Home  | Tags | #p_ruegamer

#p_ruegamer

PSR+25a

Reliable Cell Trackers Say 'I Dunno!'

MedEurIPS @EurIPS 2025

#p_ruegamer

KFB+25

Differentiable Sparsity via $D$-Gating: Simple and Versatile Structured Penalization

NeurIPS 2025

#p_bischl #p_ruegamer

PSR+25

How to Make Your Cell Tracker Say 'I Dunno!'

ICCV 2025

#p_ruegamer

LFZ+25

Semi-Automated LiDAR Vegetation Classification for Mediterranean Archaeology: Designing a Pipeline Leveraging a Multi-Layer Stacked Ensemble Approach

The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLVIII-M-9-2025. Oct. 2025

#p_ruegamer

KRB+25

Achieving Interpretable Machine Learning by Functional Decomposition of Black-Box Models Into Explainable Predictor Effects

npj Artificial Intelligence. Oct. 2025. to Be Published

#p_ruegamer

KRS+25

On Training Survival Models With Scoring Rules

ECML-PKDD 2025

#p_bischl #p_ruegamer

OUF+25

Enhancing Traffic Accident Classifications: Application of NLP Methods for City Safety

ECML-PKDD 2025

#p_bischl #p_ruegamer

AKN+25

Hybrid Bernstein Normalizing Flows for Flexible Multivariate Density Regression With Interpretable Marginals

UAI 2025

#p_nagler #p_ruegamer

MRH+25

Position: The Future of Bayesian Prediction Is Prior-Fitted

ICML 2025

#p_ruegamer

PBR25

Revisiting Unbiased Implicit Variational Inference

ICML 2025

#p_bischl #p_ruegamer

RRF+25b

Can Transformers Learn Full Bayesian Inference in Context?

ICML 2025

#p_fortuin #p_ruegamer

SRN25

Adjustment for Confounding Using Pre-Trained Representations

ICML 2025

#p_nagler #p_ruegamer

SAS+25

An Interpretable Representation Learning Approach for Diffusion Tensor Imaging

MIDL 2025

#p_ruegamer

WIB+25

Preventing Sensitive Information Leakage via Post-Hoc Orthogonalization With Application to Chest Radiograph Embeddings

PAKDD 2025

#p_bischl #p_ingrisch #p_ruegamer

DKP+25

Paths and Ambient Spaces in Neural Loss Landscapes

AISTATS 2025

#p_nagler #p_ruegamer

SR25

Additive Model Boosting: New Insights and Path(ologie)s

AISTATS 2025

#p_ruegamer

KSK+25

Approximate Posteriors in Neural Networks: A Sampling Perspective

AABI 2025

#p_ruegamer

NR25

Uncertainty Quantification for Prior-Fitted Networks Using Martingale Posteriors

AABI 2025

#p_nagler #p_ruegamer

NR25a

Uncertainty Quantification for Prior-Fitted Networks Using Martingale Posteriors

FPI @ICLR 2025

#p_nagler #p_ruegamer

RRF+25

Can Transformers Learn Full Bayesian Inference in Context?

FPI @ICLR 2025

#p_fortuin #p_ruegamer

RSB+25

Efficiently Warmstarting MCMC for BNNs

FPI @ICLR 2025

#p_bischl #p_feurer #p_ruegamer

KSK+25a

Approximate Posteriors in Neural Networks: A Sampling Perspective

FPI @ICLR 2025

#p_ruegamer

KWB+25

Deep Weight Factorization: Sparse Learning Through the Lens of Artificial Symmetries

ICLR 2025

#p_bischl #p_ruegamer

LRB+25

Calibrating LLMs With Information-Theoretic Evidential Deep Learning

ICLR 2025

#p_bischl #p_ruegamer

SRN+25

Microcanonical Langevin Ensembles: Advancing the Sampling of Bayesian Neural Networks

ICLR 2025

#p_ruegamer

KBR25

Differentiable Attention Sparsity via Structured D-Gating

SLLM @ICLR 2025

#p_bischl #p_ruegamer

RRF+25a

Can Transformers Learn Full Bayesian Inference in Context?

