Fabian J. Theis

Dominik M. Wittmann, Sabrina Hock, Fabian J. Theis: Truth-Content and Phase Transitions of Random Boolean Networks with Generic Logics. SIAM J. Applied Dynamical Systems 12(1): 315-351 (2013)

Florian Buettner, Fabian J. Theis: A novel approach for resolving differences in single-cell gene expression patterns from zygote to blastocyst. Bioinformatics 28(18): 626-632 (2012)

Ann-Kristin Petersen, Jan Krumsiek, Brigitte Wägele, Fabian J. Theis, H.-Erich Wichmann, Christian Gieger, Karsten Suhre: On the hypothesis-free testing of metabolite ratios in genome-wide and metabolome-wide association studies. BMC Bioinformatics 13: 120 (2012)

Harold W. Gutch, Fabian J. Theis: Uniqueness of linear factorizations into independent subspaces. J. Multivariate Analysis 112: 48-62 (2012)

Harold W. Gutch, Peter Gruber, Arie Yeredor, Fabian J. Theis: ICA over finite fields - Separability and algorithms. Signal Processing 92(8): 1796-1808 (2012)

Emmanuel Vincent, Shoko Araki, Fabian J. Theis, Guido Nolte, Pau Bofill, Hiroshi Sawada, Alexey Ozerov, Vikrham Gowreesunker, Dominik Lutter, Ngoc Q. K. Duong: The signal separation evaluation campaign (2007-2010): Achievements and remaining challenges. Signal Processing 92(8): 1928-1936 (2012)

Klaus Nordhausen, Harold W. Gutch, Hannu Oja, Fabian J. Theis: Joint Diagonalization of Several Scatter Matrices for ICA. LVA/ICA 2012: 172-179

Harold W. Gutch, Fabian J. Theis: To Infinity and Beyond: On ICA over Hilbert Spaces. LVA/ICA 2012: 180-187

Sabine Hug, Fabian J. Theis: Bayesian Inference of Latent Causes in Gene Regulatory Dynamics. LVA/ICA 2012: 520-527

Fabian J. Theis: Bayesian Fuzzy Clustering of Colored Graphs. LVA/ICA 2012: 528-535

Fabian J. Theis, Andrzej Cichocki, Arie Yeredor, Michael Zibulevsky (Eds.): Latent Variable Analysis and Signal Separation - 10th International Conference, LVA/ICA 2012, Tel Aviv, Israel, March 12-15, 2012. Proceedings. Lecture Notes in Computer Science 7191, Springer 2012, isbn 978-3-642-28550-9

Hans-Werner Mewes, Andreas Ruepp, Fabian J. Theis, Thomas Rattei, Mathias C. Walter, Dmitrij Frishman, Karsten Suhre, Manuel Spannagl, Klaus F. X. Mayer, Volker Stümpflen, Alexey V. Antonov: MIPS: curated databases and comprehensive secondary data resources in 2010. Nucleic Acids Research 39(Database-Issue): 220-224 (2011)

Fabian J. Theis, Motoaki Kawanabe, Klaus-Robert Müller: Uniqueness of Non-Gaussianity-Based Dimension Reduction. IEEE Transactions on Signal Processing 59(9): 4478-4482 (2011)

Daniel Grady, Rafael Brune, Christian Thiemann, Fabian J. Theis, Dirk Brockmann: Modularity maximization and tree clustering: Novel ways to determine effective geographic borders. CoRR abs/1104.1200 (2011)

Jan Krumsiek, Sebastian Pölsterl, Dominik M. Wittmann, Fabian J. Theis: Odefy -- From discrete to continuous models. BMC Bioinformatics 11: 233 (2010)

Mara L. Hartsperger, Florian Blöchl, Volker Stümpflen, Fabian J. Theis: Structuring heterogeneous biological information using fuzzy clustering of k-partite graphs. BMC Bioinformatics 11: 522 (2010)

