Guardado en:
| Autores principales: | Chukwuemeka, Christopher, You, Hojun, Jun, Mikyoung |
|---|---|
| Formato: | Preprint |
| Publicado: |
2026
|
| Materias: | |
| Acceso en línea: | https://arxiv.org/abs/2602.23629 |
| Etiquetas: |
Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
|
Ejemplares similares
Shared Stochastic Gaussian Process Latent Variable Models: A Multi-modal Generative Model for Quasar Spectra
por: Lalchand, Vidhi, et al.
Publicado: (2025)
por: Lalchand, Vidhi, et al.
Publicado: (2025)
A hybrid-Hill estimator enabled by heavy-tailed block maxima
por: Neves, Claudia, et al.
Publicado: (2025)
por: Neves, Claudia, et al.
Publicado: (2025)
Quick and Simple Kernel Differential Equation Regression Estimators for Data with Sparse Design
por: Ge, Chunlei, et al.
Publicado: (2024)
por: Ge, Chunlei, et al.
Publicado: (2024)
Model-Free Local Recalibration of Neural Networks
por: Torres, R., et al.
Publicado: (2024)
por: Torres, R., et al.
Publicado: (2024)
Flexible and efficient emulation of spatial extremes processes via variational autoencoders
por: Zhang, Likun, et al.
Publicado: (2023)
por: Zhang, Likun, et al.
Publicado: (2023)
Parameter estimation for the generalized extreme value distribution: a method that combines bootstrapping and r largest order statistics
por: Soto, Juan L. P.
Publicado: (2024)
por: Soto, Juan L. P.
Publicado: (2024)
Goodness-of-fit tests for spatial point processes: A review
por: Fend, Chiara, et al.
Publicado: (2025)
por: Fend, Chiara, et al.
Publicado: (2025)
Goodness-of-fit tests for spatial point processes: A power study
por: Fend, Chiara, et al.
Publicado: (2025)
por: Fend, Chiara, et al.
Publicado: (2025)
Optimal Non-Asymptotic Edgeworth Expansions for Multivariate Neural Network Outputs
por: Celli, Lucia
Publicado: (2026)
por: Celli, Lucia
Publicado: (2026)
Out-of-Distribution Detection via Channelwise Feature Aggregation in Neural Network-Based Receivers
por: Tuononen, Marko, et al.
Publicado: (2025)
por: Tuononen, Marko, et al.
Publicado: (2025)
Moment-based Density Elicitation with Applications in Probabilistic Loops
por: Kofnov, Andrey, et al.
Publicado: (2023)
por: Kofnov, Andrey, et al.
Publicado: (2023)
Autoencoders in Function Space
por: Bunker, Justin, et al.
Publicado: (2024)
por: Bunker, Justin, et al.
Publicado: (2024)
From 'What-is' to 'What-if' in Human-Factor Analysis: A Post-Occupancy Evaluation Case
por: Chen, Xia, et al.
Publicado: (2025)
por: Chen, Xia, et al.
Publicado: (2025)
Two approaches to multiple canonical correlation analysis for repeated measures data
por: Górecki, Tomasz, et al.
Publicado: (2025)
por: Górecki, Tomasz, et al.
Publicado: (2025)
Trajectory-based real-time pedestrian crash prediction at intersections: A novel non-linear link function for block maxima led Bayesian GEV framework addressing heterogeneous traffic condition
por: Anowar, Parvez, et al.
Publicado: (2025)
por: Anowar, Parvez, et al.
Publicado: (2025)
The Choice of Normalization Influences Shrinkage in Regularized Regression
por: Larsson, Johan, et al.
Publicado: (2025)
por: Larsson, Johan, et al.
Publicado: (2025)
Feature Learning in Wide Neural Networks under $μ$P: Identifiability and Sparse-Dictionary Decomposition of the Mean-Field Limit
por: Xodarev, Akmal
Publicado: (2026)
por: Xodarev, Akmal
Publicado: (2026)
Trend Filtered Mixture of Experts for Automated Gating of High-Frequency Flow Cytometry Data
por: Hyun, Sangwon, et al.
Publicado: (2025)
por: Hyun, Sangwon, et al.
Publicado: (2025)
GT-PCA: Effective and Interpretable Dimensionality Reduction with General Transform-Invariant Principal Component Analysis
por: Heinrichs, Florian
Publicado: (2024)
por: Heinrichs, Florian
Publicado: (2024)
Bayesian Modeling of Collatz Stopping Times: A Probabilistic Machine Learning Perspective
por: Bonacorsi, Nicolò, et al.
Publicado: (2026)
por: Bonacorsi, Nicolò, et al.
Publicado: (2026)
Data-Driven Discovery of Feature Groups in Clinical Time Series
por: Sergeev, Fedor, et al.
