Estimating Conditional Distributions with Neural Networks using R package deeptrafo
Fuente:
arXiv
Saved in:
| Main Authors: | Kook, Lucas, Baumann, Philipp FM, Dürr, Oliver, Sick, Beate, Rügamer, David |
|---|---|
| Format: | Preprint |
| Published: |
2022
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Bayesian Semi-structured Subspace Inference
by: Dold, Daniel, et al.
Published: (2024)
by: Dold, Daniel, et al.
Published: (2024)
Interpretable Neural Causal Models with TRAM-DAGs
by: Sick, Beate, et al.
Published: (2025)
by: Sick, Beate, et al.
Published: (2025)
How Inverse Conditional Flows Can Serve as a Substitute for Distributional Regression
by: Kook, Lucas, et al.
Published: (2024)
by: Kook, Lucas, et al.
Published: (2024)
On the Epistemic Uncertainty of Overparametrized Neural Networks
by: Rügamer, David
Published: (2026)
by: Rügamer, David
Published: (2026)
Bernstein Flows for Flexible Posteriors in Variational Bayes
by: Dürr, Oliver, et al.
Published: (2022)
by: Dürr, Oliver, et al.
Published: (2022)
Generalizing Orthogonalization for Models with Non-Linearities
by: Rügamer, David, et al.
Published: (2024)
by: Rügamer, David, et al.
Published: (2024)
ARMA Cell: A Modular and Effective Approach for Neural Autoregressive Modeling
by: Schiele, Philipp, et al.
Published: (2022)
by: Schiele, Philipp, et al.
Published: (2022)
Uncertainty Quantification for Prior-Data Fitted Networks using Martingale Posteriors
by: Nagler, Thomas, et al.
Published: (2025)
by: Nagler, Thomas, et al.
Published: (2025)
baskexact: An R package for analytical calculation of basket trial operating characteristics
by: Baumann, Lukas
Published: (2024)
by: Baumann, Lukas
Published: (2024)
Paths and Ambient Spaces in Neural Loss Landscapes
by: Dold, Daniel, et al.
Published: (2025)
by: Dold, Daniel, et al.
Published: (2025)
Mixture of Experts Distributional Regression: Implementation Using Robust Estimation with Adaptive First-order Methods
by: Rügamer, David, et al.
Published: (2022)
by: Rügamer, David, et al.
Published: (2022)
Scalable Higher-Order Tensor Product Spline Models
by: Rügamer, David
Published: (2024)
by: Rügamer, David
Published: (2024)
Rethinking Intrinsic Dimension Estimation in Neural Representations
by: Schulte, Rickmer, et al.
Published: (2026)
by: Schulte, Rickmer, et al.
Published: (2026)
Instrumental Variable Estimation of Distributional Causal Effects
by: Kook, Lucas, et al.
Published: (2024)
by: Kook, Lucas, et al.
Published: (2024)
Adjustment for Confounding using Pre-Trained Representations
by: Schulte, Rickmer, et al.
Published: (2025)
by: Schulte, Rickmer, et al.
Published: (2025)
Connecting the Dots: Is Mode-Connectedness the Key to Feasible Sample-Based Inference in Bayesian Neural Networks?
by: Sommer, Emanuel, et al.
Published: (2024)
by: Sommer, Emanuel, et al.
Published: (2024)
On Training Survival Models with Scoring Rules
by: Kopper, Philipp, et al.
Published: (2024)
by: Kopper, Philipp, et al.
Published: (2024)
A Functional Extension of Semi-Structured Networks
by: Rügamer, David, et al.
Published: (2024)
by: Rügamer, David, et al.
Published: (2024)
Outcome prediction and individualized treatment effect estimation in patients with large vessel occlusion stroke
by: Herzog, Lisa, et al.
Published: (2025)
by: Herzog, Lisa, et al.
Published: (2025)
Stabilizing Direct Training of Spiking Neural Networks: Membrane Potential Initialization and Threshold-robust Surrogate Gradient
by: Kook, Hyunho, et al.
Published: (2025)
by: Kook, Hyunho, et al.
Published: (2025)
Post-Training Network Compression for 3D Medical Image Segmentation: Reducing Computational Efforts via Tucker Decomposition
by: Weber, Tobias, et al.
