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Bibliography

Publications of the year

Articles in International Peer-Reviewed Journals

  • 1A. Abraham, M. Milham, A. Di Martino, R. C. Craddock, D. Samaras, B. Thirion, G. Varoquaux.

    Deriving reproducible biomarkers from multi-site resting-state data: An Autism-based example, in: NeuroImage, November 2016. [ DOI : 10.1016/j.neuroimage.2016.10.045 ]

    https://hal.inria.fr/hal-01398867
  • 2M. Albughdadi, L. Chaari, J.-Y. Tourneret, F. Forbes, P. Ciuciu.

    A Bayesian Non-Parametric Hidden Markov Random Model for Hemodynamic Brain Parcellation, in: Signal Processing, 2017. [ DOI : 10.1016/j.sigpro.2017.01.005 ]

    https://hal.archives-ouvertes.fr/hal-01426385
  • 3V. Borghesani, F. Pedregosa, M. Buiatti, A. Amadon, E. Eger, M. Piazza.

    Word meaning in the ventral visual path: a perceptual to conceptual gradient of semantic coding, in: NeuroImage, September 2016. [ DOI : 10.1016/j.neuroimage.2016.08.068 ]

    http://hal.upmc.fr/hal-01372551
  • 4C. Boyer, N. Chauffert, P. Ciuciu, J. Kahn, P. Weiss.

    On the generation of sampling schemes for Magnetic Resonance Imaging, in: SIAM Journal on Imaging Sciences, December 2016, vol. 9, no 4, pp. 2039-20972.

    https://hal.archives-ouvertes.fr/hal-01373758
  • 5D. Bzdok, G. Hartwigsen, A. Reid, A. R. Laird, P. T. Fox, S. Eickhoff.

    Left inferior parietal lobe engagement in social cognition and language, in: Neuroscience and Biobehavioral Reviews, April 2016. [ DOI : 10.1016/j.neubiorev.2016.02.024 ]

    https://hal.archives-ouvertes.fr/hal-01350512
  • 6D. Bzdok, G. Varoquaux, O. Grisel, M. Eickenberg, C. Poupon, B. Thirion.

    Formal Models of the Network Co-occurrence Underlying Mental Operations, in: PLoS Computational Biology, June 2016. [ DOI : 10.1371/journal.pcbi.1004994 ]

    https://hal.archives-ouvertes.fr/hal-01338307
  • 7D. Bzdok, G. Varoquaux, B. Thirion.

    Neuroimaging Research: From Null-Hypothesis Falsification to Out-of-sample Generalization, in: Educational and Psychological Measurement, August 2016.

    https://hal.archives-ouvertes.fr/hal-01338313
  • 8N. Chauffert, P. Ciuciu, J. Kahn, P. Weiss.

    A Projection Method on Measures Sets, in: Constructive Approximation, February 2017, vol. 45, no 1, pp. 83 - 111. [ DOI : 10.1007/s00365-016-9346-2 ]

    https://hal.inria.fr/hal-01432720
  • 9N. Chauffert, P. Weiss, J. Kahn, P. Ciuciu.

    A projection algorithm for gradient waveforms design in Magnetic Resonance Imaging, in: IEEE Transactions on Medical Imaging, 2016. [ DOI : 10.1109/TMI.2016.2544251 ]

    https://hal.inria.fr/hal-01317939
  • 10M. Eickenberg, A. Gramfort, G. Varoquaux, B. Thirion.

    Seeing it all: Convolutional network layers map the function of the human visual system, in: NeuroImage, 2016. [ DOI : 10.1016/j.neuroimage.2016.10.001 ]

    https://hal.inria.fr/hal-01389809
  • 11S. Eickhoff, B. Thirion, G. Varoquaux, D. Bzdok.

    Connectivity-Based Parcellation: Critique and Implications, in: Human Brain Mapping, January 2016, 22 p. [ DOI : 10.1002/hbm.22933 ]

    https://hal.archives-ouvertes.fr/hal-01184563
  • 12K. J. Gorgolewski, T. Auer, V. D. Calhoun, C. R. Craddock, S. Das, E. P. Duff, G. Flandin, S. S. Ghosh, T. Glatard, Y. O. Halchenko, D. A. Handwerker, M. Hanke, D. Keator, X. Li, Z. Michael, C. Maumet, N. B. Nichols, T. E. Nichols, J. Pellman, J.-B. Poline, A. Rokem, G. Schaefer, V. Sochat, W. Triplett, J. A. Turner, G. Varoquaux, R. A. Poldrack.

    The brain imaging data structure, a format for organizing and describing outputs of neuroimaging experiments, in: Scientific Data , June 2016, vol. 3, 160044. [ DOI : 10.1038/sdata.2016.44 ]

    http://www.hal.inserm.fr/inserm-01345616
  • 13A. Hoyos-Idrobo, G. Varoquaux, J. Kahn, B. Thirion.

