Bibliography

Major publications by the team in recent years

• 1F. Bimbot, E. Deruty, G. Sargent, E. Vincent.
  
  System & Contrast : A Polymorphous Model of the Inner Organization of Structural Segments within Music Pieces, in: Music Perception, 2016, 41 p, To appear - http://mp.ucpress.edu/.
  
  https://hal.inria.fr/hal-01188244
• 2N. Duong, E. Vincent, R. Gribonval.
  
  Under-determined reverberant audio source separation using a full-rank spatial covariance model, in: IEEE Transactions on Audio, Speech and Language Processing, July 2010, vol. 18, n^o 7, pp. 1830–1840. [ DOI : 10.1109/TASL.2010.2050716 ]
  
  https://hal.inria.fr/inria-00541865
• 3R. Gribonval, K. Schnass.
  
  Dictionary Identification - Sparse Matrix-Factorisation via $\ell \_1$-Minimisation, in: IEEE Transactions on Information Theory, July 2010, vol. 56, n^o 7, pp. 3523–3539. [ DOI : 10.1109/TIT.2010.2048466 ]
  
  https://hal.archives-ouvertes.fr/hal-00541297
• 4D. K. Hammond, P. Vandergheynst, R. Gribonval.
  
  Wavelets on graphs via spectral graph theory, in: Applied and Computational Harmonic Analysis, March 2011, vol. 30, n^o 2, pp. 129–150. [ DOI : 10.1016/j.acha.2010.04.005 ]
  
  https://hal.inria.fr/inria-00541855
• 5S. Kitić, L. Albera, N. Bertin, R. Gribonval.
  
  Physics-driven inverse problems made tractable with cosparse regularization, in: IEEE Transactions on Signal Processing, January 2016, vol. 64, n^o 2, pp. 335-348. [ DOI : 10.1109/TSP.2015.2480045 ]
  
  https://hal.inria.fr/hal-01133087
• 6S. Kitić.
  
  Cosparse regularization of physics-driven inverse problems, IRISA, Inria Rennes, November 2015.
  
  https://hal.archives-ouvertes.fr/tel-01237323
• 7S. Nam, M. E. Davies, M. Elad, R. Gribonval.
  
  The Cosparse Analysis Model and Algorithms, in: Applied and Computational Harmonic Analysis, 2013, vol. 34, n^o 1, pp. 30–56, Preprint available on arXiv since 24 Jun 2011. [ DOI : 10.1016/j.acha.2012.03.006 ]
  
  http://hal.inria.fr/inria-00602205
• 8A. Ozerov, E. Vincent, F. Bimbot.
  
  A General Flexible Framework for the Handling of Prior Information in Audio Source Separation, in: IEEE Transactions on Audio, Speech and Language Processing, May 2012, vol. 20, n^o 4, pp. 1118 - 1133, 16.
  
  http://hal.inria.fr/hal-00626962
• 9G. Sargent.
  
  Music structure estimation using multi-criteria analysis and regularity constraints, Université Rennes 1, February 2013.
  
  https://tel.archives-ouvertes.fr/tel-00853737
• 10E. Vincent, N. Bertin, R. Gribonval, F. Bimbot.
  
  From blind to guided audio source separation, in: IEEE Signal Processing Magazine, December 2013.
  
  http://hal.inria.fr/hal-00922378

Publications of the year

Doctoral Dissertations and Habilitation Theses

• 11M. Chafii.
  
  Study of a new multicarrier waveform with low PAPR, CentraleSupélec, October 2016.
  
  https://hal.archives-ouvertes.fr/tel-01399509

Articles in International Peer-Reviewed Journals

• 12H. Becker, L. Albera, P. Comon, R. Gribonval, F. Wendling, I. Merlet.
  
  Localization of Distributed EEG Sources in the Context of Epilepsy: A Simulation Study, in: IRBM, 2016. [ DOI : 10.1016/j.irbm.2016.04.001 ]
  
  https://hal.archives-ouvertes.fr/hal-01359237
• 13F. Bimbot, E. Deruty, G. Sargent, E. Vincent.
  