SynthData @ICLR 2025

#p_fortuin #p_ruegamer

SKR+25

Machine Learning-Based Forecasting of Daily Acute Ischemic Stroke Admissions Using Weather Data

npj Digital Medicine 8.225. Apr. 2025

#p_bischl #p_ruegamer

WDR+25

Post-Training Network Compression for 3D Medical Image Segmentation: Reducing Computational Efforts via Tucker Decomposition

Radiology: Artificial Intelligence 7.2. Jan. 2025

#p_bischl #p_ingrisch #p_ruegamer

RLA+24

A Functional Extension of Semi-Structured Networks

NeurIPS 2024

#p_ruegamer

KBD+24

Estimating Conditional Distributions With Neural Networks Using R Package Deeptrafo

Journal of Statistical Software 111.10. Dec. 2024

#p_ruegamer

GRL+24

Functional Data Analysis: An Introduction and Recent Developments

Biometrical Journal 66.7. Oct. 2024

#p_ruegamer

PBR25a

Semi-Implicit Variational Inference via Kernelized Path Gradient Descent

Preprint (Oct. 2024)

#p_bischl #p_ruegamer

WWP+24

Towards Efficient Posterior Sampling in Deep Neural Networks via Symmetry Removal (Extended Abstract)

IJCAI 2024

#p_bischl #p_guennemann #p_ruegamer

OHR+24

Fusing Structure From Motion and Simulation-Augmented Pose Regression From Optical Flow for Challenging Indoor Environments

Journal of Visual Communication and Image Representation 103. Aug. 2024

#p_bischl #p_ruegamer

BLP+24

Motion Analysis in Neurological Rehabilitation: From the Lab to the Clinic

Translational Neurorehabilitation. Aug. 2024

#p_ruegamer

HLE+24

Position: Why We Must Rethink Empirical Research in Machine Learning

ICML 2024

#p_bischl #p_boulesteix #p_feurer #p_huellermeier #p_ruegamer

PSP+24

Position: Bayesian Deep Learning Is Needed in the Age of Large-Scale AI

ICML 2024

#p_fortuin #p_ruegamer

RKW+24

Generalizing Orthogonalization for Models With Non-Linearities

ICML 2024

#p_bischl #p_nagler #p_ruegamer

SWP+24

Connecting the Dots: Is Mode Connectedness the Key to Feasible Sample-Based Inference in Bayesian Neural Networks?

ICML 2024

#p_bischl #p_ruegamer

RKC+24

Interpretable Machine Learning for TabPFN

XAI 2024

#p_bischl #p_feurer #p_nagler #p_ruegamer

KKS+24

How Inverse Conditional Flows Can Serve as a Substitute for Distributional Regression

UAI 2024

#p_bischl #p_ruegamer

KRS24

Achieving Interpretable Machine Learning by Functional Decomposition of Black-Box Models Into Explainable Predictor Effects

Preprint (Jul. 2024)

#p_ruegamer

CBR+24

Leveraging (Sentence) Transformer Models With Contrastive Learning for Identifying Machine-Generated Text

SemEval @NAACL 2024

#p_ruegamer #p_schuetze

SR24

Editorial Special Issue: Bridging the Gap Between AI and Statistics

Advances in Statistical Analysis 108. Jun. 2024

#p_ruegamer

DRS+24

Bayesian Semi-Structured Subspace Inference

AISTATS 2024

#p_ruegamer

Rue24

Scalable Higher-Order Tensor Product Spline Models

AISTATS 2024

#p_ruegamer

TRK+24

Interpretable Additive Tabular Transformer Networks

Transactions on Machine Learning Research. May. 2024

#p_ruegamer

LPR+24

Strategies to Optimise Machine Learning Classification Performance When Using Biomechanical Features

Journal of Biomechanics 165. Mar. 2024

#p_bischl #p_ruegamer

GRG24

Methoden Für Die Analyse Funktionaler Daten

Moderne Verfahren Der Angewandten Statistik. Mar. 2024

#p_ruegamer

LRB24

Neuromechanical Stabilisation of the Centre of Mass During Running

Gait and Posture 108. Feb. 2024

#p_ruegamer

SBR24

Privacy-Preserving and Lossless Distributed Estimation of High-Dimensional Generalized Additive Mixed Models

Statistics and Computing 34.31. Feb. 2024

#p_bischl #p_ruegamer

WIB+24

Constrained Probabilistic Mask Learning for Task-Specific Undersampled MRI Reconstruction

WACV 2024

#p_bischl #p_ingrisch #p_ruegamer

ZYM+23a

Baby's CoThought: Leveraging Large Language Models for Enhanced Reasoning in Compact Models

BabyLM Challenge @CoNLL 2023)

