Saved in:
| Main Authors: | Korenyi-Both, Tyler E., Falkiewicz, Nathan J., Jones, Matthew C. |
|---|---|
| Format: | Preprint |
| Published: |
2024
|
| Subjects: | |
| Online Access: | https://arxiv.org/abs/2411.03598 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Hybrid Generative Modeling for Incomplete Physics: Deep Grey-Box Meets Optimal Transport
by: Singh, Gurjeet Sangra, et al.
Published: (2025)
by: Singh, Gurjeet Sangra, et al.
Published: (2025)
Kolmogorov-Smirnov GAN
by: Falkiewicz, Maciej, et al.
Published: (2024)
by: Falkiewicz, Maciej, et al.
Published: (2024)
MING: A Functional Approach to Learning Molecular Generative Models
by: Nguyen, Van Khoa, et al.
Published: (2024)
by: Nguyen, Van Khoa, et al.
Published: (2024)
Learning Speed Adaptation for Flight in Clutter
by: Zhao, Guangyu, et al.
Published: (2024)
by: Zhao, Guangyu, et al.
Published: (2024)
A PPA-Driven 3D-IC Partitioning Selection Framework with Surrogate Models
by: Wang, Shang, et al.
Published: (2026)
by: Wang, Shang, et al.
Published: (2026)
MASALA: Model-Agnostic Surrogate Explanations by Locality Adaptation
by: Anwar, Saif, et al.
Published: (2024)
by: Anwar, Saif, et al.
Published: (2024)
Causal Multi-fidelity Surrogate Forward and Inverse Models for ICF Implosions
by: Maltba, Tyler E., et al.
Published: (2025)
by: Maltba, Tyler E., et al.
Published: (2025)
Deep Learning Surrogates for Real-Time Gas Emission Inversion
by: Newman, Thomas, et al.
Published: (2025)
by: Newman, Thomas, et al.
Published: (2025)
Going with the Speed of Sound: Pushing Neural Surrogates into Highly-turbulent Transonic Regimes
by: Paischer, Fabian, et al.
Published: (2025)
by: Paischer, Fabian, et al.
Published: (2025)
An Interpretable Data-Driven Model of the Flight Dynamics of Hawks
by: France, Lydia, et al.
Published: (2026)
by: France, Lydia, et al.
Published: (2026)
PCENet: High Dimensional Surrogate Modeling for Learning Uncertainty
by: Shustin, Paz Fink, et al.
Published: (2022)
by: Shustin, Paz Fink, et al.
Published: (2022)
Bayesian Surrogate Training on Multiple Data Sources: A Hybrid Modeling Strategy
by: Reiser, Philipp, et al.
Published: (2024)
by: Reiser, Philipp, et al.
Published: (2024)
Generative Augmentation of Imbalanced Flight Records for Flight Diversion Prediction: A Multi-objective Optimisation Framework
by: Aly, Karim, et al.
Published: (2026)
by: Aly, Karim, et al.
Published: (2026)
Forecasting Residential Heating and Electricity Demand with Scalable, High-Resolution, Open-Source Models
by: Lee, Stephen J., et al.
Published: (2025)
by: Lee, Stephen J., et al.
Published: (2025)
acoupi: An Open-Source Python Framework for Deploying Bioacoustic AI Models on Edge Devices
by: Vuilliomenet, Aude, et al.
Published: (2025)
by: Vuilliomenet, Aude, et al.
Published: (2025)
OpenDPD: An Open-Source End-to-End Learning & Benchmarking Framework for Wideband Power Amplifier Modeling and Digital Pre-Distortion
by: Wu, Yizhuo, et al.
Published: (2024)
by: Wu, Yizhuo, et al.
Published: (2024)
OpenVLA: An Open-Source Vision-Language-Action Model
by: Kim, Moo Jin, et al.
Published: (2024)
by: Kim, Moo Jin, et al.
Published: (2024)
Hippocrates: An Open-Source Framework for Advancing Large Language Models in Healthcare
by: Acikgoz, Emre Can, et al.
Published: (2024)
by: Acikgoz, Emre Can, et al.
Published: (2024)
A Two-Phase Deep Learning Framework for Adaptive Time-Stepping in High-Speed Flow Modeling
by: Helwig, Jacob, et al.
Published: (2025)
by: Helwig, Jacob, et al.
Published: (2025)
A Modular Open Source Framework for Genomic Variant Calling
by: Bisoi, Ankita Vaishnobi, et al.
Published: (2024)
by: Bisoi, Ankita Vaishnobi, et al.
Published: (2024)
Balancing Accuracy and Speed: A Multi-Fidelity Ensemble Kalman Filter with a Machine Learning Surrogate Model
by: van der Voort, Jeffrey, et al.
Published: (2025)
by: van der Voort, Jeffrey, et al.
