Cover Image

Streamflow Prediction with Uncertainty Quantification for Water Management: A Constrained Reasoning and Learning Approach

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Gharsallaoui, Mohammed Amine, Singh, Bhupinderjeet, Savalkar, Supriya, Deshwal, Aryan, Yan, Yan, Kalyanaraman, Ananth, Rajagopalan, Kirti, Doppa, Janardhan Rao
Format:	Preprint
Published:	2024
Subjects:	Machine Learning Artificial Intelligence
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Attention-based Models for Snow-Water Equivalent Prediction
by: Thapa, Krishu K., et al.
Published: (2023)

ForeSWE: Forecasting Snow-Water Equivalent with an Uncertainty-Aware Attention Model
by: Thapa, Krishu K, et al.
Published: (2025)

Offline Model-Based Optimization via Policy-Guided Gradient Search
by: Chemingui, Yassine, et al.
Published: (2024)

Constraint-Adaptive Policy Switching for Offline Safe Reinforcement Learning
by: Chemingui, Yassine, et al.
Published: (2024)

Online Optimization for Offline Safe Reinforcement Learning
by: Chemingui, Yassine, et al.
Published: (2025)

Learning Surrogates for Offline Black-Box Optimization via Gradient Matching
by: Hoang, Minh, et al.
Published: (2025)

An Exploratory Study of Bayesian Prompt Optimization for Test-Driven Code Generation with Large Language Models
by: Tomar, Shlok, et al.
Published: (2025)

AgAID Institute—AI for agricultural labor and decision support
by: Alan Fern, et al.
Published: (2024)

FARe: Fault-Aware GNN Training on ReRAM-based PIM Accelerators
by: Dhingra, Pratyush, et al.
Published: (2024)

Conformal Prediction for Class-wise Coverage via Augmented Label Rank Calibration
by: Shi, Yuanjie, et al.
Published: (2024)

Machine Learning Enabled Design and Optimization for 3D‐Printing of High‐Fidelity Presurgical Organ Models
by: Eric S. Chen, et al.
Published: (2024)

Direct Prediction Set Minimization via Bilevel Conformal Classifier Training
by: Shi, Yuanjie, et al.
Published: (2025)

Conformal Margin Risk Minimization: An Envelope Framework for Robust Learning under Label Noise
by: Shi, Yuanjie, et al.
Published: (2026)

Pareto Front-Diverse Batch Multi-Objective Bayesian Optimization
by: Ahmadianshalchi, Alaleh, et al.
Published: (2024)

HeTraX: Energy Efficient 3D Heterogeneous Manycore Architecture for Transformer Acceleration
by: Dhingra, Pratyush, et al.
Published: (2024)

Atleus: Accelerating Transformers on the Edge Enabled by 3D Heterogeneous Manycore Architectures
by: Dhingra, Pratyush, et al.
Published: (2025)

Clinician-in-the-Loop Smart Home System to Detect Urinary Tract Infection Flare-Ups via Uncertainty-Aware Decision Support
by: Ugwu, Chibuike E., et al.
Published: (2025)

Discovery of Feasible 3D Printing Configurations for Metal Alloys via AI-driven Adaptive Experimental Design
by: Fadhel, Azza, et al.
Published: (2026)

COM-BOM: Bayesian Exemplar Search for Efficiently Exploring the Accuracy-Calibration Pareto Frontier
by: Luo, Gaoxiang, et al.
Published: (2025)

Non-Myopic Multi-Objective Bayesian Optimization
by: Belakaria, Syrine, et al.
Published: (2024)

Effectiveness of Tree-based Ensembles for Anomaly Discovery: Insights, Batch and Streaming Active Learning
by: Das, Shubhomoy, et al.
Published: (2019)

Designing High-Performance and Thermally Feasible Multi-Chiplet Architectures enabled by Non-bendable Glass Interposer
by: Sharma, Harsh, et al.
Published: (2025)

Quantification of Different Uncertainties in Streamflow Simulations and Their Propagation Across Multiple Catchments
by: Mehnaza Akhter, et al.
Published: (2026)

A Heterogeneous Chiplet Architecture for Accelerating End-to-End Transformer Models
by: Sharma, Harsh, et al.
Published: (2023)

Dataflow-Aware PIM-Enabled Manycore Architecture for Deep Learning Workloads
by: Sharma, Harsh, et al.
Published: (2024)

Exponentially Consistent Nonparametric Linkage-Based Clustering of Data Sequences
by: Singh, Bhupender, et al.
Published: (2024)

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

Actively Learning to Coordinate in Convex Games via Approximate Correlated Equilibrium
by: Fang, Zhenlong, et al.
Published: (2025)

Active Learning for Derivative-Based Global Sensitivity Analysis with Gaussian Processes
by: Belakaria, Syrine, et al.
Published: (2024)

An Integrated Epidemic Simulation Workflow for Submodular Intervention Strategies
by: Barik, Reet, et al.
Published: (2024)

Authenticated Workflows: A Systems Approach to Protecting Agentic AI
by: Rajagopalan, Mohan, et al.
Published: (2026)

THERMOS: Thermally-Aware Multi-Objective Scheduling of AI Workloads on Heterogeneous Multi-Chiplet PIM Architectures
by: Kanani, Alish, et al.
Published: (2025)

HePGA: A Heterogeneous Processing-in-Memory based GNN Training Accelerator
by: Ogbogu, Chukwufumnanya, et al.
Published: (2025)

CHIPSIM: A Co-Simulation Framework for Deep Learning on Chiplet-Based Systems
by: Pfromm, Lukas, et al.
Published: (2025)

Sample-Efficient Bayesian Optimization with Transfer Learning for Heterogeneous Search Spaces
by: Deshwal, Aryan, et al.
Published: (2024)

Look-Up Table based Neural Network Hardware
by: Sen, Ovishake, et al.
Published: (2024)

Optimizing Information Freshness for Wireless Local Area Networks with Multiple APs
by: Rajagopalan, Ananth Ram, et al.
Published: (2026)

Quantifying Streamflow Prediction Uncertainty Through Process‐Aware Data‐Driven Models
by: Abhinanda Roy, et al.
Published: (2024)

Value-based Resource Matching with Fairness Criteria: Application to Agricultural Water Trading
by: Adiga, Abhijin, et al.
Published: (2024)

Influence of Buddhism On Feminism in the Modern Society
by: Deepika Deshwal
Published: (2021)