Andreas Kowarsch, Florian Blöchl, Sebastian Bohl, Maria Saile, Norbert Gretz, Ursula Klingmüller, Fabian J. Theis: Knowledge-based matrix factorization temporally resolves the cellular responses to IL-6 stimulation. BMC Bioinformatics 11: 585 (2010)

Raimo Franke, Fabian J. Theis, Steffen Klamt: From Binary to Multivalued to Continuous Models: The Lac Operon as a Case Study. J. Integrative Bioinformatics 7(1) (2010)

Carsten Marr, Fabian J. Theis, Larry S. Liebovitch, Marc-Thorsten Hütt: Patterns of Subnet Usage Reveal Distinct Scales of Regulation in the Transcriptional Regulatory Network of Escherichia coli. PLoS Computational Biology 6(7) (2010)

Fabian J. Theis: Colored Subspace Analysis: Dimension Reduction Based on a Signal's Autocorrelation Structure. IEEE Trans. on Circuits and Systems 57-I(7): 1463-1474 (2010)

Anke Meyer-Bäse, Fabian J. Theis: Robust Stability Analysis and Design Under Consideration of Multiple Feedback Loops in the Tryptophan Regulatory Network of E. coli. BIOCOMP 2010: 755-759

Anke Meyer-Bäse, Claudia Plant, Susanne Cappendijk, Fabian J. Theis: Robust Stability Analysis of Multi-Time Scale Genetic Regulatory Networks under Parametric Uncertainties. BIOCOMP 2010: 854-863

Florian Blöchl, Mara L. Hartsperger, Volker Stümpflen, Fabian J. Theis: Uncovering the Structure of Heterogenous Biological Data: Fuzzy Graph Partitioning in the k-partite Setting. GCB 2010: 31-40

Shoko Araki, Alexey Ozerov, Vikrham Gowreesunker, Hiroshi Sawada, Fabian J. Theis, Guido Nolte, Dominik Lutter, Ngoc Q. K. Duong: The 2010 Signal Separation Evaluation Campaign (SiSEC2010): Audio Source Separation. LVA/ICA 2010: 114-122

Shoko Araki, Fabian J. Theis, Guido Nolte, Dominik Lutter, Alexey Ozerov, Vikrham Gowreesunker, Hiroshi Sawada, Ngoc Q. K. Duong: The 2010 Signal Separation Evaluation Campaign (SiSEC2010): Biomedical Source Separation. LVA/ICA 2010: 123-130

Claudia Plant, Fabian J. Theis, Anke Meyer-Bäse, Christian Böhm: Information-Theoretic Model Selection for Independent Components. LVA/ICA 2010: 254-262

Harold W. Gutch, Takanori Maehara, Fabian J. Theis: Second Order Subspace Analysis and Simple Decompositions. LVA/ICA 2010: 370-377

Florian Blöchl, Andreas Kowarsch, Fabian J. Theis: Second-Order Source Separation Based on Prior Knowledge Realized in a Graph Model. LVA/ICA 2010: 434-441

Fabian J. Theis, Nikola S. Müller, Claudia Plant, Christian Böhm: Robust Second-Order Source Separation Identifies Experimental Responses in Biomedical Imaging. LVA/ICA 2010: 466-473

Harold W. Gutch, Peter Gruber, Fabian J. Theis: ICA over Finite Fields. LVA/ICA 2010: 645-652

Peter Gruber, Anke Meyer-Bäse, Simon Y. Foo, Fabian J. Theis: ICA, kernel methods and nonnegativity: New paradigms for dynamical component analysis of fMRI data. Eng. Appl. of AI 22(4-5): 497-504 (2009)

Steffen Klamt, Utz-Uwe Haus, Fabian J. Theis: Hypergraphs and Cellular Networks. PLoS Computational Biology 5(5) (2009)

Dominik M. Wittmann, Florian Blöchl, Dietrich Trümbach, Wolfgang Wurst, Nilima Prakash, Fabian J. Theis: Spatial Analysis of Expression Patterns Predicts Genetic Interactions at the Mid-Hindbrain Boundary. PLoS Computational Biology 5(11) (2009)

