Deep Learning-Based Survival Analysis with Copula-Based Activation Functions for Multivariate Response Prediction
Fuente:
arXiv
Enregistré dans:
| Auteurs principaux: | Kim, Jong-Min, Ha, Il Do, Kim, Sangjin |
|---|---|
| Format: | Preprint |
| Publié: |
2025
|
| Sujets: | |
| Accès en ligne: | |
| Tags: |
Ajouter un tag
Pas de tags, Soyez le premier à ajouter un tag!
|
Documents similaires
Deep Copula-Based Survival Analysis for Dependent Censoring with Identifiability Guarantees
par: Zhang, Weijia, et autres
Publié: (2023)
par: Zhang, Weijia, et autres
Publié: (2023)
HACSurv: A Hierarchical Copula-Based Approach for Survival Analysis with Dependent Competing Risks
par: Liu, Xin, et autres
Publié: (2024)
par: Liu, Xin, et autres
Publié: (2024)
GroupSegment-SHAP: Shapley Value Explanations with Group-Segment Players for Multivariate Time Series
par: Kim, Jinwoong, et autres
Publié: (2026)
par: Kim, Jinwoong, et autres
Publié: (2026)
Self-Improving Interference Management Based on Deep Learning With Uncertainty Quantification
par: Lee, Hyun-Suk, et autres
Publié: (2024)
par: Lee, Hyun-Suk, et autres
Publié: (2024)
ReTAMamba: Reliability-Aware Temporal Aggregation with Mamba for Irregular Clinical Time Series Prediction
par: Kim, Jinwoong, et autres
Publié: (2026)
par: Kim, Jinwoong, et autres
Publié: (2026)
Autoencoder-Based Hybrid Replay for Class-Incremental Learning
par: Nori, Milad Khademi, et autres
Publié: (2025)
par: Nori, Milad Khademi, et autres
Publié: (2025)
Counterfactual Survival Q-learning via Buckley-James Boosting, with Applications to ACTG 175 and CALGB 8923
par: Lee, Jeongjin, et autres
Publié: (2025)
par: Lee, Jeongjin, et autres
Publié: (2025)
Copula-Based Density Estimation Models for Multivariate Zero-Inflated Continuous Data
par: Hamamoto, Keita
Publié: (2023)
par: Hamamoto, Keita
Publié: (2023)
Probabilistic Multivariate Time Series Forecasting with Diffusion Copulas
par: Huk, David, et autres
Publié: (2026)
par: Huk, David, et autres
Publié: (2026)
Valid and Expressive Copulas for Irregular Multivariate Time Series
par: Klötergens, Christian, et autres
Publié: (2026)
par: Klötergens, Christian, et autres
Publié: (2026)
Decision-Focused Learning via Tangent-Space Projection of Prediction Error
par: Lee, Junhyeong, et autres
Publié: (2026)
par: Lee, Junhyeong, et autres
Publié: (2026)
Task Confusion and Catastrophic Forgetting in Class-Incremental Learning: A Mathematical Framework for Discriminative and Generative Modelings
par: Nori, Milad Khademi, et autres
Publié: (2024)
par: Nori, Milad Khademi, et autres
Publié: (2024)
Entropy-Aware Model Initialization for Effective Exploration in Deep Reinforcement Learning
par: Jang, Sooyoung, et autres
Publié: (2021)
par: Jang, Sooyoung, et autres
Publié: (2021)
A Scalable Nonparametric Continuous-Time Survival Model through Numerical Quadrature
par: Lee, Chaeyeon, et autres
Publié: (2026)
par: Lee, Chaeyeon, et autres
Publié: (2026)
A Copula Based Supervised Filter for Feature Selection in Diabetes Risk Prediction Using Machine Learning
par: Aich, Agnideep, et autres
Publié: (2025)
par: Aich, Agnideep, et autres
Publié: (2025)
Using a Deep Learning Model to Simulate Human Stock Trader's Methods of Chart Analysis
par: Kang, Sungwoo, et autres
Publié: (2023)
par: Kang, Sungwoo, et autres
Publié: (2023)
An Efficient Compression of Deep Neural Network Checkpoints Based on Prediction and Context Modeling
par: Kim, Yuriy, et autres
Publié: (2025)
par: Kim, Yuriy, et autres
Publié: (2025)
A Composite Activation Function for Learning Stable Binary Representations
par: Park, Seokhun, et autres
Publié: (2026)
par: Park, Seokhun, et autres
Publié: (2026)
Copula-ResLogit: A Deep-Copula Framework for Unobserved Confounding Effects
par: Kamal, Kimia, et autres
Publié: (2026)
par: Kamal, Kimia, et autres
Publié: (2026)
CoCAI: Copula-based Conformal Anomaly Identification for Multivariate Time-Series
par: Pearson, Nicholas A., et autres
Publié: (2025)
par: Pearson, Nicholas A., et autres
Publié: (2025)
Task Prototype-Based Knowledge Retrieval for Multi-Task Learning from Partially Annotated Data
par: Oh, Youngmin, et autres
Publié: (2026)
par: Oh, Youngmin, et autres
