Christian L. Müller

Publication Activity (10 Years)

Years Active: 2009-2023
Publications (10 Years): 26

Top Topics

Partial Differential Equations

Robust Regression

Top Venues

PLoS Comput. Biol.

J. Open Source Softw.

Publications

David Rügamer, Chris Kolb, Cornelius Fritz, Florian Pfisterer, Philipp Kopper, Bernd Bischl, Ruolin Shen, Christina Bukas, Lisa Barros de Andrade e Sousa, Dominik Thalmeier, Philipp F. M. Baumann, Lucas Kook, Nadja Klein, Christian L. Müller
deepregression: A Flexible Neural Network Framework for Semi-Structured Deep Distributional Regression. J. Stat. Softw. 105 (2) (2023)
Theresa Ullmann, Stefanie Peschel, Philipp F. M. Baumann, Christian L. Müller, Anne-Laure Boulesteix
Over-optimism in unsupervised microbiome analysis: Insights from network learning and clustering. PLoS Comput. Biol. 19 (1) (2023)
Chris Kolb, Christian L. Müller, Bernd Bischl, David Rügamer
Smoothing the Edges: A General Framework for Smooth Optimization in Sparse Regularization using Hadamard Overparametrization. CoRR (2023)
Aditya Mishra, Christian L. Müller
Robust regression with compositional covariates. Comput. Stat. Data Anal. 165 (2022)
Suryanarayana Maddu, Dominik Sturm, Christian L. Müller, Ivo F. Sbalzarini
Inverse Dirichlet weighting enables reliable training of physics informed neural networks. Mach. Learn. Sci. Technol. 3 (1) (2022)
David Rügamer, Andreas Bender, Simon Wiegrebe, Daniel Racek, Bernd Bischl, Christian L. Müller, Clemens Stachl
Factorized Structured Regression for Large-Scale Varying Coefficient Models. ECML/PKDD (5) (2022)
Alice J. Sommer, Annette Peters, Martina Rommel, Josef Cyrys, Harald Grallert, Dirk Haller, Christian L. Müller, Marie-Abèle C. Bind
A randomization-based causal inference framework for uncovering environmental exposure effects on human gut microbiota. PLoS Comput. Biol. 18 (5) (2022)
David Rügamer, Andreas Bender, Simon Wiegrebe, Daniel Racek, Bernd Bischl, Christian L. Müller, Clemens Stachl
Factorized Structured Regression for Large-Scale Varying Coefficient Models. CoRR (2022)
David Rügamer, Ruolin Shen, Christina Bukas, Lisa Barros de Andrade e Sousa, Dominik Thalmeier, Nadja Klein, Chris Kolb, Florian Pfisterer, Philipp Kopper, Bernd Bischl, Christian L. Müller
deepregression: a Flexible Neural Network Framework for Semi-Structured Deep Distributional Regression. CoRR (2021)
Elisabeth Ailer, Christian L. Müller, Niki Kilbertus
A causal view on compositional data. CoRR (2021)
Stefanie Peschel, Christian L. Müller, Erika von Mutius, Anne-Laure Boulesteix, Martin Depner
NetCoMi: network construction and comparison for microbiome data in R. Briefings Bioinform. 22 (4) (2021)
Grace Yoon, Christian L. Müller, Irina Gaynanova
Fast Computation of Latent Correlations. J. Comput. Graph. Stat. 30 (4) (2021)
Léo Simpson, Patrick L. Combettes, Christian L. Müller
c-lasso - a Python package for constrained sparse and robust regression and classification. J. Open Source Softw. 6 (57) (2021)
Mingze Huang, Christian L. Müller, Irina Gaynanova
latentcor: An R Package for estimating latent correlations from mixed data types. J. Open Source Softw. 6 (65) (2021)
Dominik Thalmeier, Gregor Miller, Elida Schneltzer, Anja Hurt, Martin Hrabé de Angelis, Lore Becker, Christian L. Müller, Holger Maier
Objective hearing threshold identification from auditory brainstem response measurements using supervised and self-supervised approaches. CoRR (2021)
Suryanarayana Maddu, Dominik Sturm, Christian L. Müller, Ivo F. Sbalzarini
Inverse-Dirichlet Weighting Enables Reliable Training of Physics Informed Neural Networks. CoRR (2021)
Suryanarayana Maddu, Dominik Sturm, Bevan L. Cheeseman, Christian L. Müller, Ivo F. Sbalzarini
STENCIL-NET: Data-driven solution-adaptive discretization of partial differential equations. CoRR (2021)
Suryanarayana Maddu, Bevan L. Cheeseman, Christian L. Müller, Ivo F. Sbalzarini
