Saved in:
| Main Authors: | Rozanov, Aleksei, Subedi, Samikshya, Sharma, Vasudha, Runck, Bryan C. |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | https://arxiv.org/abs/2510.11505 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
CarbonBench: A Global Benchmark for Upscaling of Carbon Fluxes Using Zero-Shot Learning
by: Rozanov, Aleksei, et al.
Published: (2026)
by: Rozanov, Aleksei, et al.
Published: (2026)
Task Aware Modulation Using Representation Learning for Upsaling of Terrestrial Carbon Fluxes
by: Rozanov, Aleksei, et al.
Published: (2026)
by: Rozanov, Aleksei, et al.
Published: (2026)
Efficient Exploration in Deep Reinforcement Learning: A Novel Bayesian Actor-Critic Algorithm
by: Rozanov, Nikolai
Published: (2024)
by: Rozanov, Nikolai
Published: (2024)
Extrapolability Improvement of Machine Learning-Based Evapotranspiration Models via Domain-Adversarial Neural Networks
by: Shi, Haiyang
Published: (2024)
by: Shi, Haiyang
Published: (2024)
Spatial Distribution-Shift Aware Knowledge-Guided Machine Learning
by: Sharma, Arun, et al.
Published: (2025)
by: Sharma, Arun, et al.
Published: (2025)
Algorithms and Scientific Software for Quasi-Monte Carlo, Fast Gaussian Process Regression, and Scientific Machine Learning
by: Sorokin, Aleksei G.
Published: (2025)
by: Sorokin, Aleksei G.
Published: (2025)
Heterogeneous Federated Learning with Prototype Alignment and Upscaling
by: Lee, Gyuejeong, et al.
Published: (2025)
by: Lee, Gyuejeong, et al.
Published: (2025)
Operator Learning: A Statistical Perspective
by: Subedi, Unique, et al.
Published: (2025)
by: Subedi, Unique, et al.
Published: (2025)
On the Benefits of Active Data Collection in Operator Learning
by: Subedi, Unique, et al.
Published: (2024)
by: Subedi, Unique, et al.
Published: (2024)
Emotional EEG Classification using Upscaled Connectivity Matrices
by: Lee, Chae-Won, et al.
Published: (2025)
by: Lee, Chae-Won, et al.
Published: (2025)
The Biosecurity Blind Spot: Systematic Dual-use Detection in Open Science Infrastructure
by: Sharma, Vasudha, et al.
Published: (2026)
by: Sharma, Vasudha, et al.
Published: (2026)
Towards Fine-Tuning-Based Site Calibration for Knowledge-Guided Machine Learning: A Summary of Results
by: Zeng, Ruolei, et al.
Published: (2025)
by: Zeng, Ruolei, et al.
Published: (2025)
Is Zero-Shot Super-Resolution Possible in Operator Learning?
by: Subedi, Unique, et al.
Published: (2026)
by: Subedi, Unique, et al.
Published: (2026)
Controlling Statistical, Discretization, and Truncation Errors in Learning Fourier Linear Operators
by: Subedi, Unique, et al.
Published: (2024)
by: Subedi, Unique, et al.
Published: (2024)
A Gradient Boosted Mixed-Model Machine Learning Framework for Vessel Speed in the U.S. Arctic
by: Pant, Mauli, et al.
Published: (2026)
by: Pant, Mauli, et al.
Published: (2026)
Online Learning with Set-Valued Feedback
by: Raman, Vinod, et al.
Published: (2023)
by: Raman, Vinod, et al.
Published: (2023)
Predicting VBAC Outcomes from U.S. Natality Data using Deep and Classical Machine Learning Models
by: Anand, Ananya
Published: (2025)
by: Anand, Ananya
Published: (2025)
Interpretable Machine Learning for Reservoir Water Temperatures in the U.S. Red River Basin of the South
by: Suaza-Sierra, Isabela, et al.
Published: (2025)
by: Suaza-Sierra, Isabela, et al.
Published: (2025)
Online Infinite-Dimensional Regression: Learning Linear Operators
by: Raman, Vinod, et al.
Published: (2023)
by: Raman, Vinod, et al.
Published: (2023)
Limits To (Machine) Learning
by: Chen, Zhimin, et al.
Published: (2025)
by: Chen, Zhimin, et al.
Published: (2025)
Operator Learning for Schrödinger Equation: Unitarity, Error Bounds, and Time Generalization
by: Patel, Yash, et al.
Published: (2025)
by: Patel, Yash, et al.
Published: (2025)
Multi-Criteria Comparison as a Method of Advancing Knowledge-Guided Machine Learning
by: Harman, Jason L., et al.