  System & Contrast : A Polymorphous Model of the Inner Organization of Structural Segments within Music Pieces, in: Music Perception, 2016, 41 p.
  
  https://hal.inria.fr/hal-01188244
• 14M. Chafii, J. Palicot, R. Gribonval, F. Bader.
  
  A Necessary Condition for Waveforms with Better PAPR than OFDM, in: IEEE Transactions on Communications, 2016. [ DOI : 10.1109/TCOMM.2016.2584068 ]
  
  https://hal.inria.fr/hal-01128714
• 15S. Kitić, L. Albera, N. Bertin, R. Gribonval.
  
  Physics-driven inverse problems made tractable with cosparse regularization, in: IEEE Transactions on Signal Processing, January 2016, vol. 64, n^o 2, pp. 335-348. [ DOI : 10.1109/TSP.2015.2480045 ]
  
  https://hal.inria.fr/hal-01133087
• 16L. Le Magoarou, R. Gribonval.
  
  Flexible Multi-layer Sparse Approximations of Matrices and Applications, in: IEEE Journal of Selected Topics in Signal Processing, June 2016. [ DOI : 10.1109/JSTSP.2016.2543461 ]
  
  https://hal.inria.fr/hal-01167948
• 17G. Puy, N. Tremblay, R. Gribonval, P. Vandergheynst.
  
  Random sampling of bandlimited signals on graphs, in: Applied and Computational Harmonic Analysis, June 2016. [ DOI : 10.1016/j.acha.2016.05.005 ]
  
  https://hal.inria.fr/hal-01229578
• 18G. Sargent, F. Bimbot, E. Vincent.
  
  Estimating the structural segmentation of popular music pieces under regularity constraints, in: IEEE/ACM Transactions on Audio, Speech, and Language Processing, 2017.
  
  https://hal.inria.fr/hal-01403210
• 19N. Shahid, N. Perraudin, V. Kalofolias, G. Puy, P. Vandergheynst.
  
  Fast Robust PCA on Graphs, in: IEEE Journal of Selected Topics in Signal Processing, April 2016, vol. 10, n^o 4, pp. 740 - 756. [ DOI : 10.1109/JSTSP.2016.2555239 ]
  
  https://hal.inria.fr/hal-01277624
• 20N. Shahid, N. Perraudin, G. Puy, P. Vandergheynst.
  
  Compressive PCA for Low-Rank Matrices on Graphs, in: IEEE transactions on Signal and Information Processing over Networks, 2016, 17 p, Titled changed from initial preprint "Compressive PCA on graphs". [ DOI : 10.1109/TSIPN.2016.2631890 ]
  
  https://hal.inria.fr/hal-01277625
• 21Y. Traonmilin, R. Gribonval.
  
  Stable recovery of low-dimensional cones in Hilbert spaces: One RIP to rule them all, in: Applied and Computational Harmonic Analysis, September 2016.
  
  https://hal.inria.fr/hal-01207987
• 22N. Tremblay, P. Borgnat.
  
  Subgraph-based filterbanks for graph signals, in: IEEE Transactions on Signal Processing, March 2016.
  
  https://hal.archives-ouvertes.fr/hal-01243889
• 23M. B. Wakin, R. Gribonval, V. Koivunen, J. Romberg, J. Wright.
  
  Introduction to the Issue on Structured Matrices in Signal and Data Processing, in: IEEE Journal of Selected Topics in Signal Processing, May 2016, vol. 10, n^o 4, pp. 605–607. [ DOI : 10.1109/JSTSP.2016.2553398 ]
  
  https://hal.inria.fr/hal-01421797

Invited Conferences

• 24F. Bimbot.
  
  Towards an Information-Theoretic Framework for Music Structure, in: Dagstuhl Seminar on Computational Music Structure Analysis, Dagstuhk, Germany, February 2016, pp. 167-168. [ DOI : 10.4230/DagRep.6.2.147 ]
  
  https://hal.archives-ouvertes.fr/hal-01421013
• 25A. Deleforge, F. Forbes.
  
