Cover Image

QDeepGR4J: Quantile-based ensemble of deep learning and GR4J hybrid rainfall-runoff models for extreme flow prediction with uncertainty quantification

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Kapoor, Arpit, Chandra, Rohitash
Format:	Preprint
Published:	2025
Subjects:	Machine Learning Artificial Intelligence
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Quantile deep learning models for multi-step ahead time series prediction
by: Cheung, Jimmy, et al.
Published: (2024)

Extreme value forecasting using relevance-based data augmentation with deep learning models
by: Hua, Junru, et al.
Published: (2025)

Spatiotemporal deep learning models for detection of rapid intensification in cyclones
by: Sutar, Vamshika, et al.
Published: (2025)

Bayes-CATSI: A variational Bayesian deep learning framework for medical time series data imputation
by: Kulkarni, Omkar, et al.
Published: (2024)

Ensemble quantile-based deep learning framework for streamflow and flood prediction in Australian catchments
by: Chandra, Rohitash, et al.
Published: (2024)

Remote sensing data imputation using deep learning for multispectral imagery
by: Liua, Shuang, et al.
Published: (2026)

Multiview graph dual-attention deep learning and contrastive learning for multi-criteria recommender systems
by: Forouzandeh, Saman, et al.
Published: (2025)

Recursive deep learning framework for forecasting the decadal world economic outlook
by: Wang, Tianyi, et al.
Published: (2023)

GR-3 Technical Report
by: Cheang, Chilam, et al.
Published: (2025)

Global Ease of Living Index: a machine learning framework for longitudinal analysis of major economies
by: Panat, Tanay, et al.
Published: (2025)

A longitudinal sentiment analysis of Sinophobia during COVID-19 using large language models
by: Wang, Chen, et al.
Published: (2024)

Bayesian neural networks via MCMC: a Python-based tutorial
by: Chandra, Rohitash, et al.
Published: (2023)

Deep learning framework for crater detection and identification on the Moon and Mars
by: Ma, Yihan, et al.
Published: (2025)

DynBERG: Dynamic BERT-based Graph neural network for financial fraud detection
by: Kulkarni, Omkar, et al.
Published: (2025)

Abusive text transformation using LLMs
by: Chandra, Rohitash, et al.
Published: (2025)

Adaptive GR(1) Specification Repair for Liveness-Preserving Shielding in Reinforcement Learning
by: Georgescu, Tiberiu-Andrei, et al.
Published: (2025)

Abusive music and song transformation using GenAI and LLMs
by: Choi, Jiyang, et al.
Published: (2026)

SynGR: Unleashing the Potential of Cross-Modal Synergy for Generative Recommendation
by: Chen, Wei, et al.
Published: (2026)

GR-Agent: Adaptive Graph Reasoning Agent under Incomplete Knowledge
by: Zhou, Dongzhuoran, et al.
Published: (2025)

GR-LLMs: Recent Advances in Generative Recommendation Based on Large Language Models
by: Yang, Zhen, et al.
Published: (2025)

GFlowGR: Fine-tuning Generative Recommendation Frameworks with Generative Flow Networks
by: Wang, Yejing, et al.
Published: (2025)

GR-Ben: A General Reasoning Benchmark for Evaluating Process Reward Models
by: Sun, Zhouhao, et al.
Published: (2026)

A comparative study of conformal prediction methods for valid uncertainty quantification in machine learning
by: Dewolf, Nicolas
Published: (2024)

GR-NLP-TOOLKIT: An Open-Source NLP Toolkit for Modern Greek
by: Loukas, Lefteris, et al.
Published: (2024)

The challenge of uncertainty quantification of large language models in medicine
by: Atf, Zahra, et al.
Published: (2025)

GR00T N1: An Open Foundation Model for Generalist Humanoid Robots
by: NVIDIA, et al.
Published: (2025)

GR-MG: Leveraging Partially Annotated Data via Multi-Modal Goal-Conditioned Policy
by: Li, Peiyan, et al.
Published: (2024)

Evaluation of Google Translate for Mandarin Chinese translation using sentiment and semantic analysis
by: Wang, Xuechun, et al.
Published: (2024)

Longitudinal Abuse and Sentiment Analysis of Hollywood Movie Dialogues using Language Models
by: Chandra, Rohitash, et al.
Published: (2025)

An evaluation of LLMs and Google Translate for translation of selected Indian languages via sentiment and semantic analyses
by: Chandra, Rohitash, et al.
Published: (2025)

Permutative redundancy and uncertainty of the objective in deep learning
by: Glukhov, Vacslav
Published: (2024)

Language models for longitudinal analysis of abusive content in Billboard Music Charts
by: Chandra, Rohitash, et al.
Published: (2025)

MedGR$^2$: Breaking the Data Barrier for Medical Reasoning via Generative Reward Learning
by: Zhi, Weihai, et al.
Published: (2025)

Spacetime-GR: A Spacetime-Aware Generative Model for Large Scale Online POI Recommendation
by: Lin, Haitao, et al.
Published: (2025)

Landcover classification and change detection using remote sensing and machine learning: a case study of Western Fiji
by: Gurjar, Yadvendra, et al.
Published: (2025)

Generative ensemble deep learning severe weather prediction from a deterministic convection-allowing model
by: Sha, Yingkai, et al.
Published: (2023)

From KAN to GR-KAN: Advancing Speech Enhancement with KAN-Based Methodology
by: Li, Haoyang, et al.
Published: (2024)

HiGR: Efficient Generative Slate Recommendation via Hierarchical Planning and Multi-Objective Preference Alignment
by: Pang, Yunsheng, et al.
Published: (2025)

An evaluation of LLMs for generating movie reviews: GPT-4o, Gemini-2.0 and DeepSeek-V3
by: Sands, Brendan, et al.
Published: (2025)

BiGR: Harnessing Binary Latent Codes for Image Generation and Improved Visual Representation Capabilities
by: Hao, Shaozhe, et al.
Published: (2024)