Saved in:
| Main Authors: | Shi, Jimeng, Shirali, Azam, Jin, Bowen, Zhou, Sizhe, Hu, Wei, Rangaraj, Rahuul, Wang, Shaowen, Han, Jiawei, Wang, Zhaonan, Lall, Upmanu, Wu, Yanzhao, Bobadilla, Leonardo, Narasimhan, Giri |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | https://arxiv.org/abs/2501.06907 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
How Effective are Large Time Series Models in Hydrology? A Study on Water Level Forecasting in Everglades
by: Rangaraj, Rahuul, et al.
Published: (2025)
by: Rangaraj, Rahuul, et al.
Published: (2025)
Retrieval-Augmented Water Level Forecasting for Everglades
by: Rangaraj, Rahuul, et al.
Published: (2025)
by: Rangaraj, Rahuul, et al.
Published: (2025)
ReFine: Boosting Time Series Prediction of Extreme Events by Reweighting and Fine-tuning
by: Shi, Jimeng, et al.
Published: (2024)
by: Shi, Jimeng, et al.
Published: (2024)
CoDiCast: Conditional Diffusion Model for Global Weather Prediction with Uncertainty Quantification
by: Shi, Jimeng, et al.
Published: (2024)
by: Shi, Jimeng, et al.
Published: (2024)
Hypercube-Based Retrieval-Augmented Generation for Scientific Question-Answering
by: Shi, Jimeng, et al.
Published: (2025)
by: Shi, Jimeng, et al.
Published: (2025)
Evaluating protein binding interfaces with PUMBA
by: Shirali, Azam, et al.
Published: (2025)
by: Shirali, Azam, et al.
Published: (2025)
Evaluating and Scoring Ebolavirus Protein-protein Docking Models Using PIsToN
by: Shirali, Azam, et al.
Published: (2025)
by: Shirali, Azam, et al.
Published: (2025)
Instability-Aware Steering of an Extreme Atmospheric River in an AI Weather Foundation Model
by: Liu, Moyan, et al.
Published: (2026)
by: Liu, Moyan, et al.
Published: (2026)
Evaluating the Predictability of Selected Weather Extremes with Aurora, an AI Weather Forecast Model
by: Huang, Qin, et al.
Published: (2026)
by: Huang, Qin, et al.
Published: (2026)
Weather Jiu-Jitsu: Climate Adaptation for the 21st Century
by: Huang, Qin, et al.
Published: (2025)
by: Huang, Qin, et al.
Published: (2025)
A 10,000-Year Global Stochastic Tropical Cyclone Catalog with Wind-Dependent Track Transitions (WHITS)
by: Nakamura, Jennifer, et al.
Published: (2026)
by: Nakamura, Jennifer, et al.
Published: (2026)
FIDLAR: Forecast-Informed Deep Learning Architecture for Flood Mitigation
by: Shi, Jimeng, et al.
Published: (2024)
by: Shi, Jimeng, et al.
Published: (2024)
Regime identification and control of extremes in the non-autonomous Lorenz model with chaos and intransitivity
by: Liu, Moyan, et al.
Published: (2025)
by: Liu, Moyan, et al.
Published: (2025)
An Attention-Based Stochastic Simulator for Multisite Extremes to Evaluate Nonstationary, Cascading Flood Risk
by: Nayak, Adam, et al.
Published: (2025)
by: Nayak, Adam, et al.
Published: (2025)
Deep Learning Models for Flood Predictions in South Florida
by: Shi, Jimeng, et al.
Published: (2023)
by: Shi, Jimeng, et al.
Published: (2023)
TaSR-RAG: Taxonomy-guided Structured Reasoning for Retrieval-Augmented Generation
by: Sun, Jiashuo, et al.
Published: (2026)
by: Sun, Jiashuo, et al.
Published: (2026)
Anomalous ENSO ocurrences: n alternate view
by: Balaji Rajagopalan, Upmanu Lall and Mark A. Cane
Published: (1997)
by: Balaji Rajagopalan, Upmanu Lall and Mark A. Cane
Published: (1997)
MultiCube-RAG for Multi-hop Question Answering
by: Shi, Jimeng, et al.
Published: (2026)
by: Shi, Jimeng, et al.
Published: (2026)
Any Model, Any Place, Any Time: Get Remote Sensing Foundation Model Embeddings On Demand
by: Ye, Dingqi, et al.
Published: (2026)
by: Ye, Dingqi, et al.
Published: (2026)
A Lagrangian-Informed Long-Term Dispatch Policy for Coupled Hydropower and Photovoltaic Systems
by: Cohn, Eliza, et al.
Published: (2025)
by: Cohn, Eliza, et al.
Published: (2025)
Real-time Coordination of Cascaded Hydropower under Decision-Dependent Uncertainty
by: Cohn, Eliza, et al.
Published: (2026)
by: Cohn, Eliza, et al.