Publié: (2026)
Deep Learning for Survival Analysis: A Review
par: Wiegrebe, Simon, et autres
Publié: (2023)
par: Wiegrebe, Simon, et autres
Publié: (2023)
Federated Class-Incremental Learning: A Hybrid Approach Using Latent Exemplars and Data-Free Techniques to Address Local and Global Forgetting
par: Nori, Milad Khademi, et autres
Publié: (2025)
par: Nori, Milad Khademi, et autres
Publié: (2025)
Deep Semi-Supervised Survival Analysis for Predicting Cancer Prognosis
par: Sun, Anchen, et autres
Publié: (2026)
par: Sun, Anchen, et autres
Publié: (2026)
Copula-Based Aggregation and Context-Aware Conformal Prediction for Reliable Renewable Energy Forecasting
par: Moradi, Alireza, et autres
Publié: (2026)
par: Moradi, Alireza, et autres
Publié: (2026)
Self-Predictive Dynamics for Generalization of Vision-based Reinforcement Learning
par: Kim, Kyungsoo, et autres
Publié: (2025)
par: Kim, Kyungsoo, et autres
Publié: (2025)
Mitigating Quantization Errors Due to Activation Spikes in GLU-Based LLMs
par: Yang, Jaewoo, et autres
Publié: (2024)
par: Yang, Jaewoo, et autres
Publié: (2024)
Temporal Gaussian Copula For Clinical Multivariate Time Series Data Imputation
par: Su, Ye, et autres
Publié: (2025)
par: Su, Ye, et autres
Publié: (2025)
Distributed Lag Transformer based on Time-Variable-Aware Learning for Explainable Multivariate Time Series Forecasting
par: Kim, Younghwi, et autres
Publié: (2024)
par: Kim, Younghwi, et autres
Publié: (2024)
GenFormer: A Deep-Learning-Based Approach for Generating Multivariate Stochastic Processes
par: Zhao, Haoran, et autres
Publié: (2024)
par: Zhao, Haoran, et autres
Publié: (2024)
DeepSafeMPC: Deep Learning-Based Model Predictive Control for Safe Multi-Agent Reinforcement Learning
par: Wang, Xuefeng, et autres
Publié: (2024)
par: Wang, Xuefeng, et autres
Publié: (2024)
An Introduction to Deep Survival Analysis Models for Predicting Time-to-Event Outcomes
par: Chen, George H.
Publié: (2024)
par: Chen, George H.
Publié: (2024)
Deep Learning Based Crime Prediction Models: Experiments and Analysis
par: Utsha, Rittik Basak, et autres
Publié: (2024)
par: Utsha, Rittik Basak, et autres
Publié: (2024)
TACTiS-2: Better, Faster, Simpler Attentional Copulas for Multivariate Time Series
par: Ashok, Arjun, et autres
Publié: (2023)
par: Ashok, Arjun, et autres
Publié: (2023)
SeVeDo: A Heterogeneous Transformer Accelerator for Low-Bit Inference via Hierarchical Group Quantization and SVD-Guided Mixed Precision
par: Choi, Yuseon, et autres
Publié: (2025)
par: Choi, Yuseon, et autres
Publié: (2025)
MCST-Mamba: Multivariate Mamba-Based Model for Traffic Prediction
par: Hamad, Mohamed, et autres
Publié: (2025)
par: Hamad, Mohamed, et autres
Publié: (2025)
Counterfactual Explainable AI (XAI) Method for Deep Learning-Based Multivariate Time Series Classification
par: Cetina, Alan G. Paredes, et autres
Publié: (2025)
par: Cetina, Alan G. Paredes, et autres
Publié: (2025)
TiVaT: A Transformer with a Single Unified Mechanism for Capturing Asynchronous Dependencies in Multivariate Time Series Forecasting
par: Ha, Junwoo, et autres
Publié: (2024)
par: Ha, Junwoo, et autres
Publié: (2024)
Cumulative Hazard Function Based Efficient Multivariate Temporal Point Process Learning
par: Liu, Bingqing
Publié: (2024)
par: Liu, Bingqing
Publié: (2024)
Deep Copula Classifier: Theory, Consistency, and Empirical Evaluation
par: Aich, Agnideep, et autres
Publié: (2025)
par: Aich, Agnideep, et autres
Publié: (2025)
Documents similaires
-
Deep Copula-Based Survival Analysis for Dependent Censoring with Identifiability Guarantees
par: Zhang, Weijia, et autres
Publié: (2023) -
HACSurv: A Hierarchical Copula-Based Approach for Survival Analysis with Dependent Competing Risks
par: Liu, Xin, et autres
Publié: (2024) -
GroupSegment-SHAP: Shapley Value Explanations with Group-Segment Players for Multivariate Time Series
par: Kim, Jinwoong, et autres
Publié: (2026) -
Self-Improving Interference Management Based on Deep Learning With Uncertainty Quantification
par: Lee, Hyun-Suk, et autres
Publié: (2024) -
ReTAMamba: Reliability-Aware Temporal Aggregation with Mamba for Irregular Clinical Time Series Prediction
par: Kim, Jinwoong, et autres
Publié: (2026)