    Recursive nearest agglomeration (ReNA): fast clustering for approximation of structured signals, in: IEEE Transactions on Pattern Analysis and Machine Intelligence, August 2016.

    https://hal.inria.fr/hal-01366651
  • 14F. Liem, G. Varoquaux, J. Kynast, F. Beyer, S. K. Masouleh, J. M. Huntenburg, L. Lampe, M. Rahim, A. Abraham, R. C. Craddock, S. Riedel-Heller, T. Luck, M. Loeffler, M. L. Schroeter, A. V. Witte, D. S. Margulies.

    Predicting brain-age from multimodal imaging data captures cognitive impairment, in: NeuroImage, November 2016. [ DOI : 10.1016/j.neuroimage.2016.11.005 ]

    https://hal.inria.fr/hal-01403005
  • 15M. Rahim, B. Thirion, C. Comtat, G. Varoquaux.

    Transmodal Learning of Functional Networks for Alzheimer's Disease Prediction, in: IEEE Journal of Selected Topics in Signal Processing, October 2016, vol. 10, no 7, pp. 1204 - 1213. [ DOI : 10.1109/JSTSP.2016.2600400 ]

    https://hal.inria.fr/hal-01353728
  • 16G. Varoquaux, P. A. Reddy Raamana, D. A. Engemann, A. A. Hoyos-Idrobo, Y. A. Schwartz, B. A. Thirion.

    Assessing and tuning brain decoders: cross-validation, caveats, and guidelines, in: NeuroImage, 2016. [ DOI : 10.1016/j.neuroimage.2016.10.038 ]

    https://hal.archives-ouvertes.fr/hal-01332785

Invited Conferences

  • 17E. Dohmatob.

    A simple algorithm for computing Nash-equilibria in incomplete information games, in: OPT2016 – NIPS workshop on optimization for machine learning, Barcelona, Spain, December 2016.

    https://hal.inria.fr/hal-01384460
  • 18E. Dohmatob, M. Eickenberg, B. Thirion, G. Varoquaux.

    Local Q-Linear Convergence and Finite-time Active Set Identification of ADMM on a Class of Penalized Regression Problems, in: ICASSP, International Conference on Acoustics, Speach, and Signal Processing, China, March 2016, http://icassp2016.org/default.asp.

    https://hal.archives-ouvertes.fr/hal-01265372
  • 19E. Dohmatob, A. Mensch, G. Varoquaux, B. Thirion.

    Learning brain regions via large-scale online structured sparse dictionary-learning, in: Neural Information Processing Systems (NIPS), Barcelona, Spain, December 2016.

    https://hal.inria.fr/hal-01369134

International Conferences with Proceedings

  • 20M. Albughdadi, L. Chaari, F. Forbes, J.-Y. Tourneret, P. Ciuciu.

    Multi-subject joint parcellation detection estimation in functional MRI, in: 13th IEEE International Symposium on Biomedical Imaging, Prague, Czech Republic, April 2016.

    https://hal.inria.fr/hal-01261982
  • 21E. Belilovsky, G. Varoquaux, M. B. Blaschko.

    Testing for Differences in Gaussian Graphical Models: Applications to Brain Connectivity, in: Neural Information Processing Systems (NIPS) 2016, Barcelona, Spain, December 2016.

    https://hal.inria.fr/hal-01248844
  • 22A. Mensch, J. Mairal, B. Thirion, G. Varoquaux.

    Dictionary Learning for Massive Matrix Factorization, in: International Conference on Machine Learning, New York, United States, Proceedings of the 33rd Internation Conference on Machine Learning, June 2016, vol. 48, pp. 1737–1746.

    https://hal.archives-ouvertes.fr/hal-01308934
  • 23H. Pellé, P. Ciuciu, M. Rahim, E. Dohmatob, P. Abry, V. Van Wassenhove.

    Multivariate Hurst Exponent Estimation in FMRI. Application to Brain Decoding of Perceptual Learning, in: 13th IEEE International Symposium on Biomedical Imaging, Prague, Czech Republic, April 2016.

    https://hal.inria.fr/hal-01261976
  • 24M. Rahim, P. Ciuciu, S. Bougacha.

    Impact of perceptual learning on resting-state fMRI connectivity: A supervised classification study, in: Eusipco 2016, Budapest, Hungary, August 2016.

    https://hal.inria.fr/hal-01355478

Conferences without Proceedings

  • 25Y. Bekhti, D. Strohmeier, M. Jas, R. Badeau, A. Gramfort.

    M/EEG source localization with multi-scale time-frequency dictionaries, in: 6th International Workshop on Pattern Recognition in Neuroimaging (PRNI), Trento, Italy, June 2016. [ DOI : 10.1109/PRNI.2016.7552337 ]

    https://hal.archives-ouvertes.fr/hal-01313567
  • 26K. Dadi, A. Abraham, M. Rahim, B. Thirion, G. Varoquaux.

    Comparing functional connectivity based predictive models across datasets, in: PRNI 2016: 6th International Workshop on Pattern Recognition in Neuroimaging, Trento, Italy, June 2016.

    https://hal.inria.fr/hal-01319131
  • 27A. Hoyos-Idrobo, G. Varoquaux, B. Thirion.