Dominik M. Wittmann, Daniel Schmidl, Florian Blöchl, Fabian J. Theis: Reconstruction of graphs based on random walks. Theor. Comput. Sci. 410(38-40): 3826-3838 (2009)

Peter Gruber, Harold W. Gutch, Fabian J. Theis: Hierarchical Extraction of Independent Subspaces of Unknown Dimensions. ICA 2009: 259-266

Fabian J. Theis, Thomas P. Cason, Pierre-Antoine Absil: Soft Dimension Reduction for ICA by Joint Diagonalization on the Stiefel Manifold. ICA 2009: 354-361

Florian Blöchl, Fabian J. Theis: Estimating Hidden Influences in Metabolic and Gene Regulatory Networks. ICA 2009: 387-394

Fabian J. Theis, Richard Neher, Andre Zeug: Blind Decomposition of Spectral Imaging Microscopy: A Study on Artificial and Real Test Data. ICA 2009: 548-556

Reinhard Schachtner, Dominik Lutter, P. Knollmüller, Ana Maria Tomé, Fabian J. Theis, Gerd Schmitz, Martin Stetter, Pedro Gómez Vilda, Elmar Wolfgang Lang: Knowledge-based gene expression classification via matrix factorization. Bioinformatics 24(15): 1688-1697 (2008)

Dominik Lutter, Peter Ugocsai, Margot Grandl, Evelyn Orso, Fabian J. Theis, Elmar Wolfgang Lang, Gerd Schmitz: Analyzing M-CSF dependent monocyte/macrophage differentiation: Expression modes and meta-modes derived from an independent component analysis. BMC Bioinformatics 9 (2008)

Fabian J. Theis, Peter Gruber, Ingo R. Keck, Elmar Wolfgang Lang: A robust model for spatiotemporal dependencies. Neurocomputing 71(10-12): 2209-2216 (2008)

Kurt Stadlthanner, Fabian J. Theis, Elmar Wolfgang Lang, Ana Maria Tomé, Carlos García Puntonet, Juan Manuel Górriz: Hybridizing sparse component analysis with genetic algorithms for microarray analysis. Neurocomputing 71(10-12): 2356-2376 (2008)

Dirk Brockmann, Fabian J. Theis: Money Circulation, Trackable Items, and the Emergence of Universal Human Mobility Patterns. IEEE Pervasive Computing 7(4): 28-35 (2008)

Anke Meyer-Bäse, Fabian J. Theis: Stochastic Stability Analysis of the Heat Shock Response in E. Coli. BIOCOMP 2008: 39-42

Javier Ramírez, Juan Manuel Górriz, Manuel Gómez-Río, A. Romero, Rosa Chaves, A. Lassl, A. Rodríguez, Carlos García Puntonet, Fabian J. Theis, Elmar Wolfgang Lang: Effective Emission Tomography Image Reconstruction Algorithms for SPECT Data. ICCS (1) 2008: 741-748

Pando G. Georgiev, Panos M. Pardalos, Fabian J. Theis: A bilinear algorithm for sparse representations. Comp. Opt. and Appl. 38(2): 249-259 (2007)

Fabian J. Theis, Pando G. Georgiev, Andrzej Cichocki: Robust Sparse Component Analysis Based on a Generalized Hough Transform. EURASIP J. Adv. Sig. Proc. 2007 (2007)

Motoaki Kawanabe, Fabian J. Theis: Joint low-rank approximation for extracting non-Gaussian subspaces. Signal Processing 87(8): 1890-1903 (2007)

Harold W. Gutch, Fabian J. Theis: Independent Subspace Analysis Is Unique, Given Irreducibility. ICA 2007: 49-56

Fabian J. Theis, Motoaki Kawanabe: Colored Subspace Analysis. ICA 2007: 121-128

Cédric Févotte, Fabian J. Theis: Pivot Selection Strategies in Jacobi Joint Block-Diagonalization. ICA 2007: 177-184