Published: (2026)
A Bayesian Hierarchical Framework for Capturing Preference Heterogeneity in Migration Flows
by: Cutuli, Aric, et al.
Published: (2024)
by: Cutuli, Aric, et al.
Published: (2024)
Grasping the Essentials: Tailoring Large Language Models for Zero-Shot Relation Extraction
by: Zhou, Sizhe, et al.
Published: (2024)
by: Zhou, Sizhe, et al.
Published: (2024)
Accurate, Efficient, and Explainable Deep Learning Approaches for Environmental Science Problems
by: Shi, Jimeng
Published: (2026)
by: Shi, Jimeng
Published: (2026)
The Operational Impact of Registry size, Cycle length, and Blood Type Distribution in Multi-Registry Kidney Exchange Programs
by: Verma, Utkarsh, et al.
Published: (2020)
by: Verma, Utkarsh, et al.
Published: (2020)
Energy‐Efficient Clustering and Routing Algorithm Using Hybrid ABBSO With Chaotic Based Golden Eagle Optimization Algorithm for WBAN
by: A. Dinesh, et al.
Published: (2026)
by: A. Dinesh, et al.
Published: (2026)
Boosting Deep Ensembles with Learning Rate Tuning
by: Jin, Hongpeng, et al.
Published: (2024)
by: Jin, Hongpeng, et al.
Published: (2024)
The Burden of Interactive Alignment with Inconsistent Preferences
by: Shirali, Ali
Published: (2025)
by: Shirali, Ali
Published: (2025)
An Imperialist Competitive Algorithm for Persian Text Segmentation
by: Nooshin Shirali
Published: (2015)
by: Nooshin Shirali
Published: (2015)
Urban Flood Observations (UFO): A hand-labeled training and validation dataset of post-flood inundation
by: Mukherjee, Rohit, et al.
Published: (2026)
by: Mukherjee, Rohit, et al.
Published: (2026)
UniPredict: Large Language Models are Universal Tabular Classifiers
by: Wang, Ruiyu, et al.
Published: (2023)
by: Wang, Ruiyu, et al.
Published: (2023)
A Simple Yet Strong Baseline for Long-Term Conversational Memory of LLM Agents
by: Zhou, Sizhe, et al.
Published: (2025)
by: Zhou, Sizhe, et al.
Published: (2025)
The Hidden Cost of Waiting for Accurate Predictions
by: Shirali, Ali, et al.
Published: (2025)
by: Shirali, Ali, et al.
Published: (2025)
Allocation Requires Prediction Only if Inequality Is Low
by: Shirali, Ali, et al.
Published: (2024)
by: Shirali, Ali, et al.
Published: (2024)
Integration of Large Language Models and Traditional Deep Learning for Social Determinants of Health Prediction
by: Landes, Paul, et al.
Published: (2025)
by: Landes, Paul, et al.
Published: (2025)
G$^2$IFWI: Gradient-Coupled Diffusion Priors for Regularizing Implicit Full Waveform Inversion
by: Wang, Shaowen
Published: (2026)
by: Wang, Shaowen
Published: (2026)
Retrieval is Cheap, Show Me the Code: Executable Multi-Hop Reasoning for Retrieval-Augmented Generation
by: Sun, Jiashuo, et al.
Published: (2026)
by: Sun, Jiashuo, et al.
Published: (2026)
Convergence, Finiteness and Periodicity of Several New Algorithms of p-adic Continued Fractions
by: Wang, Zhaonan, et al.
Published: (2023)
by: Wang, Zhaonan, et al.
Published: (2023)
Pruning the Way to Reliable Policies: A Multi-Objective Deep Q-Learning Approach to Critical Care
by: Shirali, Ali, et al.
Published: (2023)
by: Shirali, Ali, et al.
Published: (2023)
CyberLLM-FINDS 2025: Instruction-Tuned Fine-tuning of Domain-Specific LLMs with Retrieval-Augmented Generation and Graph Integration for MITRE Evaluation
by: Iyer, Vasanth, et al.
Published: (2026)
by: Iyer, Vasanth, et al.
Published: (2026)
Similar Items
-
How Effective are Large Time Series Models in Hydrology? A Study on Water Level Forecasting in Everglades
by: Rangaraj, Rahuul, et al.
Published: (2025) -
Retrieval-Augmented Water Level Forecasting for Everglades
by: Rangaraj, Rahuul, et al.
Published: (2025) -
ReFine: Boosting Time Series Prediction of Extreme Events by Reweighting and Fine-tuning
by: Shi, Jimeng, et al.
Published: (2024) -
CoDiCast: Conditional Diffusion Model for Global Weather Prediction with Uncertainty Quantification
by: Shi, Jimeng, et al.
Published: (2024) -
Hypercube-Based Retrieval-Augmented Generation for Scientific Question-Answering
by: Shi, Jimeng, et al.
Published: (2025)