David Rügamer

发表

Machine learning versus logistic regression for prognostic modelling in individuals with non-specific neck pain

B. Liew, F. Kovacs, A. Royuela, 2022, European Spine Journal.

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

H. Neumann, Bernd Bischl, Christopher Mutschler, 2022, ArXiv.

Benchmarking Online Sequence-to-Sequence and Character-based Handwriting Recognition from IMU-Enhanced Pens

Bernd Bischl, Tim Hamann, Christopher Mutschler, 2022, ArXiv.

Benchmarking online sequence-to-sequence and character-based handwriting recognition from IMU-enhanced pens

Bernd Bischl, Tim Hamann, Christopher Mutschler, 2022, International Journal on Document Analysis and Recognition (IJDAR).

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

Bernd Bischl, David Rügamer, Daniel Schalk, 2022, ArXiv.

Selective inference for additive and linear mixed models

Sonja Greven, David Rügamer, Philipp F. M. Baumann, 2020, Comput. Stat. Data Anal..

Selective inference after likelihood- or test-based model selection in linear models

Sonja Greven, David Rugamer, S. Greven, 2017, Statistics & Probability Letters.

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

M. Ingrisch, Bernd Bischl, David Rügamer, 2023, PAKDD.

Probabilistic time series forecasts with autoregressive transformation models

Philipp F. M. Baumann, T. Hothorn, T. Kneib, 2021, Statistics and Computing.

Uncertainty-aware predictive modeling for fair data-driven decisions

C. Kern, David Rügamer, Patrick Kaiser, 2022, ArXiv.

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

Bernd Bischl, Christopher Mutschler, David Rügamer, 2023, arXiv.org.

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

Bernd Bischl, Christopher Mutschler, David Rügamer, 2022, 2022 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV).

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

H. Neumann, Bernd Bischl, Christopher Mutschler, 2022, ArXiv.

Comparing shallow, deep, and transfer learning in predicting joint moments in running.

X. Zhai, B. Liew, S. Morris, 2021, Journal of biomechanics.

Transforming Autoregression: Interpretable and Expressive Time Series Forecast pdf

Torsten Hothorn, Thomas Kneib, David Rügamer, 2021, ArXiv.

Frequentist Uncertainty Quantification in Semi-Structured Neural Networks

B. Schubert, Emilio Dorigatti, Bernd Bischl, 2023, AISTATS.

Approximate Bayesian Inference with Stein Functional Variational Gradient Descent

Bernd Bischl, Tobias Pielok, David Rügamer, 2023, ICLR.

Cross-Modal Common Representation Learning with Triplet Loss Functions

Bernd Bischl, Christopher Mutschler, David Rügamer, 2022, ArXiv.

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

Bernd Bischl, Christopher Mutschler, David Rügamer, 2023, ArXiv.

Uncertainty-aware Evaluation of Time-series Classification for Online Handwriting Recognition with Domain Shift

Bernd Bischl, Christopher Mutschler, David Rügamer, 2022, STRL@IJCAI.

Domain Adaptation for Time-Series Classification to Mitigate Covariate Shift

Bernd Bischl, Christopher Mutschler, David Rügamer, 2022, ACM Multimedia.

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

Bernd Bischl, Christopher Mutschler, David Rügamer, 2023, ArXiv.

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

Andreas Bender, M. Ingrisch, Stefan Coors, 2023, Investigative radiology.

Smoothing the Edges: A General Framework for Smooth Optimization in Sparse Regularization using Hadamard Overparametrization

Christian L. Müller, C. Müller, Bernd Bischl, 2023, ArXiv.

Constrained Probabilistic Mask Learning for Task-specific Undersampled MRI Reconstruction

M. Ingrisch, Bernd Bischl, David Rügamer, 2023, ArXiv.

Towards Efficient MCMC Sampling in Bayesian Neural Networks by Exploiting Symmetry

Stephan Günnemann, Bernd Bischl, David Rügamer, 2023, ArXiv.

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

H. Neumann, Bernd Bischl, Christopher Mutschler, 2022, ArXiv.

Identifying the atmospheric drivers of drought and heat using a smoothed deep learning approach pdf

David Rügamer, Magdalena Mittermeier, Maximilian Weigert, 2021, ArXiv.

Survival-oriented embeddings for improving accessibility to complex data structures pdf

Michael Ingrisch, Bernd Bischl, David Rügamer, 2021, ArXiv.

Towards modelling hazard factors in unstructured data spaces using gradient-based latent interpolation pdf

Michael Ingrisch, Tobias Weber, Bernd Bischl, 2021, ArXiv.

Unreading Race: Purging Protected Features from Chest X-ray Embeddings

Bernd Bischl, David Rügamer, Tobias Weber, 2023, ArXiv.

Additive Higher-Order Factorization Machines

David Rugamer, David Rügamer, 2022, ArXiv.

Privacy-preserving and lossless distributed estimation of high-dimensional generalized additive mixed models

Bernd Bischl, David Rügamer, Daniel Schalk, 2022, Statistics and Computing.

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

David Rügamer, 2023, International Conference on Machine Learning.

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

David Rugamer, Bernd Bischl, Christopher Mutschler, 2022, IEEE Access.

Mixture of experts distributional regression: implementation using robust estimation with adaptive first-order methods

Bettina Grun, David Rugamer, Bernd Bischl, 2022, AStA Advances in Statistical Analysis.

Smooth and accurate predictions of joint contact force time-series in gait using over parameterised deep neural networks

X. Zhai, B. Liew, N. Cortes, 2023, Frontiers in Bioengineering and Biotechnology.

Dependent state space Student‐t processes for imputation and data augmentation in plasma diagnostics

K. Rath, C. Albert, Bernd Bischl, 2023, Contributions to Plasma Physics.

Joint Debiased Representation Learning and Imbalanced Data Clustering

Emilio Dorigatti, Bernd Bischl, Mina Rezaei, 2021, 2022 IEEE International Conference on Data Mining Workshops (ICDMW).

Domain Adaptation for Time-Series Classification to Mitigate Covariate Shift

Bernd Bischl, Christopher Mutschler, David Rügamer, 2022, ACM Multimedia.

Probabilistic time series forecasts with autoregressive transformation models

Philipp F. M. Baumann, T. Hothorn, T. Kneib, 2021, Statistics and Computing.