  Rectified binaural ratio: A complex T-distributed feature for robust sound localization, in: European Signal Processing Conference, Budapest, Hungary, August 2016, pp. 1257-1261.
  
  https://hal.inria.fr/hal-01372337
• 26C. Gaultier, S. Kataria, A. Deleforge.
  
  VAST : The Virtual Acoustic Space Traveler Dataset, in: International Conference on Latent Variable Analysis and Signal Separation (LVA/ICA), Grenoble, France, February 2017.
  
  https://hal.archives-ouvertes.fr/hal-01416508
• 27N. Keriven, N. Tremblay, Y. Traonmilin, R. Gribonval.
  
  Compressive K-means, in: International Conference on Acoustics, Speech and Signal Processing (ICASSP), New Orleans, United States, March 2017.
  
  https://hal.inria.fr/hal-01386077

International Conferences with Proceedings

• 28N. Bertin, E. Camberlein, E. Vincent, R. Lebarbenchon, S. Peillon, É. Lamandé, S. Sivasankaran, F. Bimbot, I. Illina, A. Tom, S. Fleury, E. Jamet.
  
  A French corpus for distant-microphone speech processing in real homes, in: Interspeech 2016, San Francisco, United States, September 2016.
  
  https://hal.inria.fr/hal-01343060
• 29N. Bertin, S. Kitić, R. Gribonval.
  
  Joint estimation of sound source location and boundary impedance with physics-driven cosparse regularization, in: ICASSP - 41st IEEE International Conference on Acoustics, Speech and Signal Processing, Shanghai, China, March 2016.
  
  https://hal.archives-ouvertes.fr/hal-01247227
• 30H. Jain, P. Pérez, R. Gribonval, J. Zepeda, H. Jégou.
  
  Approximate search with quantized sparse representations, in: 14th European Conference on Computer Vision (ECCV), Amsterdam, Netherlands, October 2016.
  
  https://hal.archives-ouvertes.fr/hal-01361953
• 31N. Keriven, A. Bourrier, R. Gribonval, P. Pérez.
  
  Sketching for Large-Scale Learning of Mixture Models, in: 2016 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP 2016), Shanghai, China, March 2016.
  
  https://hal.inria.fr/hal-01208027
• 32L. Le Magoarou, R. Gribonval.
  
  Are There Approximate Fast Fourier Transforms On Graphs?, in: International Conference on Acoustics, Speech and Signal Processing (ICASSP), Shanghai, China, March 2016.
  
  https://hal.archives-ouvertes.fr/hal-01254108
• 33C. Louboutin, F. Bimbot.
  
  Description of Chord Progressions by Minimal Transport Graphs Using the System & Contrast Model, in: ICMC 2016 - 42nd International Computer Music Conference, Utrecht, Netherlands, September 2016.
  
  https://hal.archives-ouvertes.fr/hal-01421023
• 34A. Magassouba, N. Bertin, F. Chaumette.
  
  Audio-based robot controlfrom interchannel level difference and absolute sound energy, in: IEEE/RSJ Int. Conf. on Intelligent Robots and Systems, IROS'16, Daejeon, South Korea, October 2016, pp. 1992-1999.
  
  https://hal.inria.fr/hal-01355394
• 35A. Magassouba, N. Bertin, F. Chaumette.
  
  Binaural auditory interaction without HRTF for humanoid robots: A sensor-based control approach, in: Workshop on Multimodal Sensor-based Control for HRI and soft manipulation, IROS'2016, Daejeon, South Korea, October 2016.
  
  https://hal.inria.fr/hal-01408422
• 36A. Magassouba, N. Bertin, F. Chaumette.
  
  First applications of sound-based control on a mobile robot equipped with two microphones, in: IEEE Int. Conf. on Robotics and Automation, ICRA'16, Stockholm, Sweden, May 2016.
  
  https://hal.inria.fr/hal-01277589
• 37T. Nowakowski, N. Bertin, R. Gribonval, J. De Rosny, L. Daudet.
  
