molecular Graph-Language Modeling via Multi-Modal Cross-Token Attention
par: Kim, Sangyeup, et autres
Publié: (2025)

Importance Analysis for Dynamic Control of Balancing Parameter in a Simple Knowledge Distillation Setting
par: Kim, Seongmin, et autres
Publié: (2025)

TANDEM: Temporal Attention-guided Neural Differential Equations for Missingness in Time Series Classification
par: Oh, YongKyung, et autres
Publié: (2025)

Feature Structure Distillation with Centered Kernel Alignment in BERT Transferring
par: Jung, Hee-Jun, et autres
Publié: (2022)

Optimal Power Allocation and Sub-Optimal Channel Assignment for Downlink NOMA Systems Using Deep Reinforcement Learning
par: Kim, WooSeok, et autres
Publié: (2026)

Contrastive Residual Energy Test-time Adaptation
par: Han, Yewon, et autres
Publié: (2025)

Motif 2.6B Technical Report
par: Lim, Junghwan, et autres
Publié: (2025)

SpaFL: Communication-Efficient Federated Learning with Sparse Models and Low computational Overhead
par: Kim, Minsu, et autres
Publié: (2024)

Adaptive Inference-Time Scaling via Cyclic Diffusion Search
par: Lee, Gyubin, et autres
Publié: (2025)

Inverse Reinforcement Learning without an Optimal Demonstrator: A Feasible Reward Set Approach
par: Kim, Kihyun, et autres
Publié: (2026)

Discrete Diffusion Schrödinger Bridge Matching for Graph Transformation
par: Kim, Jun Hyeong, et autres
Publié: (2024)

vTrain: A Simulation Framework for Evaluating Cost-effective and Compute-optimal Large Language Model Training
par: Bang, Jehyeon, et autres
Publié: (2023)

Text2Chart31: Instruction Tuning for Chart Generation with Automatic Feedback
par: Zadeh, Fatemeh Pesaran, et autres
Publié: (2024)

ODIM: Outlier Detection via Likelihood of Under-Fitted Generative Models
par: Kim, Dongha, et autres
Publié: (2023)

GFlowPO: Generative Flow Network as a Language Model Prompt Optimizer
par: Cho, Junmo, et autres
Publié: (2026)

Hybrid Spectro-Temporal Fusion Framework for Structural Health Monitoring
par: Kim, Jongyeop, et autres
Publié: (2026)

Decision MetaMamba: Enhancing Selective SSM in Offline RL with Heterogeneous Sequence Mixing
par: Kim, Wall, et autres
Publié: (2026)

MultiModalPFN: Extending Prior-Data Fitted Networks for Multimodal Tabular Learning
par: Kim, Wall, et autres
Publié: (2026)

Multi-View Graph Convolution Network for Internal Talent Recommendation Based on Enterprise Emails
par: Kim, Soo Hyun, et autres
Publié: (2025)

Revisiting Softmax Masking: Stop Gradient for Enhancing Stability in Replay-based Continual Learning
par: Kim, Hoyong, et autres
Publié: (2023)

Communication-Efficient Federated Learning with Accelerated Client Gradient
par: Kim, Geeho, et autres
Publié: (2022)