Interpretable epistemic uncertainty decomposition in sequential generative models via polynomial chaos surrogates
Fuente:
arXiv
Saved in:
| Main Authors: | Nartallo-Kaluarachchi, Ramón, Ubaru, Shashanka, Zimoń, Małgorzata J, Huh, Dongsung, Manson-Sawko, Robert, Horesh, Lior, Bengio, Yoshua |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
PCENet: High Dimensional Surrogate Modeling for Learning Uncertainty
by: Shustin, Paz Fink, et al.
Published: (2022)
by: Shustin, Paz Fink, et al.
Published: (2022)
Group-Algebraic Tensors: Provably-optimal Equivariant Learning and Physical Symmetry Discovery
by: Hoyos, Paulina, et al.
Published: (2026)
by: Hoyos, Paulina, et al.
Published: (2026)
A Differentiable Measure of Algebraic Complexity: Provably Exact Discovery of Group Structures
by: Huh, Dongsung, et al.
Published: (2025)
by: Huh, Dongsung, et al.
Published: (2025)
Multivariate trace estimation using quantum state space linear algebra
by: Yosef, Liron Mor, et al.
Published: (2024)
by: Yosef, Liron Mor, et al.
Published: (2024)
Drift-Diffusion Matching: Embedding dynamics in latent manifolds of asymmetric neural networks
by: Nartallo-Kaluarachchi, Ramón, et al.
Published: (2026)
by: Nartallo-Kaluarachchi, Ramón, et al.
Published: (2026)
Coarse-graining nonequilibrium diffusions with Markov chains
by: Nartallo-Kaluarachchi, Ramón, et al.
Published: (2025)
by: Nartallo-Kaluarachchi, Ramón, et al.
Published: (2025)
From reductionism to realism: Holistic mathematical modelling for complex biological systems
by: Nartallo-Kaluarachchi, Ramón, et al.
Published: (2025)
by: Nartallo-Kaluarachchi, Ramón, et al.
Published: (2025)
Randomized matrix-free quadrature: unified and uniform bounds for stochastic Lanczos quadrature and the kernel polynomial method
by: Chen, Tyler, et al.
Published: (2022)
by: Chen, Tyler, et al.
Published: (2022)
Comparing quantum and classical Monte Carlo algorithms for estimating Betti numbers of clique complexes
by: Akhalwaya, Ismail Yunus, et al.
Published: (2024)
by: Akhalwaya, Ismail Yunus, et al.
Published: (2024)
Discovering Abstract Symbolic Relations by Learning Unitary Group Representations
by: Huh, Dongsung
Published: (2024)
by: Huh, Dongsung
Published: (2024)
On Efficient Solutions of General Structured Markov Processes in Quantum Computational Environments
by: Kalantzis, Vasileios, et al.
Published: (2024)
by: Kalantzis, Vasileios, et al.
Published: (2024)
Quantum simulation of a noisy classical nonlinear dynamics
by: Bravyi, Sergey, et al.
Published: (2025)
by: Bravyi, Sergey, et al.
Published: (2025)
Nonequilibrium physics of brain dynamics
by: Nartallo-Kaluarachchi, Ramón, et al.
Published: (2025)
by: Nartallo-Kaluarachchi, Ramón, et al.
Published: (2025)
Topological data analysis on noisy quantum computers
by: Akhalwaya, Ismail Yunus, et al.
Published: (2022)
by: Akhalwaya, Ismail Yunus, et al.
Published: (2022)
Predicting Thermodynamics of Liquid Water from Time Series Analysis
by: Zimoń, Małgorzata J., et al.
Published: (2025)
by: Zimoń, Małgorzata J., et al.
Published: (2025)
Multivariate sensitivity-adaptive polynomial chaos expansion for high-dimensional surrogate modeling and uncertainty quantification
by: Loukrezis, Dimitrios, et al.
Published: (2023)
by: Loukrezis, Dimitrios, et al.
Published: (2023)
Fast Linear Solvers via AI-Tuned Markov Chain Monte Carlo-based Matrix Inversion
by: Lebedev, Anton, et al.
Published: (2025)
by: Lebedev, Anton, et al.
Published: (2025)
Broken detailed balance and entropy production in directed networks
by: Nartallo-Kaluarachchi, Ramón, et al.
Published: (2024)
by: Nartallo-Kaluarachchi, Ramón, et al.
Published: (2024)
Machine learning and information theory concepts towards an AI Mathematician
by: Bengio, Yoshua, et al.
Published: (2024)
by: Bengio, Yoshua, et al.
Published: (2024)
Combinatorial Multi-armed Bandits: Arm Selection via Group Testing
by: Mukherjee, Arpan, et al.
Published: (2024)
by: Mukherjee, Arpan, et al.