  Membrane Shape And Boundary Conditions Estimation Using Eigenmode Decomposition, in: ICASSP 2016 – 41st IEEE International Conference on Acoustics, Speech and Signal Processing, Shanghai, China, March 2016.
  
  https://hal.inria.fr/hal-01254882
• 38A. Schmidt, A. Deleforge, W. Kellermann.
  
  Ego-Noise Reduction Using a Motor Data-Guided Multichannel Dictionary, in: International Conference on Intelligent Robots and Systems (IROS), 2016, Daejon, South Korea, IEEE/RSJ, October 2016, pp. 1281-1286.
  
  https://hal.inria.fr/hal-01415723
• 39N. Tremblay, G. Puy, P. Borgnat, R. Gribonval, P. Vandergheynst.
  
  Accelerated spectral clustering using graph filtering of random signals, in: 41st IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP 2016), Shanghai, China, March 2016.
  
  https://hal.archives-ouvertes.fr/hal-01243682
• 40N. Tremblay, G. Puy, R. Gribonval, P. Vandergheynst.
  
  Compressive Spectral Clustering, in: 33rd International Conference on Machine Learning, New York, United States, June 2016.
  
  https://hal.archives-ouvertes.fr/hal-01320214

National Conferences with Proceedings

• 41M. Chafii, J. Palicot, R. Gribonval.
  
  La modulation en ondelettes: une modulation alternative à faible consommation d'énergie, in: URSI Énergie et radiosciences, Rennes, France, Journées Scientifiques URSI "Énergie et radiosciences", March 2016, n^o 143.
  
  https://hal.archives-ouvertes.fr/hal-01401604
• 42N. Montavont, D. Shehadeh, J. Palicot, X. Lagrange, A. Blanc, R. Gribonval, P. Mary, J.-Y. Baudais, J.-F. Hélard, M. Crussière, Y. Louët, C. Moy.
  
  Toward Energy Proportional Networks, in: Journées scientifiques, URSI 2016, Rennes, France, March 2016.
  
  https://hal.archives-ouvertes.fr/hal-01297894

Conferences without Proceedings

• 43M. Chafii, M. Lamarana Diallo, J. Palicot, F. Bader, R. Gribonval.
  
  Adaptive Tone Reservation for better BER Performance in a Frequency Selective Fading Channel, in: IEEE VTC2016-Spring, Nanjing, China, May 2016.
  
  https://hal-centralesupelec.archives-ouvertes.fr/hal-01290918
• 44S. Kitic, N. Bertin, R. Gribonval.
  
  The best of both worlds: synthesis-based acceleration for physics-driven cosparse regularization, in: iTwist 2016 - International Traveling Workshop on Interactions Between Sparse Models and Technology, Aalborg, Denmark, August 2016.
  
  https://hal.archives-ouvertes.fr/hal-01329051
• 45E. Perthame, F. Forbes, B. Olivier, A. Deleforge.
  
  Non linear robust regression in high dimension, in: The XXVIIIth International Biometric Conference, Victoria, Canada, July 2016.
  
  https://hal.archives-ouvertes.fr/hal-01423622
• 46E. Perthame, F. Forbes, B. Olivier, A. Deleforge.
  
  Regression non lineaire robuste en grande dimension, in: 48èmes Journées de Statistique organisées par la Société Française de Statistique, Montpellier, France, May 2016.
  
  https://hal.archives-ouvertes.fr/hal-01423630

Internal Reports

• 47C. Louboutin, F. Bimbot.
  
  Tensorial Description of Chord Progressions: Complementary Scientific Material, IRISA, équipe PANAMA, May 2016.
  
  https://hal.archives-ouvertes.fr/hal-01314493
• 48G. Sargent, F. Bimbot, E. Vincent.
  
  Supplementary material to the article: Estimating the structural segmentation of popular music pieces under regularity constraints, IRISA-Inria, Campus de Beaulieu, 35042 Rennes cedex ; Inria Nancy, équipe Multispeech, September 2016.
  
  https://hal.inria.fr/hal-01368683

Patents

• 49M. Chafii, J. Palicot, R. Gribonval.
  
