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Author Details

Klaus-Robert M??ller
Google Research
1996
235
66
PMIDPaper TitleJournal TitlePublished Year
36423312Joint Learning of Full-Structure Noise in Hierarchical Bayesian Regression Models.IEEE Trans Med Imaging2024
35797317From Clustering to Cluster Explanations via Neural Networks.IEEE Trans Neural Netw Learn Syst2024
37228169Canonical Response Parameterization: Quantifying the structure of responses to single-pulse intracranial electrical brain stimulation.PLoS Comput Biol2023
37660672Learning domain invariant representations by joint Wasserstein distance minimization.Neural Netw2023
37236554Novel multivariate methods to track frequency shifts of neural oscillations in EEG/MEG recordings.Neuroimage2023
32870784Building and Interpreting Deep Similarity Models.IEEE Trans Pattern Anal Mach Intell2022
35768400BIGDML-Towards accurate quantum machine learning force fields for materials.Nat Commun2022
35611184Scrutinizing XAI using linear ground-truth data with suppressor variables.Mach Learn2022
359376792020 International brain-computer interface competition: A review.Front Hum Neurosci2022
35882272Towards the interpretability of deep learning models for multi-modal neuroimaging: Finding structural changes of the ageing brain.Neuroimage2022
33631297Artificial intelligence and pathology: From principles to practice and future applications in histomorphology and molecular profiling.Semin Cancer Biol2022
35247548Harmoni: A method for eliminating spurious interactions due to the harmonic components in neuronal data.Neuroimage2022
32833654Clustered Federated Learning: Model-Agnostic Distributed Multitask Optimization Under Privacy Constraints.IEEE Trans Neural Netw Learn Syst2021
33705118Machine Learning Force Fields.Chem Rev2021
33863725Leaf-inspired homeostatic cellulose biosensors.Sci Adv2021
34907176SpookyNet: Learning force fields with electronic degrees of freedom and nonlocal effects.Nat Commun2021
34473701Basis profile curve identification to understand electrical stimulation effects in human brain networks.PLoS Comput Biol2021
34182100Unification of sparse Bayesian learning algorithms for electromagnetic brain imaging with the majorization minimization framework.Neuroimage2021
34296082DeepCOMBI: explainable artificial intelligence for the analysis and discovery in genome-wide association studies.NAR Genom Bioinform2021
33469007Dynamical strengthening of covalent and non-covalent molecular interactions by nuclear quantum effects at finite temperature.Nat Commun2021
31150347Compact and Computationally Efficient Representation of Deep Neural Networks.IEEE Trans Neural Netw Learn Syst2020
33687259Ensemble learning of coarse-grained molecular dynamics force fields with a kernel approach.J Chem Phys2020
32027668Features spaces and a learning system for structural-temporal data, and their application on a use case of real-time communication network validation data.PLoS One2020
31870944Improved physiological noise regression in fNIRS: A multimodal extension of the General Linear Model using temporally embedded Canonical Correlation Analysis.Neuroimage2020
31689214Robust and Communication-Efficient Federated Learning From Non-i.i.d. Data.IEEE Trans Neural Netw Learn Syst2020
32092281Machine Learning for Molecular Simulation.Annu Rev Phys Chem2020
33390877Sensorimotor Functional Connectivity: A Neurophysiological Factor Related to BCI Performance.Front Neurosci2020
33067479Quantum chemical accuracy from density functional approximations via machine learning.Nat Commun2020
33003761Molecular force fields with gradient-domain machine learning (GDML): Comparison and synergies with classical force fields.J Chem Phys2020
32917594Autonomous robotic nanofabrication with reinforcement learning.Sci Adv2020
32804653Enhanced Performance of a Brain Switch by Simultaneous Use of EEG and NIRS Data for Asynchronous Brain-Computer Interface.IEEE Trans Neural Syst Rehabil Eng2020
32168605Asymptotically unbiased estimation of physical observables with neural samplers.Phys Rev E2020
32286358Resolving challenges in deep learning-based analyses of histopathological images using explanation methods.Sci Rep2020