Peter Gruber, C. Kohler, Fabian J. Theis: A Toolbox for Model-Free Analysis of fMRI Data. ICA 2007: 209-217

Pando G. Georgiev, Fabian J. Theis, Anca L. Ralescu: Identifiability Conditions and Subspace Clustering in Sparse BSS. ICA 2007: 357-364

Reinhard Schachtner, Dominik Lutter, Fabian J. Theis, Elmar Wolfgang Lang, Ana Maria Tomé, Juan Manuel Górriz Sáez, Carlos García Puntonet: Blind Matrix Decomposition Techniques to Identify Marker Genes from Microarrays. ICA 2007: 649-656

Reinhard Schachtner, Dominik Lutter, Fabian J. Theis, Elmar Wolfgang Lang, Ana Maria Tomé, Gerd Schmitz: Exploiting Blind Matrix Decomposition Techniques to Identify Diagnostic Marker Genes. ICANN (2) 2007: 80-89

Kurt Stadlthanner, Fabian J. Theis, Elmar Wolfgang Lang, Ana Maria Tomé, Carlos García Puntonet: Blind Matrix Decomposition Via Genetic Optimization of Sparseness and Nonnegativity Constraints. ICANN (1) 2007: 799-808

J. Michael Herrmann, Fabian J. Theis: Statistical Analysis of Sample-Size Effects in ICA. IDEAL 2007: 416-425

Kurt Stadlthanner, Dominik Lutter, Fabian J. Theis, Elmar Wolfgang Lang, Ana Maria Tomé, Petia Georgieva, Carlos García Puntonet: Sparse Nonnegative Matrix Factorization with Genetic Algorithms for Microarray Analysis. IJCNN 2007: 294-299

Anke Meyer-Bäse, Peter Gruber, Fabian J. Theis, Simon Y. Foo: Blind source separation based on self-organizing neural network. Eng. Appl. of AI 19(3): 305-311 (2006)

Kurt Stadlthanner, Ana Maria Tomé, Fabian J. Theis, Elmar Wolfgang Lang, Wolfram Gronwald, Hans Robert Kalbitzer: Separation of water artifacts in 2D NOESY protein spectra using congruent matrix pencils. Neurocomputing 69(4-6): 497-522 (2006)

Peter Gruber, Kurt Stadlthanner, Matthias Böhm, Fabian J. Theis, Elmar Wolfgang Lang, Ana Maria Tomé, Ana R. Teixeira, Carlos García Puntonet, Juan Manuel Górriz Sáez: Denoising using local projective subspace methods. Neurocomputing 69(13-15): 1485-1501 (2006)

Fabian J. Theis, Gonzalo A. García: On the use of sparse signal decomposition in the analysis of multi-channel surface electromyograms. Signal Processing 86(3): 603-623 (2006)

Matthias Böhm, Kurt Stadlthanner, Peter Gruber, Fabian J. Theis, Elmar Wolfgang Lang, Ana Maria Tomé, Ana R. Teixeira, Wolfram Gronwald, Hans Robert Kalbitzer: On the use of simulated annealing to automatically assign decorrelated components in second-order blind source separation. IEEE Trans. Biomed. Engineering 53(5): 810-820 (2006)

Motoaki Kawanabe, Fabian J. Theis: Estimating Non-Gaussian Subspaces by Characteristic Functions. ICA 2006: 157-164

Kurt Stadlthanner, Fabian J. Theis, Elmar Wolfgang Lang, Ana Maria Tomé, Carlos García Puntonet, Pedro Gómez Vilda, Thomas Langmann, Gerd Schmitz: Sparse Nonnegative Matrix Factorization Applied to Microarray Data Sets. ICA 2006: 254-261

Fabian J. Theis, Motoaki Kawanabe: Uniqueness of Non-Gaussian Subspace Analysis. ICA 2006: 917-925