  Dispositif de communication à modulation temps-fréquence adaptative, July 2016, n^o Numéro de demande : 1656806 ; Numéro de soumission : 1000356937.
  
  https://hal.inria.fr/hal-01375661

Other Publications

• 50A. Deleforge, Y. Traonmilin.
  
  Phase Unmixing : Multichannel Source Separation with Magnitude Constraints, September 2016, working paper or preprint.
  
  https://hal.inria.fr/hal-01372418
• 51S. Kataria, C. Gaultier, A. Deleforge.
  
  Hearing in a shoe-box : binaural source position and wall absorption estimation using virtually supervised learning , September 2016, working paper or preprint.
  
  https://hal.inria.fr/hal-01372435
• 52N. Keriven, A. Bourrier, R. Gribonval, P. Pérez.
  
  Sketching for Large-Scale Learning of Mixture Models, June 2016, working paper or preprint.
  
  https://hal.inria.fr/hal-01329195
• 53L. Le Magoarou, R. Gribonval, N. Tremblay.
  
  Approximate Fast Fourier Transforms on graphs via multi-layer sparse approximations, December 2016, working paper or preprint.
  
  https://hal.inria.fr/hal-01416110
• 54E. Perthame, F. Forbes, A. Deleforge.
  
  Inverse regression approach to robust non-linear high-to-low dimensional mapping, July 2016, working paper or preprint.
  
  https://hal.archives-ouvertes.fr/hal-01347455

References in notes

• 55A. Adler, V. Emiya, M. G. Jafari, M. Elad, R. Gribonval, M. D. Plumbley.
  
  Audio Inpainting, in: IEEE Transactions on Audio, Speech and Language Processing, March 2012, vol. 20, n^o 3, pp. 922 - 932. [ DOI : 10.1109/TASL.2011.2168211 ]
  
  http://hal.inria.fr/inria-00577079
• 56L. Albera, S. Kitić, N. Bertin, G. Puy, R. Gribonval.
  
  Brain source localization using a physics-driven structured cosparse representation of EEG signals, in: 2014 IEEE International Workshop on Machine Learning for Signal Processing, Reims, France, September 2014, 6 p.
  
  https://hal.archives-ouvertes.fr/hal-01027609
• 57S. Arberet, A. Ozerov, F. Bimbot, R. Gribonval.
  
  A tractable framework for estimating and combining spectral source models for audio source separation, in: Signal Processing, August 2012, vol. 92, n^o 8, pp. 1886-1901.
  
  http://hal.inria.fr/hal-00694071
• 58C. Bilen, S. Kitić, N. Bertin, R. Gribonval.
  
  Sparse Acoustic Source Localization with Blind Calibration for Unknown Medium Characteristics, August 2014, iTwist - 2nd international - Traveling Workshop on Interactions between Sparse models and Technology.
  
  https://hal.inria.fr/hal-01060320
• 59C. Blandin, A. Ozerov, E. Vincent.
  
  Multi-source TDOA estimation in reverberant audio using angular spectra and clustering, in: Signal Processing, March 2012, vol. 92, pp. 1950-1960, Revised version including minor corrections in equations (17), (18) and Figure 1 compared to the version published by Elsevier. [ DOI : 10.1016/j.sigpro.2011.10.032 ]
  
  http://hal.inria.fr/inria-00630994
• 60A. Bourrier.
  
  Compressed sensing and dimensionality reduction for unsupervised learning, Université Rennes 1, May 2014.
  
  https://tel.archives-ouvertes.fr/tel-01023030
• 61A. Bourrier, R. Gribonval, P. Pérez.
  
  Compressive Gaussian Mixture Estimation, in: Signal Processing with Adaptive Sparse Structured Representations (SPARS) 2013, Switzerland, July 2013.
  
  http://hal.inria.fr/hal-00811819
• 62A. Bourrier, R. Gribonval, P. Pérez.
  