#p_kasneci_gjergji #p_kreuter #p_ruegamer #p_schuetze

SCS+23

A Comprehensive Machine Learning Benchmark Study for Radiomics-Based Survival Analysis of CT Imaging Data in Patients With Hepatic Metastases of CRC

Investigative Radiology 58.12. Dec. 2023

#p_bischl #p_ingrisch #p_ruegamer

RPB+23

Mixture of Experts Distributional Regression: Implementation Using Robust Estimation With Adaptive First-Order Methods

Advances in Statistical Analysis. Nov. 2023

#p_bischl #p_ruegamer

WIB+23a

Post-Hoc Orthogonalization for Mitigation of Protected Feature Bias in CXR Embeddings

Preprint (Nov. 2023)

#p_bischl #p_ingrisch #p_ruegamer

WWP+23

Towards Efficient MCMC Sampling in Bayesian Neural Networks by Exploiting Symmetry

ECML-PKDD 2023

#p_bischl #p_guennemann #p_ruegamer

LKR+23

Automatic Variable Selection Algorithms in Prognostic Factor Research in Neck Pain

Journal of Clinical Medicine. Sep. 2023

#p_ruegamer

ORH+23

Auxiliary Cross-Modal Representation Learning With Triplet Loss Functions for Online Handwriting Recognition

IEEE Access 11. Aug. 2023

#p_bischl #p_ruegamer

Rue23

A New PHO-Rmula for Improved Performance of Semi-Structured Networks

ICML 2023

#p_ruegamer

KBM+23

Sparse Modality Regression

IWSM 2023

#p_bischl #p_mueller #p_ruegamer

LRM+23

Smooth and Accurate Predictions of Joint Contact Force Timeseries in Gait Using Overparameterised Deep Neural Networks

Frontiers in Bioengineering and Biotechnology 11. Jul. 2023

#p_ruegamer

KMB+23a

Smoothing the Edges: Smooth Optimization for Sparse Regularization Using Hadamard Overparametrization

Preprint (Jul. 2023)

#p_bischl #p_mueller #p_ruegamer

WIB+23

Cascaded Latent Diffusion Models for High-Resolution Chest X-Ray Synthesis

PAKDD 2023

#p_bischl #p_ingrisch #p_ruegamer

RRB+23

Dependent State Space Student-T Processes for Imputation and Data Augmentation in Plasma Diagnostics

Contributions to Plasma Physics 63.5-6. May. 2023

#p_bischl #p_ruegamer

PBR23

Approximate Bayesian Inference With Stein Functional Variational Gradient Descent

ICLR 2023

#p_bischl #p_ruegamer

DSB+23

Frequentist Uncertainty Quantification in Semi-Structured Neural Networks

AISTATS 2023

#p_bischl #p_ruegamer

SBR23

Accelerated Componentwise Gradient Boosting Using Efficient Data Representation and Momentum-Based Optimization

Journal of Computational and Graphical Statistics 32.2. Apr. 2023

#p_bischl #p_ruegamer

RKK23

Semi-Structured Distributional Regression

American Statistician. Feb. 2023

#p_bischl #p_ruegamer

RBK+23

Probabilistic Time Series Forecasts With Autoregressive Transformation Models

Statistics and Computing 33.2. Feb. 2023

#p_ruegamer

Rue23a

Mixdistreg: An R Package for Fitting Mixture of Experts Distributional Regression With Adaptive First-Order Methods

Preprint (Feb. 2023)

#p_ruegamer

ORH+22c

Benchmarking Online Sequence-to-Sequence and Character-Based Handwriting Recognition From IMU-Enhanced Pens

International Journal on Document Analysis and Recognition 25.4. Dec. 2022

#p_bischl #p_ruegamer

FDG+22

Challenges in Interpreting Epidemiological Surveillance Data – Experiences From Germany

Journal of Computational and Graphical Statistics 32.3. Dec. 2022

#p_bischl #p_kauermann #p_kuechenhoff #p_ruegamer

RDR+22

Joint Debiased Representation Learning and Imbalanced Data Clustering

Workshop @ICDM 2022

#p_bischl #p_ruegamer

ZMN+22

What Cleaves? Is Proteasomal Cleavage Prediction Reaching a Ceiling?