Learning physically consistent mathematical models from data using group sparsity. CoRR (2020)
Léo Simpson, Patrick L. Combettes, Christian L. Müller
c-lasso - a Python package for constrained sparse and robust regression and classification. CoRR (2020)
Suryanarayana Maddu, Bevan L. Cheeseman, Ivo F. Sbalzarini, Christian L. Müller
Stability selection enables robust learning of partial differential equations from limited noisy data. CoRR (2019)
Tarmo Äijö, Christian L. Müller, Richard Bonneau
Temporal probabilistic modeling of bacterial compositions derived from 16S rRNA sequencing. Bioinform. 34 (3) (2018)
Kevin Drew, Christian L. Müller, Richard Bonneau, Edward M. Marcotte
Identifying direct contacts between protein complex subunits from their conditional dependence in proteomics datasets. PLoS Comput. Biol. 13 (10) (2017)
Sebastian U. Stich, Christian L. Müller, Bernd Gärtner
Variable metric random pursuit. Math. Program. 156 (1-2) (2016)
Ramya Raviram, Pedro P. Rocha, Christian L. Müller, Emily R. Miraldi, Sana Badri, Yi Fu, Emily Swanzey, Charlotte Proudhon, Valentina Snetkova, Richard Bonneau, Jane A. Skok
4C-ker: A Method to Reproducibly Identify Genome-Wide Interactions Captured by 4C-Seq Experiments. PLoS Comput. Biol. 12 (3) (2016)
Jacob Bien, Irina Gaynanova, Johannes Lederer, Christian L. Müller
Non-convex Global Minimization and False Discovery Rate Control for the TREX. CoRR (2016)
Kari Y. Lam, Zachary M. Westrick, Christian L. Müller, Lionel A. Christiaen, Richard Bonneau
Fused Regression for Multi-source Gene Regulatory Network Inference. PLoS Comput. Biol. 12 (12) (2016)
Zachary D. Kurtz, Christian L. Müller, Emily R. Miraldi, Dan R. Littman, Martin J. Blaser, Richard A. Bonneau
Sparse and Compositionally Robust Inference of Microbial Ecological Networks. PLoS Comput. Biol. 11 (5) (2015)
Johannes Lederer, Christian L. Müller
Don't Fall for Tuning Parameters: Tuning-Free Variable Selection in High Dimensions With the TREX. AAAI (2015)
Sebastian U. Stich, Christian L. Müller, Bernd Gärtner
Optimization of Convex Functions with Random Pursuit. SIAM J. Optim. 23 (2) (2013)
Christian L. Müller, Ivo F. Sbalzarini
Energy Landscapes of Atomic Clusters as Black Box Optimization Benchmarks. Evol. Comput. 20 (4) (2012)
Sebastian U. Stich, Christian L. Müller
On Spectral Invariance of Randomized Hessian and Covariance Matrix Adaptation Schemes. PPSN (1) (2012)
Sebastian U. Stich, Christian L. Müller, Bernd Gärtner
Optimization of Convex Functions with Random Pursuit CoRR (2011)
Christian L. Müller, Rajesh Ramaswamy, Ivo F. Sbalzarini
Global parameter identification of stochastic reaction networks from single trajectories CoRR (2011)
Christian L. Müller, Ivo F. Sbalzarini
Global Characterization of the CEC 2005 Fitness Landscapes Using Fitness-Distance Analysis. EvoApplications (1) (2011)
Christian L. Müller
Exploring the common concepts of adaptive MCMC and Covariance Matrix Adaptation schemes. Theory of Evolutionary Algorithms (2010)
Christian L. Müller, Ivo F. Sbalzarini
Gaussian Adaptation Revisited - An Entropic View on Covariance Matrix Adaptation. EvoApplications (1) (2010)
Christian L. Müller, Ivo F. Sbalzarini
Gaussian Adaptation as a unifying framework for continuous black-box optimization and adaptive Monte Carlo sampling. IEEE Congress on Evolutionary Computation (2010)
Christian L. Müller, Benedikt Baumgartner, Ivo F. Sbalzarini
Particle Swarm CMA Evolution Strategy for the optimization of multi-funnel landscapes. IEEE Congress on Evolutionary Computation (2009)
Christian L. Müller, Ivo F. Sbalzarini
A Tunable Real-world Multi-funnel Benchmark Problem for Evolutionary Optimization - And Why Parallel Island Models Might Remedy the Failure of CMA-ES on It. IJCCI (2009)
Christian L. Müller, Benedikt Baumgartner, Georg Ofenbeck, Birte Schrader, Ivo F. Sbalzarini
pCMALib: a parallel fortran 90 library for the evolution strategy with covariance matrix adaptation. GECCO (2009)