  Compressive Gaussian Mixture Estimation, in: ICASSP - 38th International Conference on Acoustics, Speech, and Signal Processing, Vancouver, Canada, 2013, pp. 6024-6028.
  
  http://hal.inria.fr/hal-00799896
• 63A. Bourrier, R. Gribonval, P. Pérez.
  
  Estimation de mélange de Gaussiennes sur données compressées, in: 24ème Colloque Gretsi, France, September 2013, 191 p.
  
  http://hal.inria.fr/hal-00839579
• 64M. Chafii.
  
  Study of a new multicarrier waveform with low PAPR, CentraleSupélec, October 2016.
  
  https://hal.archives-ouvertes.fr/tel-01399509
• 65M. Chafii, J. Palicot, R. Gribonval.
  
  A PAPR upper bound of generalized waveforms for multi-carrier modulation systems, in: 6th International Symposium on Communications, Control, and Signal Processing - ISCCSP 2014, Athènes, Greece, May 2014, pp. 461 - 464. [ DOI : 10.1109/ISCCSP.2014.6877913 ]
  
  https://hal-supelec.archives-ouvertes.fr/hal-01072519
• 66M. Chafii, J. Palicot, R. Gribonval.
  
  Closed-form Approximations of the PAPR Distribution for Multi-Carrier Modulation Systems, in: EUSIPCO 2014 - European Signal Processing Conference, Lisbonne, Portugal, September 2014.
  
  https://hal.inria.fr/hal-01054126
• 67M. Chafii, J. Palicot, R. Gribonval.
  
  Closed-form approximations of the peak-to-average power ratio distribution for multi-carrier modulation and their applications, in: EURASIP Journal on Advances in Signal Processing, 2014, vol. 2014, n^o 1, 121 p. [ DOI : 10.1186/1687-6180-2014-121 ]
  
  https://hal.inria.fr/hal-01056153
• 68M. Chafii, J. Palicot, R. Gribonval.
  
  L'optimalité de l'OFDM en termes de performance en PAPR, in: 25ème Colloque Gretsi 2015, Lyon, France, September 2015.
  
  https://hal-supelec.archives-ouvertes.fr/hal-01165509
• 69F. Chaumette, S. Hutchinson.
  
  Visual servo control, Part I: Basic approaches, in: IEEE Robotics and Automation Magazine, 2006, vol. 13, n^o 4, pp. 82-90.
  
  https://hal.inria.fr/inria-00350283
• 70A. Deleforge, F. Forbes, R. Horaud.
  
  Acoustic space learning for sound-source separation and localization on binaural manifolds, in: International journal of neural systems, 2015, vol. 25, n^o 01, 1440003 p.
  
  https://hal.archives-ouvertes.fr/hal-00960796
• 71N. Duong, E. Vincent, R. Gribonval.
  
  Spatial location priors for Gaussian model-based reverberant audio source separation, Inria, September 2012, n^o RR-8057.
  
  http://hal.inria.fr/hal-00727781
• 72N. Duong, E. Vincent, R. Gribonval.
  
  Spatial location priors for Gaussian model based reverberant audio source separation, in: EURASIP Journal on Advances in Signal Processing, September 2013, 149 p. [ DOI : 10.1186/1687-6180-2013-149 ]
  
  http://hal.inria.fr/hal-00865125
• 73R. Giryes, S. Nam, M. Elad, R. Gribonval, M. E. Davies.
  
  Greedy-Like Algorithms for the Cosparse Analysis Model, in: Linear Algebra and its Applications, January 2014, vol. 441, pp. 22–60, partially funded by the ERC, PLEASE project, ERC-2011-StG-277906. [ DOI : 10.1016/j.laa.2013.03.004 ]
  
  http://hal.inria.fr/hal-00716593
• 74N. Ito.
  
  Robust microphone array signal processing against diffuse noise, University of Tokyo, January 2012.
  
  http://hal.inria.fr/tel-00691931
• 75N. Ito, E. Vincent, N. Ono, S. Sagayama.
  