LMRL @NeurIPS 2022

#p_bischl #p_kreuter #p_ruegamer #p_schuetze

ORH+22a

Domain Adaptation for Time-Series Classification to Mitigate Covariate Shift

MM 2022

#p_bischl #p_ruegamer

RRB+22

Data Augmentation for Disruption Prediction via Robust Surrogate Models

Journal of Plasma Physics 88.5. Oct. 2022

#p_bischl #p_ruegamer

RBW+22a

Factorized Structured Regression for Large-Scale Varying Coefficient Models

ECML-PKDD 2022

#p_bischl #p_mueller #p_ruegamer

BSC+22

Developing Open Source Educational Resources for Machine Learning and Data Science

Teaching Machine Learning and Artificial Intelligence Workshop @ECML-PKDD 2022

#p_bischl #p_ruegamer #p_scheipl

WIB+22

Implicit Embeddings via GAN Inversion for High Resolution Chest Radiographs

MAD @MICCAI 2022

#p_bischl #p_ingrisch #p_ruegamer

ORH+22e

Representation Learning for Tablet and Paper Domain Adaptation in Favor of Online Handwriting Recognition

MPRSS @ICPR 2022

#p_bischl #p_ruegamer

ORR+22

Benchmarking Visual-Inertial Deep Multimodal Fusion for Relative Pose Regression and Odometry-Aided Absolute Pose Regression

Preprint (Aug. 2022)

#p_bischl #p_ruegamer

KLL+22

Uncertainty-Aware Evaluation of Time-Series Classification for Online Handwriting Recognition With Domain Shift

STRL 2022 @IJCAI-ECAI 2022

#p_bischl #p_ruegamer

MWR+22

A Deep Learning Based Classification of Atmospheric Circulation Types Over Europe: Projection of Future Changes in a CMIP6 Large Ensemble

Environmental Research Letters 17.8. Jul. 2022

#p_kuechenhoff #p_ruegamer

KWB+22

DeepPAMM: Deep Piecewise Exponential Additive Mixed Models for Complex Hazard Structures in Survival Analysis

PAKDD 2022

#p_bischl #p_ruegamer

Rue22

Additive Higher-Order Factorization Machines

Preprint (May. 2022)

#p_ruegamer

FDR22

Combining Graph Neural Networks and Spatio-Temporal Disease Models to Predict COVID-19 Cases in Germany

Scientific Reports 12.3930. Mar. 2022

#p_bischl #p_kauermann #p_ruegamer

ORH+22

Cross-Modal Common Representation Learning With Triplet Loss Functions

Preprint (Mar. 2022)

#p_bischl #p_ruegamer

ORH+22b

Joint Classification and Trajectory Regression of Online Handwriting Using a Multi-Task Learning Approach

WACV 2022

#p_bischl #p_ruegamer

WIF+21

Survival-Oriented Embeddings for Improving Accessibility to Complex Data Structures

Bridging the Gap: From ML Research to Clinical Practice @NeurIPS 2021

#p_bischl #p_ingrisch #p_ruegamer

WIB+21

Towards Modelling Hazard Factors in Unstructured Data Spaces Using Gradient-Based Latent Interpolation

Deep Generative Models and Downstream Applications @NeurIPS 2021

#p_bischl #p_ingrisch #p_ruegamer

MWR21

Identifying the Atmospheric Drivers of Drought and Heat Using a Smoothed Deep Learning Approach

Tackling Climate Change With ML @NeurIPS 2021

#p_kuechenhoff #p_ruegamer

CSB+21

Automatic Componentwise Boosting: An Interpretable AutoML System

ADS @ECML-PKDD 2021

#p_bischl #p_ruegamer

KPW+21

Semi-Structured Deep Piecewise Exponential Models

AAAI-SPACA 2021

#p_bischl #p_ruegamer #p_wachinger

GHR+21

Deep Semi-Supervised Learning for Time Series Classification

Preprint (Feb. 2021)

#p_bischl #p_ruegamer

RSB+21a

Deepregression: Fitting Semi-Structured Deep Distributional Regression in R

2021

#p_bischl #p_ruegamer

BHR20

Deep Conditional Transformation Models

Preprint (Oct. 2020)

#p_ruegamer

RPB20

Neural Mixture Distributional Regression

Preprint (Oct. 2020)

#p_bischl #p_ruegamer

BRS+20

A General Machine Learning Framework for Survival Analysis

ECML-PKDD 2020

#p_bischl #p_ruegamer #p_scheipl
Back to Top

0001-01-01 - Last modified: 0001-01-01