Published: (2024)
Decomposing force fields as flows on graphs reconstructed from stochastic trajectories
by: Nartallo-Kaluarachchi, Ramón, et al.
Published: (2024)
by: Nartallo-Kaluarachchi, Ramón, et al.
Published: (2024)
Baking Symmetry into GFlowNets
by: Ma, George, et al.
Published: (2024)
by: Ma, George, et al.
Published: (2024)
Transformers Learn Faster with Semantic Focus
by: Ram, Parikshit, et al.
Published: (2025)
by: Ram, Parikshit, et al.
Published: (2025)
A two-step surrogate method for sequential uncertainty quantification in high-dimensional inverse problems
by: Yang, Ningxin, et al.
Published: (2024)
by: Yang, Ningxin, et al.
Published: (2024)
Coping with generative AI's (GenAI) perpetuation of epistemic uncertainties
by: Olivia Ng, et al.
Published: (2025)
by: Olivia Ng, et al.
Published: (2025)
Noticing the Watcher: LLM Agents Can Infer CoT Monitoring from Blocking Feedback
by: Jiralerspong, Thomas, et al.
Published: (2026)
by: Jiralerspong, Thomas, et al.
Published: (2026)
Hermite trace polynomials and chaos decompositions for the Hermitian Brownian motion
by: Anshelevich, Michael, et al.
Published: (2022)
by: Anshelevich, Michael, et al.
Published: (2022)
Reducing data resolution for better super-resolution: Reconstructing turbulent flows from noisy observation
by: Yeo, Kyongmin, et al.
Published: (2024)
by: Yeo, Kyongmin, et al.
Published: (2024)
Torsional-GFN: a conditional conformation generator for small molecules
by: Volokhova, Alexandra, et al.
Published: (2025)
by: Volokhova, Alexandra, et al.
Published: (2025)
Reseña de "La revolución digital y la Sociedad de la Información" de Guiomar Salvat y Vicente Serrano Marín
by: Vanessa Pombo Nartallo
Published: (2011)
by: Vanessa Pombo Nartallo
Published: (2011)
Accelerating sequential Monte Carlo with surrogate likelihoods
by: Bon, Joshua J, et al.
Published: (2020)
by: Bon, Joshua J, et al.
Published: (2020)
Multi-Function Multi-Way Analog Technology for Sustainable Machine Intelligence Computation
by: Kalantzis, Vassilis, et al.
Published: (2024)
by: Kalantzis, Vassilis, et al.
Published: (2024)
Do you understand epistemic uncertainty? Think again! Rigorous frequentist epistemic uncertainty estimation in regression
by: Foglia, Enrico, et al.
Published: (2025)
by: Foglia, Enrico, et al.
Published: (2025)
Volume polynomials
by: Huh, June
Published: (2026)
by: Huh, June
Published: (2026)
Physics-constrained polynomial chaos expansion for scientific machine learning and uncertainty quantification
by: Sharma, Himanshu, et al.
Published: (2024)
by: Sharma, Himanshu, et al.
Published: (2024)
A polynomial chaos approach for uncertainty quantification of Monte Carlo transport codes
by: Geraci, Gianluca, et al.
Published: (2024)
by: Geraci, Gianluca, et al.
Published: (2024)
On Generalization for Generative Flow Networks
by: Krichel, Anas, et al.
Published: (2024)
by: Krichel, Anas, et al.
Published: (2024)
Interventional Causal Representation Learning
by: Ahuja, Kartik, et al.
Published: (2022)
by: Ahuja, Kartik, et al.
Published: (2022)
A Complexity-Based Theory of Compositionality
by: Elmoznino, Eric, et al.
Published: (2024)
by: Elmoznino, Eric, et al.
Published: (2024)
Visual symbolic mechanisms: Emergent symbol processing in vision language models
by: Assouel, Rim, et al.
Published: (2025)
by: Assouel, Rim, et al.
Published: (2025)
Similar Items
-
PCENet: High Dimensional Surrogate Modeling for Learning Uncertainty
by: Shustin, Paz Fink, et al.
Published: (2022) -
Group-Algebraic Tensors: Provably-optimal Equivariant Learning and Physical Symmetry Discovery
by: Hoyos, Paulina, et al.
Published: (2026) -
A Differentiable Measure of Algebraic Complexity: Provably Exact Discovery of Group Structures
by: Huh, Dongsung, et al.
Published: (2025) -
Multivariate trace estimation using quantum state space linear algebra
by: Yosef, Liron Mor, et al.
Published: (2024) -
Drift-Diffusion Matching: Embedding dynamics in latent manifolds of asymmetric neural networks
by: Nartallo-Kaluarachchi, Ramón, et al.
Published: (2026)