Christian L. Müller

42 papers A* 1A 1B 2C 1Journal 31Unranked 5

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Smoothing the Edges: Smooth Optimization for Sparse Regularization Using Hadamard Overparametrization. Mach. Learn. Chris Kolb, Christian L. Müller, Bernd Bischl, David Rügamer
2023	J	`jnl`	Over-optimism in unsupervised microbiome analysis: Insights from network learning and clustering. PLoS Comput. Biol. Theresa Ullmann, Stefanie Peschel, Philipp F. M. Baumann, Christian L. Müller, Anne-Laure Boulesteix
2023	J	`jnl`	Smoothing the Edges: A General Framework for Smooth Optimization in Sparse Regularization using Hadamard Overparametrization. CoRR Chris Kolb, Christian L. Müller, Bernd Bischl, David Rügamer
2023	J	`jnl`	deepregression: A Flexible Neural Network Framework for Semi-Structured Deep Distributional Regression. J. Stat. Softw. 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
2022	J	`jnl`	A randomization-based causal inference framework for uncovering environmental exposure effects on human gut microbiota. PLoS Comput. Biol. Alice J. Sommer, Annette Peters, Martina Rommel, Josef Cyrys, Harald Grallert, Dirk Haller, Christian L. Müller, Marie-Abèle C. Bind
2022	—	`conf`	Factorized Structured Regression for Large-Scale Varying Coefficient Models. ECML/PKDD (5) David Rügamer, Andreas Bender, Simon Wiegrebe, Daniel Racek, Bernd Bischl, Christian L. Müller, Clemens Stachl
2022	J	`jnl`	Factorized Structured Regression for Large-Scale Varying Coefficient Models. CoRR David Rügamer, Andreas Bender, Simon Wiegrebe, Daniel Racek, Bernd Bischl, Christian L. Müller, Clemens Stachl
2022	J	`jnl`	Inverse Dirichlet weighting enables reliable training of physics informed neural networks. Mach. Learn. Sci. Technol. Suryanarayana Maddu, Dominik Sturm, Christian L. Müller, Ivo F. Sbalzarini
2022	J	`jnl`	Robust regression with compositional covariates. Comput. Stat. Data Anal. Aditya Mishra, Christian L. Müller
2021	J	`jnl`	A causal view on compositional data. CoRR Elisabeth Ailer, Christian L. Müller, Niki Kilbertus
2021	J	`jnl`	Fast Computation of Latent Correlations. J. Comput. Graph. Stat. Grace Yoon, Christian L. Müller, Irina Gaynanova
2021	J	`jnl`	Inverse-Dirichlet Weighting Enables Reliable Training of Physics Informed Neural Networks. CoRR Suryanarayana Maddu, Dominik Sturm, Christian L. Müller, Ivo F. Sbalzarini
2021	J	`jnl`	NetCoMi: network construction and comparison for microbiome data in R. Briefings Bioinform. Stefanie Peschel, Christian L. Müller, Erika von Mutius, Anne-Laure Boulesteix, Martin Depner
2021	J	`jnl`	Objective hearing threshold identification from auditory brainstem response measurements using supervised and self-supervised approaches. CoRR Dominik Thalmeier, Gregor Miller, Elida Schneltzer, Anja Hurt, Martin Hrabé de Angelis, Lore Becker, Christian L. Müller, Holger Maier
2021	J	`jnl`	STENCIL-NET: Data-driven solution-adaptive discretization of partial differential equations. CoRR Suryanarayana Maddu, Dominik Sturm, Bevan L. Cheeseman, Christian L. Müller, Ivo F. Sbalzarini
2021	J	`jnl`	c-lasso - a Python package for constrained sparse and robust regression and classification. J. Open Source Softw. Léo Simpson, Patrick L. Combettes, Christian L. Müller
2021	J	`jnl`	deepregression: a Flexible Neural Network Framework for Semi-Structured Deep Distributional Regression. CoRR 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
2021	J	`jnl`	latentcor: An R Package for estimating latent correlations from mixed data types. J. Open Source Softw. Mingze Huang, Christian L. Müller, Irina Gaynanova
2020	J	`jnl`	Learning physically consistent mathematical models from data using group sparsity. CoRR Suryanarayana Maddu, Bevan L. Cheeseman, Christian L. Müller, Ivo F. Sbalzarini
