Saved in:
| Main Authors: | Chiu, Shao-Ting, Kevrekidis, Ioannis G., Braga-Neto, Ulisses |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | https://arxiv.org/abs/2512.17198 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
DeepOSets: Non-Autoregressive In-Context Learning with Permutation-Invariance Inductive Bias
by: Chiu, Shao-Ting, et al.
Published: (2024)
by: Chiu, Shao-Ting, et al.
Published: (2024)
In-Context Multi-Operator Learning with DeepOSets
by: Chiu, Shao-Ting, et al.
Published: (2025)
by: Chiu, Shao-Ting, et al.
Published: (2025)
Free-RBF-KAN: Kolmogorov-Arnold Networks with Adaptive Radial Basis Functions for Efficient Function Learning
by: Chiu, Shao-Ting, et al.
Published: (2026)
by: Chiu, Shao-Ting, et al.
Published: (2026)
Automatizing the search for mass resonances using BumpNet
by: Arguin, Jean-François, et al.
Published: (2025)
by: Arguin, Jean-François, et al.
Published: (2025)
Automatizing the search for mass resonances using BumpNet
by: Arguin, Jean-Francois, et al.
Published: (2025)
by: Arguin, Jean-Francois, et al.
Published: (2025)
Generalized Resubstitution for Regression Error Estimation
by: Marcondes, Diego, et al.
Published: (2024)
by: Marcondes, Diego, et al.
Published: (2024)
Self-Adaptive Physics-Informed Neural Networks using a Soft Attention Mechanism
by: McClenny, Levi, et al.
Published: (2020)
by: McClenny, Levi, et al.
Published: (2020)
Label Propagation Training Schemes for Physics-Informed Neural Networks and Gaussian Processes
by: Zhong, Ming, et al.
Published: (2024)
by: Zhong, Ming, et al.
Published: (2024)
Understanding MLP-Mixer as a Wide and Sparse MLP
by: Hayase, Tomohiro, et al.
Published: (2023)
by: Hayase, Tomohiro, et al.
Published: (2023)
A State-Space Approach to Nonstationary Discriminant Analysis
by: Xie, Shuilian, et al.
Published: (2025)
by: Xie, Shuilian, et al.
Published: (2025)
Generative Learning of Densities on Manifolds
by: Giovanis, Dimitris G., et al.
Published: (2025)
by: Giovanis, Dimitris G., et al.
Published: (2025)
Conformal Disentanglement: A Neural Framework for Perspective Synthesis and Differentiation
by: Kevrekidis, George A., et al.
Published: (2024)
by: Kevrekidis, George A., et al.
Published: (2024)
Machine Learning for the identification of phase-transitions in interacting agent-based systems: a Desai-Zwanzig example
by: Evangelou, Nikolaos, et al.
Published: (2023)
by: Evangelou, Nikolaos, et al.
Published: (2023)
Enabling Probabilistic Learning on Manifolds through Double Diffusion Maps
by: Giovanis, Dimitris G, et al.
Published: (2025)
by: Giovanis, Dimitris G, et al.
Published: (2025)
Convolution Operator Network for Forward and Inverse Problems (FI-Conv): Application to Plasma Turbulence Simulations
by: Chen, Xingzhuo, et al.
Published: (2026)
by: Chen, Xingzhuo, et al.
Published: (2026)
On Some Tunable Multi-fidelity Bayesian Optimization Frameworks
by: Manoj, Arjun, et al.
Published: (2025)
by: Manoj, Arjun, et al.
Published: (2025)
Neural Chaos: A Spectral Stochastic Neural Operator
by: Bahmani, Bahador, et al.
Published: (2025)
by: Bahmani, Bahador, et al.
Published: (2025)
SVD-NO: Learning PDE Solution Operators with SVD Integral Kernels
by: Koren, Noam, et al.
Published: (2025)
by: Koren, Noam, et al.
Published: (2025)
Comparing analytic and data-driven approaches to parameter identifiability: A power systems case study
by: Evangelou, Nikolaos, et al.
Published: (2024)
by: Evangelou, Nikolaos, et al.
Published: (2024)
Adversarial Learning for Neural PDE Solvers with Sparse Data
by: Gong, Yunpeng, et al.
Published: (2024)
by: Gong, Yunpeng, et al.
Published: (2024)
A Randomized PDE Energy driven Iterative Framework for Efficient and Stable PDE Solutions
by: Bing, Yi, et al.
Published: (2026)
by: Bing, Yi, et al.