31494564Optimizing for Measure of Performance in Max-Margin Parsing.IEEE Trans Neural Netw Learn Syst2020
30481453SchNetPack: A Deep Learning Toolbox For Atomistic Systems.J Chem Theory Comput2019
31729373Unifying machine learning and quantum chemistry with a deep neural network for molecular wavefunctions.Nat Commun2019
31920491Analyzing Neuroimaging Data Through Recurrent Deep Learning Models.Front Neurosci2019
31889137Using transfer learning from prior reference knowledge to improve the clustering of single-cell RNA-Seq data.Sci Rep2019
31947219Rotation Invariant Clustering of 3D Cell Nuclei Shapes<sup>.</sup>Annu Int Conf IEEE Eng Med Biol Soc2019
31302256Canonical maximization of coherence: A novel tool for investigation of neuronal interactions between two datasets.Neuroimage2019
31203024A new blind source separation framework for signal analysis and artifact rejection in functional Near-Infrared Spectroscopy.Neuroimage2019
31511427Machine learning analysis of DNA methylation profiles distinguishes primary lung squamous cell carcinomas from head and neck metastases.Sci Transl Med2019
31158476Enhancing sensorimotor BCI performance with assistive afferent activity: An online evaluation.Neuroimage2019
30830911Automating the search for a patent's prior art with a full text similarity search.PLoS One2019
30858366Unmasking Clever Hans predictors and assessing what machines really learn.Nat Commun2019
30787319Explaining the unique nature of individual gait patterns with deep learning.Sci Rep2019
30901990Molecular force fields with gradient-domain machine learning: Construction and application to dynamics of small molecules with coupled cluster forces.J Chem Phys2019
30682025A large scale screening study with a SMR-based BCI: Categorization of BCI users and differences in their SMR activity.PLoS One2019
28809703Motion-Based Rapid Serial Visual Presentation for Gaze-Independent Brain-Computer Interfaces.IEEE Trans Neural Syst Rehabil Eng2018
29990622Scoring of tumor-infiltrating lymphocytes: From visual estimation to machine learning.Semin Cancer Biol2018
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Collaborators

Michael Tangermann
University of Freiburg
Co-authored papers 13
Gunnar R??tsch
ETH Zurich
Co-authored papers 7
Frederick Klauschen
Institute of Pathology, Ludwig-Maximilians-Universitat Munchen
Co-authored papers 6
Bernhard Sch??lkopf
Max-Planck Institute for Intelligent Systems.
Co-authored papers 5
Kai J Miller
Mayo Clinic
Co-authored papers 4
Lucas C Parra
The City College of New York
Co-authored papers 4
Michael Bockmayr
Institute of Pathology, Charite Universitatsmedizin Berlin
Co-authored papers 4
Dora Hermes
Mayo Clinic
Co-authored papers 3
Gerwin Schalk
Mayo Clinic
Co-authored papers 3
Shun-Ichi Amari
Co-authored papers 3
Philipp Jurmeister
Institute of Pathology, Ludwig-Maximilians-Universitat Munchen
Co-authored papers 2
Anderson W Chuck
Colorado State University
Co-authored papers 2
Franziska Horn
Technische Universitat Berlin
Co-authored papers 2
Gernot R M??ller-Putz
Institute of Neural Engineering, Graz University of Technology
Co-authored papers 2
David Capper
Charite University Medicine Berlin
Co-authored papers 2
Cecilia Clementi
Co-authored papers 2
Vince D Calhoun
Georgia Institute of Technology, Emory University
Co-authored papers 1
Farhad Hormozdiari
Co-authored papers 1
Gregg H Recanzone
Center for Neuroscience, University of California davis
Co-authored papers 1
Brett L Foster
Perelman School of Medicine, University of Pennsylvania
Co-authored papers 1
Susanne Walitza
Co-authored papers 1
Katherine Brown
Co-authored papers 1
David A Boas
Boston University
Co-authored papers 1
Peter M van Dam
University Medical Center Utrecht
Co-authored papers 1
Robert Oostenveld
Donders Institute for Brain, Radboud University Nijmegen
Co-authored papers 1
Christine M Freitag
Co-authored papers 1
David L Rimm
Yale University School of Medicine
Co-authored papers 1
William F Symmans
Co-authored papers 1
Jean-Philippe Lachaux
Institut National de la Sante et de la Recherche Medicale (INSERM)
Co-authored papers 1
William J Jagust
Helen Wills Neuroscience Institute, University of California Berkeley
Co-authored papers 1
Release 1.2