:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Authors:	Martinů, Jan, Šimánek, Petr
Format:	Preprint
Published:	2024
Subjects:	Machine Learning Artificial Intelligence
Online Access:	https://arxiv.org/abs/2406.04099
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Geometry- and Relation-Aware Diffusion for EEG Super-Resolution
by: Yao, Laura, et al.
Published: (2026)

A Scale-Adaptive Framework for Joint Spatiotemporal Super-Resolution with Diffusion Models
by: Defez, Max, et al.
Published: (2026)

Enhancing Fractional Gradient Descent with Learned Optimizers
by: Sobotka, Jan, et al.
Published: (2025)

Physics-Assisted and Topology-Informed Deep Learning for Weather Prediction
by: Zheng, Jiaqi, et al.
Published: (2025)

Diffusion-Based, Data-Assimilation-Enabled Super-Resolution of Hub-height Winds
by: Ma, Xiaolong, et al.
Published: (2025)

Deep Learning Meets Teleconnections: Improving S2S Predictions for European Winter Weather
by: Bommer, Philine L., et al.
Published: (2025)

Diffusion Models, Image Super-Resolution And Everything: A Survey
by: Moser, Brian B., et al.
Published: (2024)

Dynamic Attention-Guided Diffusion for Image Super-Resolution
by: Moser, Brian B., et al.
Published: (2023)

Weather Prediction with Diffusion Guided by Realistic Forecast Processes
by: Hua, Zhanxiang, et al.
Published: (2024)

Alquist 5.0: Dialogue Trees Meet Generative Models. A Novel Approach for Enhancing SocialBot Conversations
by: Kobza, Ondřej, et al.
Published: (2023)

Hybrid Deep Learning for Hyperspectral Single Image Super-Resolution
by: Muhammad, Usman, et al.
Published: (2025)

ScaleDiff: Higher-Resolution Image Synthesis via Efficient and Model-Agnostic Diffusion
by: Koh, Sungho, et al.
Published: (2025)

Enhancing Deep Knowledge Tracing via Diffusion Models for Personalized Adaptive Learning
by: Kuo, Ming, et al.
Published: (2024)

DeepMedcast: A Deep Learning Method for Generating Intermediate Weather Forecasts among Multiple NWP Models
by: Kudo, Atsushi
Published: (2024)

Factor Decorrelation Enhanced Data Removal from Deep Predictive Models
by: Yang, Wenhao, et al.
Published: (2025)

Impact of Employing Weather Forecast Data as Input to the Estimation of Evapotranspiration by Deep Neural Network Models
by: Vaz, Pedro J., et al.
Published: (2024)

Text-to-Level Diffusion Models With Various Text Encoders for Super Mario Bros
by: Schrum, Jacob, et al.
Published: (2025)

Robust Calibration For Improved Weather Prediction Under Distributional Shift
by: Gilda, Sankalp, et al.
Published: (2024)

Machine Learning Models for Soil Parameter Prediction Based on Satellite, Weather, Clay and Yield Data
by: Kammerlander, Calvin, et al.
Published: (2025)

Diffusion Model Predictive Control
by: Zhou, Guangyao, et al.
Published: (2024)

Bridging the Gap Between Bayesian Deep Learning and Ensemble Weather Forecasts
by: Xiong, Xinlei, et al.
Published: (2025)

Sparse Inducing Points in Deep Gaussian Processes: Enhancing Modeling with Denoising Diffusion Variational Inference
by: Xu, Jian, et al.
Published: (2024)

WIND: Weather Inverse Diffusion for Zero-Shot Atmospheric Modeling
by: Aich, Michael, et al.
Published: (2026)

Steering Masked Discrete Diffusion Models via Discrete Denoising Posterior Prediction
by: Rector-Brooks, Jarrid, et al.
Published: (2024)

ExtremeCast: Boosting Extreme Value Prediction for Global Weather Forecast
by: Xu, Wanghan, et al.
Published: (2024)

Predicting Stress in Two-phase Random Materials and Super-Resolution Method for Stress Images by Embedding Physical Information
by: Xing, Tengfei, et al.
Published: (2025)

Conformal Prediction Sets for Deep Generative Models via Reduction to Conformal Regression
by: Shahrokhi, Hooman, et al.
Published: (2025)

Cellular Traffic Prediction via Deep State Space Models with Attention Mechanism
by: Ma, Hui, et al.
Published: (2025)

ClimateLLM: Efficient Weather Forecasting via Frequency-Aware Large Language Models
by: Li, Shixuan, et al.
Published: (2025)

Zoomed In, Diffused Out: Towards Local Degradation-Aware Multi-Diffusion for Extreme Image Super-Resolution
by: Moser, Brian B., et al.
Published: (2024)

Predicting Solar Energy Generation with Machine Learning based on AQI and Weather Features
by: Shah, Arjun, et al.
Published: (2024)

Agricultural Recommendation System based on Deep Learning: A Multivariate Weather Forecasting Approach
by: Zubair, Md, et al.
Published: (2024)

Generalizing Weather Forecast to Fine-grained Temporal Scales via Physics-AI Hybrid Modeling
by: Xu, Wanghan, et al.
Published: (2024)

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

Understanding and Enhancing the Planning Capability of Language Models via Multi-Token Prediction
by: Zhong, Qimin, et al.
Published: (2025)

DeepPhysiNet: Bridging Deep Learning and Atmospheric Physics for Accurate and Continuous Weather Modeling
by: Li, Wenyuan, et al.
Published: (2024)

Hybrid SARIMA LSTM Model for Local Weather Forecasting: A Residual Learning Approach for Data Driven Meteorological Prediction
by: Rajeev, Shreyas, et al.
Published: (2026)

Enhancing Microgrid Performance Prediction with Attention-based Deep Learning Models
by: Maddineni, Vinod Kumar, et al.
Published: (2024)

Chain-of-Zoom: Extreme Super-Resolution via Scale Autoregression and Preference Alignment
by: Kim, Bryan Sangwoo, et al.
Published: (2025)

Automated Spatio-Temporal Weather Modeling for Load Forecasting
by: Keisler, Julie, et al.
Published: (2024)