Toshihisa Tanaka, Yumi Murakami, Fabian J. Theis: A Fast Predictive Lossless Coder for fMRI Data Sets. ICIP 2006: 2529-2532

Ingo R. Keck, Jan Churan, Fabian J. Theis, Peter Gruber, Elmar Wolfgang Lang, Carlos García Puntonet: Region of Interest Based Independent Component Analysis. ICONIP (1) 2006: 1048-1057

Anke Meyer-Bäse, Vera Thümmler, Fabian J. Theis: Stability Analysis of an Unsupervised Competitive Neural Network. IJCNN 2006: 1025-1028

Stefano Squartini, Francesco Piazza, Fabian J. Theis: New Riemannian metrics for speeding-up the convergence of over- and underdetermined ICA. ISCAS 2006

Fabian J. Theis, Yujiro Inouye: On the use of joint diagonalization in blind signal processing. ISCAS 2006

Fabian J. Theis: Towards a general independent subspace analysis. NIPS 2006: 1361-1368

Fabian J. Theis, Peter Gruber: On model identifiability in analytic postnonlinear ICA. Neurocomputing 64: 223-234 (2005)

Pando G. Georgiev, Fabian J. Theis, Andrzej Cichocki: Sparse component analysis and blind source separation of underdetermined mixtures. IEEE Transactions on Neural Networks 16(4): 992-996 (2005)

Matthias Böhm, Kurt Stadlthanner, Ana Maria Tomé, Peter Gruber, Ana R. Teixeira, Fabian J. Theis, Carlos García Puntonet, Elmar Wolfgang Lang: AutoAssign - An Automatic Assignment Tool for Independent Components. IbPRIA (2) 2005: 75-82

Juan Manuel Górriz Sáez, Javier Ramírez, Carlos García Puntonet, Fabian J. Theis, Elmar Wolfgang Lang: Bispectrum-Based Statistical Tests for VAD. ICANN (2) 2005: 541-546

Fabian J. Theis, Peter Gruber, Ingo R. Keck, Elmar Wolfgang Lang: Functional MRI Analysis by a Novel Spatiotemporal ICA Algorithm. ICANN (1) 2005: 677-682

Fabian J. Theis, Toshihisa Tanaka: A Fast and Efficient Method for Compressing fMRI Data Sets. ICANN (2) 2005: 769-777

Fabian J. Theis: Blind signal separation into groups of dependent signals using joint block diagonalization. ISCAS (6) 2005: 5878-5881

Kurt Stadlthanner, Fabian J. Theis, Carlos García Puntonet, Juan Manuel Górriz, Ana Maria Tomé, Elmar Wolfgang Lang: Hybridizing Sparse Component Analysis with Genetic Algorithms for Blind Source Separation. ISBMDA 2005: 137-148

Kurt Stadlthanner, Fabian J. Theis, Carlos García Puntonet, Elmar Wolfgang Lang: Extended Sparse Nonnegative Matrix Factorization. IWANN 2005: 249-256

Matthias Böhm, Kurt Stadlthanner, Elmar Wolfgang Lang, Ana Maria Tomé, Ana R. Teixeira, Fabian J. Theis, Carlos García Puntonet: A Hybridization of Simulated Annealing and Local PCA for Automatic Component Assignment Within ICA. IWANN 2005: 1075-1082

Andreas Krause, Dominik Hartl, Fabian J. Theis, Manfred Stangl, Klaus-E. Gerauer, Alexander T. Mehlhorn: Mobile decision support for transplantation patient data. I. J. Medical Informatics 73(5): 461-464 (2004)

Fabian J. Theis, Elmar Wolfgang Lang, Carlos García Puntonet: A geometric algorithm for overcomplete linear ICA. Neurocomputing 56: 381-398 (2004)

Fabian J. Theis: A New Concept for Separability Problems in Blind Source Separation. Neural Computation 16(9): 1827-1850 (2004)

Fabian J. Theis: Uniqueness of complex and multidimensional independent component analysis. Signal Processing 84(5): 951-956 (2004)