    Fast brain decoding with random sampling and random projections, in: PRNI 2016: the 6th International Workshop on Pattern Recognition in Neuroimaging, Trento, Italy, June 2016.

    https://hal.inria.fr/hal-01313814
  • 28C. Laroche, H. Papadopoulos, M. Kowalski, G. Richard.

    Genre specific dictionaries for harmonic/percussive source separation, in: ISMIR The 17th International Society for Music Information Retrieval Conference, New York, United States, August 2016.

    https://hal.archives-ouvertes.fr/hal-01353252
  • 29C. Laroche, H. Papadopoulos, M. Kowalski, G. Richard.

    Drum extraction in single channel audio signals using multi-layer non negative matrix factor deconvolution, in: ICASSP, Nouvelle Orleans, United States, March 2017.

    https://hal.archives-ouvertes.fr/hal-01438851
  • 30A. Mensch, J. Mairal, G. Varoquaux, B. Thirion.

    Subsampled online matrix factorization with convergence guarantees, in: NIPS Workshop on Optimization for Machine Learning, Barcelone, Spain, December 2016.

    https://hal.archives-ouvertes.fr/hal-01405058
  • 31A. Mensch, G. Varoquaux, B. Thirion.

    Compressed Online Dictionary Learning for Fast Resting-State fMRI Decomposition, in: International Symposium on Biomedical Imaging (ISBI 2016) "From Nano to Macro", Prague, Czech Republic, 13th International Symposium on Biomedical Imaging (ISBI), IEEE, April 2016, pp. 1282-1285. [ DOI : 10.1109/ISBI.2016.7493501 ]

    https://hal.archives-ouvertes.fr/hal-01271033
  • 32G. Varoquaux, M. Kowalski, B. Thirion.

    Social-sparsity brain decoders: faster spatial sparsity, in: Pattern Recognition in NeuroImaging, Trento, Italy, June 2016.

    https://hal.archives-ouvertes.fr/hal-01334551

Scientific Books (or Scientific Book chapters)

  • 33B. Thirion.

    Functional Neuroimaging Group Studies, in: Handbook of Neuroimaging Data Analysis, H. Ombao, M. Lindquist, W. Thompson, J. Aston (editors), Handbook of Modern Statistical methods, Chapman & Hall / CRC, November 2016.

    https://hal.inria.fr/hal-01419347

Other Publications

  • 34M. Albughdadi, L. Chaari, J.-Y. Tourneret, F. Forbes, P. Ciuciu.

    Hemodynamic Brain Parcellation Using A Non-Parametric Bayesian Approach, February 2016, working paper or preprint.

    https://hal.inria.fr/hal-01275622
  • 35E. Belilovsky, K. Kastner, G. Varoquaux, M. Blaschko.

    Learning to Discover Graphical Model Structures, May 2016, working paper or preprint.

    https://hal.inria.fr/hal-01306491
  • 36D. Bzdok, B. T. Yeo.

    The Future of Data Analysis in the Neurosciences, August 2016, working paper or preprint.

    https://hal.archives-ouvertes.fr/hal-01356923
  • 37L. Chaari, S. Badillo, T. Vincent, G. Dehaene-Lambertz, F. Forbes, P. Ciuciu.

    Subject-level Joint Parcellation-Detection-Estimation in fMRI, January 2016, working paper or preprint.

    https://hal.inria.fr/hal-01255465
  • 38F. Feng, M. Kowalski.

    A Unified Approach for Over and Under-Determined Blind Source Separation Based on Both Sparsity and Decorrelation, April 2016, working paper or preprint.

    https://hal.archives-ouvertes.fr/hal-01297471
  • 39F. Hadj-Selem, T. Löfstedt, E. Dohmatob, V. Frouin, M. Dubois, V. Guillemot, E. Duchesnay.

    Supplementary materials: Iterative Smoothing Proximal Gradient for Regression with Structured Sparsity, May 2016, working paper or preprint.

    https://hal-cea.archives-ouvertes.fr/cea-01324021
  • 40M. Kowalski, A. Meynard, H.-t. Wu.

    Convex Optimization approach to signals with fast varying instantaneous frequency, April 2016, working paper or preprint.

    https://hal.archives-ouvertes.fr/hal-01199615
  • 41C. Lazarus, N. Chauffert, J. Kahn, P. Weiss, A. Vignaud, P. Ciuciu.

    Physically plausible K-space trajectories for Compressed Sensing in MRI: From simulations to real acquisitions, March 2016, CEA Visiting committee on High Performance Computing, Poster.

    https://hal.inria.fr/hal-01296496
  • 42A. Mensch, J. Mairal, B. Thirion, G. Varoquaux.

    Stochastic Subsampling for Factorizing Huge Matrices, January 2017, working paper or preprint.

    https://hal.archives-ouvertes.fr/hal-01431618
  • 43M. Rahim, P. Ciuciu, S. Bougacha.

    Functional connectivity outperforms scale-free brain dynamics as fMRI predictive feature of perceptual learning underwent in MEG, February 2016, working paper or preprint.

    https://hal.inria.fr/hal-01297845


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