Publicado: (2025)
por: Sergeev, Fedor, et al.
Publicado: (2025)
Asymptotic Consistency and Generalization in Hybrid Models of Regularized Selection and Nonlinear Learning
por: Galvão, Luciano Ribeiro, et al.
Publicado: (2025)
por: Galvão, Luciano Ribeiro, et al.
Publicado: (2025)
Multivariate Time Series Anomaly Detection via Dual-Branch Reconstruction and Autoregressive Flow-based Residual Density Estimation
por: Liu, Jun, et al.
Publicado: (2026)
por: Liu, Jun, et al.
Publicado: (2026)
Evaluating the Quality of the Quantified Uncertainty for (Re)Calibration of Data-Driven Regression Models
por: Wibbeke, Jelke, et al.
Publicado: (2025)
por: Wibbeke, Jelke, et al.
Publicado: (2025)
Structural Incompatibility of Differentiable Sorting and Within-Vector Rank Normalization
por: Kim, Taeyun
Publicado: (2025)
por: Kim, Taeyun
Publicado: (2025)
Likelihood inference for exponential-trawl processes
por: Shephard, Neil, et al.
Publicado: (2015)
por: Shephard, Neil, et al.
Publicado: (2015)
Asymptotic e-processes
por: Massiani, Pierre-François, et al.
Publicado: (2026)
por: Massiani, Pierre-François, et al.
Publicado: (2026)
Explaining the unexplainable: leveraging extremal dependence to characterize the 2021 Pacific Northwest heatwave
por: Zhang, Likun, et al.
Publicado: (2023)
por: Zhang, Likun, et al.
Publicado: (2023)
Intra-tree Column Subsampling Hinders XGBoost Learning of Ratio-like Interactions
por: Pinchuk, Mykola
Publicado: (2026)
por: Pinchuk, Mykola
Publicado: (2026)
Synthetic data for ratemaking: imputation-based methods vs adversarial networks and autoencoders
por: Havrylenko, Yevhen, et al.
Publicado: (2025)
por: Havrylenko, Yevhen, et al.
Publicado: (2025)
Gradient Descent as Implicit EM in Distance-Based Neural Models
por: Oursland, Alan
Publicado: (2025)
por: Oursland, Alan
Publicado: (2025)
WTNN: Weibull-Tailored Neural Networks for survival analysis
por: Rives, Gabrielle, et al.
Publicado: (2025)
por: Rives, Gabrielle, et al.
Publicado: (2025)
XGBoostPP: Tree-based Estimation of Point Process Intensity Functions
por: Lu, C., et al.
Publicado: (2024)
por: Lu, C., et al.
Publicado: (2024)
Bagging cross-validated bandwidths with application to Big Data
por: Barreiro-Ures, Daniel, et al.
Publicado: (2024)
por: Barreiro-Ures, Daniel, et al.
Publicado: (2024)
A Two-Stage Bayesian Framework for Multi-Fidelity Online Updating of Spatial Fragility Fields
por: Braik, Abdullah M., et al.
Publicado: (2026)
por: Braik, Abdullah M., et al.
Publicado: (2026)
A Statistical Framework for Learning Preferences from the Past
por: Sadhukhan, Tamojit, et al.
Publicado: (2026)
por: Sadhukhan, Tamojit, et al.
Publicado: (2026)
MEG-to-MEG Transfer Learning and Cross-Task Speech/Silence Detection with Limited Data
por: de Zuazo, Xabier, et al.
Publicado: (2026)
por: de Zuazo, Xabier, et al.
Publicado: (2026)
Predictive Inference via Kernel Density Estimates
por: Hilbert, Torey
Publicado: (2026)
por: Hilbert, Torey
Publicado: (2026)
Poisson hulls
por: Last, Günter, et al.
Publicado: (2022)
por: Last, Günter, et al.
Publicado: (2022)
On lead-lag estimation of non-synchronously observed point processes
por: Shiotani, Takaaki, et al.
Publicado: (2026)
por: Shiotani, Takaaki, et al.
Publicado: (2026)
Ejemplares similares
-
Shared Stochastic Gaussian Process Latent Variable Models: A Multi-modal Generative Model for Quasar Spectra
por: Lalchand, Vidhi, et al.
Publicado: (2025) -
A hybrid-Hill estimator enabled by heavy-tailed block maxima
por: Neves, Claudia, et al.
Publicado: (2025) -
Quick and Simple Kernel Differential Equation Regression Estimators for Data with Sparse Design
por: Ge, Chunlei, et al.
Publicado: (2024) -
Model-Free Local Recalibration of Neural Networks
por: Torres, R., et al.
Publicado: (2024) -
Flexible and efficient emulation of spatial extremes processes via variational autoencoders
por: Zhang, Likun, et al.
Publicado: (2023)