Published: (2024)
by: Harman, Jason L., et al.
Published: (2024)
From Specification to Architecture: A Theory Compiler for Knowledge-Guided Machine Learning
by: Hevapathige, Asela, et al.
Published: (2026)
by: Hevapathige, Asela, et al.
Published: (2026)
Empirical Upscaling of Point-scale Soil Moisture Measurements for Spatial Evaluation of Model Simulations and Satellite Retrievals
by: Yu, Yi, et al.
Published: (2024)
by: Yu, Yi, et al.
Published: (2024)
SHAP-Guided Regularization in Machine Learning Models
by: Saadallah, Amal
Published: (2025)
by: Saadallah, Amal
Published: (2025)
Improving Generalization Performance of YOLOv8 for Camera Trap Object Detection
by: Subedi, Aroj
Published: (2024)
by: Subedi, Aroj
Published: (2024)
Scientific Knowledge-Guided Machine Learning for Vessel Power Prediction: A Comparative Study
by: Bourchas, Orfeas, et al.
Published: (2026)
by: Bourchas, Orfeas, et al.
Published: (2026)
Multiclass Transductive Online Learning
by: Hanneke, Steve, et al.
Published: (2024)
by: Hanneke, Steve, et al.
Published: (2024)
StateAct: Enhancing LLM Base Agents via Self-prompting and State-tracking
by: Rozanov, Nikolai, et al.
Published: (2024)
by: Rozanov, Nikolai, et al.
Published: (2024)
Learning to Choose or Choosing to Learn: Best-of-N vs. Supervised Fine-Tuning for Bit String Generation
by: Somerstep, Seamus, et al.
Published: (2025)
by: Somerstep, Seamus, et al.
Published: (2025)
Convolutional Surrogate for 3D Discrete Fracture-Matrix Tensor Upscaling
by: Špetlík, Martin, et al.
Published: (2026)
by: Špetlík, Martin, et al.
Published: (2026)
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)
by: Vaz, Pedro J., et al.
Published: (2024)
Knowledge-Guided Machine Learning for Stabilizing Near-Shortest Path Routing
by: Chen, Yung-Fu, et al.
Published: (2025)
by: Chen, Yung-Fu, et al.
Published: (2025)
Hourly Short Term Load Forecasting for Residential Buildings and Energy Communities
by: Kychkin, Aleksei, et al.
Published: (2025)
by: Kychkin, Aleksei, et al.
Published: (2025)
How to Upscale Neural Networks with Scaling Law? A Survey and Practical Guidelines
by: Sengupta, Ayan, et al.
Published: (2025)
by: Sengupta, Ayan, et al.
Published: (2025)
Operator Learning at Machine Precision
by: Bacho, Aras, et al.
Published: (2025)
by: Bacho, Aras, et al.
Published: (2025)
Comparing Targeting Strategies for Maximizing Social Welfare with Limited Resources
by: Sharma, Vibhhu, et al.
Published: (2024)
by: Sharma, Vibhhu, et al.
Published: (2024)
Learning Metrics that Maximise Power for Accelerated A/B-Tests
by: Jeunen, Olivier, et al.
Published: (2024)
by: Jeunen, Olivier, et al.
Published: (2024)
Investigating U.S. Consumer Demand for Food Products with Innovative Transportation Certificates Based on Stated Preferences and Machine Learning Approaches
by: Bi, Jingchen, et al.
Published: (2025)
by: Bi, Jingchen, et al.
Published: (2025)
ML-SPEAK: A Theory-Guided Machine Learning Method for Studying and Predicting Conversational Turn-taking Patterns
by: O'Bryan, Lisa R., et al.
Published: (2024)
by: O'Bryan, Lisa R., et al.
Published: (2024)
Similar Items
-
CarbonBench: A Global Benchmark for Upscaling of Carbon Fluxes Using Zero-Shot Learning
by: Rozanov, Aleksei, et al.
Published: (2026) -
Task Aware Modulation Using Representation Learning for Upsaling of Terrestrial Carbon Fluxes
by: Rozanov, Aleksei, et al.
Published: (2026) -
Efficient Exploration in Deep Reinforcement Learning: A Novel Bayesian Actor-Critic Algorithm
by: Rozanov, Nikolai
Published: (2024) -
Extrapolability Improvement of Machine Learning-Based Evapotranspiration Models via Domain-Adversarial Neural Networks
by: Shi, Haiyang
Published: (2024) -
Spatial Distribution-Shift Aware Knowledge-Guided Machine Learning
by: Sharma, Arun, et al.
Published: (2025)