Published: (2026)
Rethinking the shape convention of an MLP
by: Chen, Meng-Hsi, et al.
Published: (2025)
by: Chen, Meng-Hsi, et al.
Published: (2025)
A Physics-informed Multi-resolution Neural Operator
by: Roy, Sumanta, et al.
Published: (2025)
by: Roy, Sumanta, et al.
Published: (2025)
Polynomial Chaos Expansions on Principal Geodesic Grassmannian Submanifolds for Surrogate Modeling and Uncertainty Quantification
by: Giovanis, Dimitris G., et al.
Published: (2024)
by: Giovanis, Dimitris G., et al.
Published: (2024)
Active search for Bifurcations
by: Psarellis, Yorgos M., et al.
Published: (2024)
by: Psarellis, Yorgos M., et al.
Published: (2024)
End to End Autoencoder MLP Framework for Sepsis Prediction
by: Cai, Hejiang, et al.
Published: (2025)
by: Cai, Hejiang, et al.
Published: (2025)
A Resolution Independent Neural Operator
by: Bahmani, Bahador, et al.
Published: (2024)
by: Bahmani, Bahador, et al.
Published: (2024)
A Mechanistic Analysis of Transformers for Dynamical Systems
by: Duthé, Gregory, et al.
Published: (2025)
by: Duthé, Gregory, et al.
Published: (2025)
Spatial Transfer Learning with Simple MLP
by: Yang, Hongjian
Published: (2024)
by: Yang, Hongjian
Published: (2024)
Data-driven Control of Agent-based Models: an Equation/Variable-free Machine Learning Approach
by: Patsatzis, Dimitrios G., et al.
Published: (2022)
by: Patsatzis, Dimitrios G., et al.
Published: (2022)
Bridging Spectral Operator Learning and U-Net Hierarchies: SpectraNet for Stable Autoregressive PDE Surrogates
by: Noguera, Enrique Hernández, et al.
Published: (2026)
by: Noguera, Enrique Hernández, et al.
Published: (2026)
Nonlinear Manifold Learning Determines Microgel Size from Raman Spectroscopy
by: Koronaki, Eleni D., et al.
Published: (2024)
by: Koronaki, Eleni D., et al.
Published: (2024)
Dictionary learning for Kernel EDMD
by: Bolager, Erik Lien, et al.
Published: (2026)
by: Bolager, Erik Lien, et al.
Published: (2026)
The AI Scientific Community: Agentic Virtual Lab Swarms
by: Braga-Neto, Ulisses
Published: (2026)
by: Braga-Neto, Ulisses
Published: (2026)
From MLP to NeoMLP: Leveraging Self-Attention for Neural Fields
by: Kofinas, Miltiadis, et al.
Published: (2024)
by: Kofinas, Miltiadis, et al.
Published: (2024)
PointNet with KAN versus PointNet with MLP for 3D Classification and Segmentation of Point Sets
by: Kashefi, Ali
Published: (2024)
by: Kashefi, Ali
Published: (2024)
KAN v.s. MLP for Offline Reinforcement Learning
by: Guo, Haihong, et al.
Published: (2024)
by: Guo, Haihong, et al.
Published: (2024)
Parametric PDE Control with Deep Reinforcement Learning and Differentiable L0-Sparse Polynomial Policies
by: Botteghi, Nicolò, et al.
Published: (2024)
by: Botteghi, Nicolò, et al.
Published: (2024)
M3-Net: A Cost-Effective Graph-Free MLP-Based Model for Traffic Prediction
by: Jin, Guangyin, et al.
Published: (2025)
by: Jin, Guangyin, et al.
Published: (2025)
Using Linearized Optimal Transport to Predict the Evolution of Stochastic Particle Systems
by: Karris, Nicholas, et al.
Published: (2024)
by: Karris, Nicholas, et al.
Published: (2024)
Similar Items
-
DeepOSets: Non-Autoregressive In-Context Learning with Permutation-Invariance Inductive Bias
by: Chiu, Shao-Ting, et al.
Published: (2024) -
In-Context Multi-Operator Learning with DeepOSets
by: Chiu, Shao-Ting, et al.
Published: (2025) -
Free-RBF-KAN: Kolmogorov-Arnold Networks with Adaptive Radial Basis Functions for Efficient Function Learning
by: Chiu, Shao-Ting, et al.
Published: (2026) -
Automatizing the search for mass resonances using BumpNet
by: Arguin, Jean-François, et al.
Published: (2025) -
Automatizing the search for mass resonances using BumpNet
by: Arguin, Jean-Francois, et al.
Published: (2025)