Published: (2025)
OpenPRC: A Unified Open-Source Framework for Physics-to-Task Evaluation in Physical Reservoir Computing
by: Phalak, Yogesh, et al.
Published: (2026)
by: Phalak, Yogesh, et al.
Published: (2026)
Surrogate Modeling for the Design of Optimal Lattice Structures using Tensor Completion
by: Pakala, Shaan, et al.
Published: (2025)
by: Pakala, Shaan, et al.
Published: (2025)
Risks and Opportunities of Open-Source Generative AI
by: Eiras, Francisco, et al.
Published: (2024)
by: Eiras, Francisco, et al.
Published: (2024)
An Open-Source, Open Data Approach to Activity Classification from Triaxial Accelerometry in an Ambulatory Setting
by: Nikookar, Sepideh, et al.
Published: (2026)
by: Nikookar, Sepideh, et al.
Published: (2026)
Multi-Hierarchical Surrogate Learning for Structural Dynamical Crash Simulations Using Graph Convolutional Neural Networks
by: Kneifl, Jonas, et al.
Published: (2024)
by: Kneifl, Jonas, et al.
Published: (2024)
UniFed: All-In-One Federated Learning Platform to Unify Open-Source Frameworks
by: Liu, Xiaoyuan, et al.
Published: (2022)
by: Liu, Xiaoyuan, et al.
Published: (2022)
BITS for GAPS: Bayesian Information-Theoretic Sampling for hierarchical GAussian Process Surrogates
by: Jones, Kyla D., et al.
Published: (2025)
by: Jones, Kyla D., et al.
Published: (2025)
ConfEviSurrogate: A Conformalized Evidential Surrogate Model for Uncertainty Quantification
by: Duan, Yuhan, et al.
Published: (2025)
by: Duan, Yuhan, et al.
Published: (2025)
Inferring Traffic Models in Terminal Airspace from Flight Tracks and Procedures
by: Jung, Soyeon, et al.
Published: (2023)
by: Jung, Soyeon, et al.
Published: (2023)
Predicting Change, Not States: An Alternate Framework for Neural PDE Surrogates
by: Zhou, Anthony, et al.
Published: (2024)
by: Zhou, Anthony, et al.
Published: (2024)
Multifidelity Surrogate Modeling of Depressurized Loss of Forced Cooling in High-temperature Gas Reactors
by: Eaheart, Meredith, et al.
Published: (2026)
by: Eaheart, Meredith, et al.
Published: (2026)
Graph Network Surrogate Model for Subsurface Flow Optimization
by: Tang, Haoyu, et al.
Published: (2023)
by: Tang, Haoyu, et al.
Published: (2023)
ESM: A Framework for Building Effective Surrogate Models for Hardware-Aware Neural Architecture Search
by: Nasir, Azaz-Ur-Rehman, et al.
Published: (2025)
by: Nasir, Azaz-Ur-Rehman, et al.
Published: (2025)
Optimising Distributions with Natural Gradient Surrogates
by: So, Jonathan, et al.
Published: (2023)
by: So, Jonathan, et al.
Published: (2023)
Accelerating Reinforcement Learning Training Using Simulation Surrogate Models
by: Ghasemloo, Mohammadmahdi, et al.
Published: (2026)
by: Ghasemloo, Mohammadmahdi, et al.
Published: (2026)
AutoSurrogate: An LLM-Driven Multi-Agent Framework for Autonomous Construction of Deep Learning Surrogate Models in Subsurface Flow
by: Liu, Jiale, et al.
Published: (2026)
by: Liu, Jiale, et al.
Published: (2026)
Improving Predictions on Highly Unbalanced Data Using Open Source Synthetic Data Upsampling
by: Krchova, Ivona, et al.
Published: (2025)
by: Krchova, Ivona, et al.
Published: (2025)
The ATOM Report: Measuring the Open Language Model Ecosystem
by: Lambert, Nathan, et al.
Published: (2026)
by: Lambert, Nathan, et al.
Published: (2026)
Predictions as Surrogates: Revisiting Surrogate Outcomes in the Age of AI
by: Ji, Wenlong, et al.
Published: (2025)
by: Ji, Wenlong, et al.
Published: (2025)
Similar Items
-
Hybrid Generative Modeling for Incomplete Physics: Deep Grey-Box Meets Optimal Transport
by: Singh, Gurjeet Sangra, et al.
Published: (2025) -
Kolmogorov-Smirnov GAN
by: Falkiewicz, Maciej, et al.
Published: (2024) -
MING: A Functional Approach to Learning Molecular Generative Models
by: Nguyen, Van Khoa, et al.
Published: (2024) -
Learning Speed Adaptation for Flight in Clutter
by: Zhao, Guangyu, et al.
Published: (2024) -
A PPA-Driven 3D-IC Partitioning Selection Framework with Surrogate Models
by: Wang, Shang, et al.
Published: (2026)