Christian L. Müller
Orcid: 0000-0002-3821-7083Affiliations:
- LMU Munich, Germany
- New York University, Center for Genomics and Systems Biology, USA (former)
- ETH Zurich, Institute of Theoretical Computer Science, Switzerland (former)
According to our database1,
Christian L. Müller
authored at least 36 papers
between 2009 and 2023.
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Bibliography
2023
Over-optimism in unsupervised microbiome analysis: Insights from network learning and clustering.
PLoS Comput. Biol., January, 2023
deepregression: A Flexible Neural Network Framework for Semi-Structured Deep Distributional Regression.
J. Stat. Softw., 2023
Smoothing the Edges: A General Framework for Smooth Optimization in Sparse Regularization using Hadamard Overparametrization.
CoRR, 2023
2022
A randomization-based causal inference framework for uncovering environmental exposure effects on human gut microbiota.
PLoS Comput. Biol., 2022
Inverse Dirichlet weighting enables reliable training of physics informed neural networks.
Mach. Learn. Sci. Technol., 2022
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2022
2021
c-lasso - a Python package for constrained sparse and robust regression and classification.
J. Open Source Softw., 2021
J. Open Source Softw., 2021
Objective hearing threshold identification from auditory brainstem response measurements using supervised and self-supervised approaches.
CoRR, 2021
deepregression: a Flexible Neural Network Framework for Semi-Structured Deep Distributional Regression.
CoRR, 2021
STENCIL-NET: Data-driven solution-adaptive discretization of partial differential equations.
CoRR, 2021
Briefings Bioinform., 2021
2020
CoRR, 2020
2019
Stability selection enables robust learning of partial differential equations from limited noisy data.
CoRR, 2019
2018
Temporal probabilistic modeling of bacterial compositions derived from 16S rRNA sequencing.
Bioinform., 2018
2017
Identifying direct contacts between protein complex subunits from their conditional dependence in proteomics datasets.
PLoS Comput. Biol., 2017
2016
4C-ker: A Method to Reproducibly Identify Genome-Wide Interactions Captured by 4C-Seq Experiments.
PLoS Comput. Biol., 2016
PLoS Comput. Biol., 2016
CoRR, 2016
2015
PLoS Comput. Biol., 2015
Don't Fall for Tuning Parameters: Tuning-Free Variable Selection in High Dimensions With the TREX.
Proceedings of the Twenty-Ninth AAAI Conference on Artificial Intelligence, 2015
2013
2012
Evol. Comput., 2012
On Spectral Invariance of Randomized Hessian and Covariance Matrix Adaptation Schemes.
Proceedings of the Parallel Problem Solving from Nature - PPSN XII, 2012
2011
Global parameter identification of stochastic reaction networks from single trajectories
CoRR, 2011
Global Characterization of the CEC 2005 Fitness Landscapes Using Fitness-Distance Analysis.
Proceedings of the Applications of Evolutionary Computation, 2011
2010
Proceedings of the Applications of Evolutionary Computation, 2010
Exploring the common concepts of adaptive MCMC and Covariance Matrix Adaptation schemes.
Proceedings of the Theory of Evolutionary Algorithms, 05.09. - 10.09.2010, 2010
Gaussian Adaptation as a unifying framework for continuous black-box optimization and adaptive Monte Carlo sampling.
Proceedings of the IEEE Congress on Evolutionary Computation, 2010
2009
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.
Proceedings of the IJCCI 2009, 2009
pCMALib: a parallel fortran 90 library for the evolution strategy with covariance matrix adaptation.
Proceedings of the Genetic and Evolutionary Computation Conference, 2009
Particle Swarm CMA Evolution Strategy for the optimization of multi-funnel landscapes.
Proceedings of the IEEE Congress on Evolutionary Computation, 2009