Published: (2024)
by: Weber, Tobias, et al.
Published: (2024)
Homo Novus
by: Dürr, Oliver
Published: (2022)
by: Dürr, Oliver
Published: (2022)
AutoStan: Autonomous Bayesian Model Improvement via Predictive Feedback
by: Dürr, Oliver
Published: (2026)
by: Dürr, Oliver
Published: (2026)
CMiNet: R package for learning the Consensus Microbiome Network
by: Aghdam, Rosa, et al.
Published: (2024)
by: Aghdam, Rosa, et al.
Published: (2024)
The penetrance R package for Estimation of Age Specific Risk in Family-based Studies
by: Kubista, Nicolas, et al.
Published: (2024)
by: Kubista, Nicolas, et al.
Published: (2024)
Representation Learning for Tablet and Paper Domain Adaptation in Favor of Online Handwriting Recognition
by: Ott, Felix, et al.
Published: (2023)
by: Ott, Felix, et al.
Published: (2023)
Towards Explainable Evolution Strategies with Large Language Models
by: Baumann, Jill, et al.
Published: (2024)
by: Baumann, Jill, et al.
Published: (2024)
Semantically Conditioned Diffusion Models for Cerebral DSA Synthesis
by: Xu, Qiwen, et al.
Published: (2026)
by: Xu, Qiwen, et al.
Published: (2026)
pintervals: an R package for model-agnostic prediction intervals
by: Randahl, David, et al.
Published: (2026)
by: Randahl, David, et al.
Published: (2026)
Embedded Distributed Inference of Deep Neural Networks: A Systematic Review
by: Peccia, Federico Nicolás, et al.
Published: (2024)
by: Peccia, Federico Nicolás, et al.
Published: (2024)
Meta-analysis with the glmmTMB R package
by: Williams, Coralie, et al.
Published: (2026)
by: Williams, Coralie, et al.
Published: (2026)
Estimating Network Models using Neural Networks
by: Mele, Angelo
Published: (2025)
by: Mele, Angelo
Published: (2025)
Evolutionary Multi-Objective Optimization of Large Language Model Prompts for Balancing Sentiments
by: Baumann, Jill, et al.
Published: (2024)
by: Baumann, Jill, et al.
Published: (2024)
Unlocking Structured Thinking in Language Models with Cognitive Prompting
by: Kramer, Oliver, et al.
Published: (2024)
by: Kramer, Oliver, et al.
Published: (2024)
Introducing the vfunc R package
by: Hankin, Robin K. S.
Published: (2026)
by: Hankin, Robin K. S.
Published: (2026)
AutoWMM and JAGStree -- R packages for Population Size Estimation on Relational Tree-Structured Data
by: Flynn, Mallory J, et al.
Published: (2025)
by: Flynn, Mallory J, et al.
Published: (2025)
Semi-Implicit Variational Inference via Kernelized Path Gradient Descent
by: Pielok, Tobias, et al.
Published: (2025)
by: Pielok, Tobias, et al.
Published: (2025)
Monitoring data in R with the lumberjack package
by: van der Loo, Mark P. J.
Published: (2020)
by: van der Loo, Mark P. J.
Published: (2020)
An introduction to R package `mvs`
by: van Loon, Wouter
Published: (2025)
by: van Loon, Wouter
Published: (2025)
REPPlab: An R package for detecting clusters and outliers using exploratory projection pursuit
by: Fischer, Daniel, et al.
Published: (2016)
by: Fischer, Daniel, et al.
Published: (2016)
Similar Items
-
Bayesian Semi-structured Subspace Inference
by: Dold, Daniel, et al.
Published: (2024) -
Interpretable Neural Causal Models with TRAM-DAGs
by: Sick, Beate, et al.
Published: (2025) -
How Inverse Conditional Flows Can Serve as a Substitute for Distributional Regression
by: Kook, Lucas, et al.
Published: (2024) -
On the Epistemic Uncertainty of Overparametrized Neural Networks
by: Rügamer, David
Published: (2026) -
Bernstein Flows for Flexible Posteriors in Variational Bayes
by: Dürr, Oliver, et al.
Published: (2022)