Fabian J. Theis, Elmar Wolfgang Lang: Linearization identification and an application to BSS using a SOM. ESANN 2004: 205-210

Fabian J. Theis, Peter Gruber: Separability of analytic postnonlinear blind source separation with bounded sources. ESANN 2004: 217-222

Fabian J. Theis, Pando G. Georgiev, Andrzej Cichocki: Robust overcomplete matrix recovery for sparse sources using a generalized Hough transform. ESANN 2004: 343-348

Pando G. Georgiev, Fabian J. Theis: Blind Source Separation of Linear Mixtures with Singular Matrices. ICA 2004: 121-128

Fabian J. Theis, Shun-ichi Amari: Postnonlinear Overcomplete Blind Source Separation Using Sparse Sources. ICA 2004: 718-725

Fabian J. Theis, Anke Meyer-Bäse, Elmar Wolfgang Lang: Second-Order Blind Source Separation Based on Multi-dimensional Autocovariances. ICA 2004: 726-733

Anke Meyer-Bäse, Fabian J. Theis, Oliver Lange, Carlos García Puntonet: Tree-Dependent and Topographic Independent Component Analysis for fMRI Analysis. ICA 2004: 782-789

Ingo R. Keck, Fabian J. Theis, Peter Gruber, Elmar Wolfgang Lang, Karsten Specht, Carlos García Puntonet: 3D Spatial Analysis of fMRI Data on a Word Perception Task. ICA 2004: 977-984

Peter Gruber, Kurt Stadlthanner, Ana Maria Tomé, Ana R. Teixeira, Fabian J. Theis, Carlos García Puntonet, Elmar Wolfgang Lang: Denoising Using Local ICA and a Generalized Eigendecomposition with Time-Delayed Signals. ICA 2004: 993-1000

Fabian J. Theis: Geometric source separation: algorithms and applications. Granada, Univ. 2003, isbn 3-8322-2388-6, pp. 1-189

Fabian J. Theis, Andreas Jung, Carlos García Puntonet, Elmar Wolfgang Lang: Linear Geometric ICA: Fundamentals and Algorithms. Neural Computation 15(2): 419-439 (2003)

Fabian J. Theis, Carlos García Puntonet, Elmar Wolfgang Lang: An Improved Geometric Overcomplete Blind Source Separation Algorithm. IWANN (2) 2003: 265-272

Kurt Stadlthanner, Ana Maria Tomé, Fabian J. Theis, Elmar Wolfgang Lang: A Generalized Eigendecomposition Approach Using Matrix Pencils to Remove Artefacts from 2D NMR Spectra. IWANN (2) 2003: 575-582

Fabian J. Theis, Carlos García Puntonet, Elmar Wolfgang Lang: Generalizing Geometric ICA to Nonlinear Settings. IWANN (2) 2003: 687-694

Fabian J. Theis, Manuel Rodríguez Álvarez, Carlos García Puntonet, Elmar Wolfgang Lang: An Adaptive Approach to Blind Source Separation Using a Self-Organzing Map and a Neural Gas. IWANN (2) 2003: 695-702

Fabian J. Theis, Christoph Bauer, Elmar Wolfgang Lang: Comparison of maximum entropy and minimal mutual information in a nonlinear setting. Signal Processing 82(7): 971-980 (2002)

Fabian J. Theis, Elmar Wolfgang Lang: How to generalize geometric ICA to higher dimensions. ESANN 2002: 205-210

Fabian J. Theis, Elmar Wolfgang Lang: Geometric overcomplete ICA. ESANN 2002: 217-222

Fabian J. Theis, Elmar Wolfgang Lang, Tobias Westenhuber, Carlos García Puntonet: Overcomplete ICA with a Geometric Algorithm. ICANN 2002: 1049-1054

Fabian J. Theis, Christoph Bauer, Carlos García Puntonet, Elmar Wolfgang Lang: Pattern Repulsion Revisited. IWANN (2) 2001: 778-785