2020	J	`jnl`	c-lasso - a Python package for constrained sparse and robust regression and classification. CoRR Léo Simpson, Patrick L. Combettes, Christian L. Müller
2019	J	`jnl`	Stability selection enables robust learning of partial differential equations from limited noisy data. CoRR Suryanarayana Maddu, Bevan L. Cheeseman, Ivo F. Sbalzarini, Christian L. Müller
2018	J	`jnl`	Temporal probabilistic modeling of bacterial compositions derived from 16S rRNA sequencing. Bioinform. Tarmo Äijö, Christian L. Müller, Richard Bonneau
2017	J	`jnl`	Identifying direct contacts between protein complex subunits from their conditional dependence in proteomics datasets. PLoS Comput. Biol. Kevin Drew, Christian L. Müller, Richard Bonneau, Edward M. Marcotte
2016	J	`jnl`	4C-ker: A Method to Reproducibly Identify Genome-Wide Interactions Captured by 4C-Seq Experiments. PLoS Comput. Biol. 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
2016	J	`jnl`	Fused Regression for Multi-source Gene Regulatory Network Inference. PLoS Comput. Biol. Kari Y. Lam, Zachary M. Westrick, Christian L. Müller, Lionel A. Christiaen, Richard Bonneau
2016	J	`jnl`	Non-convex Global Minimization and False Discovery Rate Control for the TREX. CoRR Jacob Bien, Irina Gaynanova, Johannes Lederer, Christian L. Müller
2016	J	`jnl`	Variable metric random pursuit. Math. Program. Sebastian U. Stich, Christian L. Müller, Bernd Gärtner
2015	A*	`conf`	Don't Fall for Tuning Parameters: Tuning-Free Variable Selection in High Dimensions With the TREX. AAAI Johannes Lederer, Christian L. Müller
2015	J	`jnl`	Sparse and Compositionally Robust Inference of Microbial Ecological Networks. PLoS Comput. Biol. Zachary D. Kurtz, Christian L. Müller, Emily R. Miraldi, Dan R. Littman, Martin J. Blaser, Richard A. Bonneau
2013	J	`jnl`	Optimization of Convex Functions with Random Pursuit. SIAM J. Optim. Sebastian U. Stich, Christian L. Müller, Bernd Gärtner
2012	J	`jnl`	Energy Landscapes of Atomic Clusters as Black Box Optimization Benchmarks. Evol. Comput. Christian L. Müller, Ivo F. Sbalzarini
2012	—	`conf`	On Spectral Invariance of Randomized Hessian and Covariance Matrix Adaptation Schemes. PPSN (1) Sebastian U. Stich, Christian L. Müller
2011	—	`conf`	Global Characterization of the CEC 2005 Fitness Landscapes Using Fitness-Distance Analysis. EvoApplications (1) Christian L. Müller, Ivo F. Sbalzarini
2011	J	`jnl`	Global parameter identification of stochastic reaction networks from single trajectories CoRR Christian L. Müller, Rajesh Ramaswamy, Ivo F. Sbalzarini
2011	J	`jnl`	Optimization of Convex Functions with Random Pursuit CoRR Sebastian U. Stich, Christian L. Müller, Bernd Gärtner
2010	—	`—`	Black-box Landscapes: Characterization, Optimization, Sampling, and Application to Geometric Configuration Problems. Christian L. Müller
2010	—	`conf`	Exploring the common concepts of adaptive MCMC and Covariance Matrix Adaptation schemes. Theory of Evolutionary Algorithms Christian L. Müller
2010	—	`conf`	Gaussian Adaptation Revisited - An Entropic View on Covariance Matrix Adaptation. EvoApplications (1) Christian L. Müller, Ivo F. Sbalzarini
2010	B	`conf`	Gaussian Adaptation as a unifying framework for continuous black-box optimization and adaptive Monte Carlo sampling. IEEE Congress on Evolutionary Computation Christian L. Müller, Ivo F. Sbalzarini
2009	C	`conf`	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 Christian L. Müller, Ivo F. Sbalzarini
2009	B	`conf`	Particle Swarm CMA Evolution Strategy for the optimization of multi-funnel landscapes. IEEE Congress on Evolutionary Computation Christian L. Müller, Benedikt Baumgartner, Ivo F. Sbalzarini
2009	A	`conf`	pCMALib: a parallel fortran 90 library for the evolution strategy with covariance matrix adaptation. GECCO Christian L. Müller, Benedikt Baumgartner, Georg Ofenbeck, Birte Schrader, Ivo F. Sbalzarini