  Robust estimation of directions-of-arrival in diffuse noise based on matrix-space sparsity, Inria, October 2012, n^o RR-8120.
  
  http://hal.inria.fr/hal-00746271
• 76N. Keriven, R. Gribonval.
  
  Compressive Gaussian Mixture Estimation by Orthogonal Matching Pursuit with Replacement, July 2015, SPARS 2015.
  
  https://hal.inria.fr/hal-01165984
• 77S. Kitić, N. Bertin, R. Gribonval.
  
  A review of cosparse signal recovery methods applied to sound source localization, in: Le XXIVe colloque Gretsi, Brest, France, September 2013.
  
  http://hal.inria.fr/hal-00838080
• 78S. Kitić, N. Bertin, R. Gribonval.
  
  Audio Declipping by Cosparse Hard Thresholding, August 2014, iTwist - 2nd international - Traveling Workshop on Interactions between Sparse models and Technology.
  
  https://hal.inria.fr/hal-00922497
• 79S. Kitić, N. Bertin, R. Gribonval.
  
  Hearing behind walls: localizing sources in the room next door with cosparsity, in: ICASSP - IEEE International Conference on Acoustics, Speech, and Signal Processing, Florence, Italy, May 2014. [ DOI : 10.1109/ICASSP.2014.6854168 ]
  
  https://hal.inria.fr/hal-00904779
• 80S. Kitić, N. Bertin, R. Gribonval.
  
  Sparsity and cosparsity for audio declipping: a flexible non-convex approach, in: LVA/ICA 2015 - The 12th International Conference on Latent Variable Analysis and Signal Separation, Liberec, Czech Republic, August 2015, 8 p.
  
  https://hal.inria.fr/hal-01159700
• 81S. Kitić.
  
  Cosparse regularization of physics-driven inverse problems, Université Rennes 1 ; Inria Rennes Bretagne Atlantique, November 2015.
  
  https://hal.archives-ouvertes.fr/tel-01237323
• 82M. Kowalski, K. Siedenburg, M. Dörfler.
  
  Social Sparsity! Neighborhood Systems Enrich Structured Shrinkage Operators, in: IEEE Transactions on Signal Processing, May 2013, vol. 61, n^o 10, pp. 2498 - 2511. [ DOI : 10.1109/TSP.2013.2250967 ]
  
  https://hal.archives-ouvertes.fr/hal-00691774
• 83L. Le Magoarou, R. Gribonval, A. Gramfort.
  
  FA$\mu$ST: speeding up linear transforms for tractable inverse problems, in: European Signal Processing Conference (EUSIPCO), Nice, France, August 2015.
  
  https://hal.archives-ouvertes.fr/hal-01156478
• 84L. Le Magoarou, R. Gribonval.
  
  Chasing butterflies: In search of efficient dictionaries, in: International Conference on Acoustics, Speech and Signal Processing (ICASSP), Brisbane, Australia, April 2015. [ DOI : 10.1109/ICASSP.2015.7178579 ]
  
  https://hal.archives-ouvertes.fr/hal-01104696
• 85L. Le Magoarou.
  
  Efficient matrices for signal processing and machine learning, INSA de Rennes, November 2016.
  
  https://tel.archives-ouvertes.fr/tel-01412558
• 86A. Magassouba, N. Bertin, F. Chaumette.
  
  Sound-based control with two microphones, in: IEEE/RSJ Int. Conf. on Intelligent Robots and Systems, IROS'15, Hamburg, Germany, September 2015, pp. 5568-5573.
  
  https://hal.inria.fr/hal-01185841
• 87S. Nam, R. Gribonval.
  
  Physics-driven structured cosparse modeling for source localization, in: Acoustics, Speech and Signal Processing, IEEE International Conference on (ICASSP 2012), Kyoto, Japon, IEEE, 2012.
  
  http://hal.inria.fr/hal-00659405
• 88A. A. Nugraha, A. Liutkus, E. Vincent.
  
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