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  • Sergio Verdú. Empirical Estimation of Information Measures: A Literature Guide. Entropy, 21(8), 720, 2019. (PDF)
  • J. Emmanuel Johnson, Valero Laparra, Raul Santos-Rodriguez, Gustau Camps-Valls, Jesus Malo. Information Theory in Density Destructors. In International Conference on Machine Learning (ICML): Invertible Neural Networks and Normalizing Flows workshop, 2019. (PDF)
  • Angelos Filippatos, Albert Langkamp, Pawel Kostka and Maik Gude. A Sequence-Based Damage Identification Method for Composite Rotors by Applying the Kullback–Leibler Divergence, a Two-Sample Kolmogorov–Smirnov Test and a Statistical Hidden Markov Model. Entropy, 21, 690, 2019. (PDF)
  • Fatemehsadat Mireshghallah, Mohammadkazem Taram, Prakash Ramrakhyani, Dean Tullsen, Hadi Esmaeilzadeh. Shredder: Learning Noise to Protect Privacy with Partial DNN Inference on the Edge. Technical report, 2019. (PDF)
  • Matthieu Lerasle, Zoltan Szabo, Timothee Mathieu, Guillaume Lecue. MONK - Outlier-Robust Mean Embedding Estimation by Median-of-Means. In International Conference on Machine Learning (ICML), pages 3782-3793, 2019. (PDF)
  • Mafalda Dias, Jonathan Frazer, Alexander Westphal. Inflation as an Information Bottleneck - A strategy for identifying universality classes and making robust predictions. Journal of High Energy Physics, 65, 2019. (PDF)
  • Kiarash Shaloudegi, András György. Adaptive MCMC via Combining Local Samplers. In International Conference on Artificial Intelligence and Statistics (AISTATS), PMLR 89:2701-2710, 2019. (PDF)
  • Ce Zheng, Malcolm Egan, Laurent Clavier, Gareth Peters, Jean-Marie Gorce. Copula-Based Interference Models for IoT Wireless Networks. Technical report, 2019. (PDF)


  • M. Lavanga, O. De Wel, A. Caicedo, K. Jansen, A. Dereymaeker, G. Naulaers and S. Van Huffel. A brain-age model for preterm infants based on functional connectivity. Physiological Measurement 39(4), 2018. (paper)
  • Yu Huang, Liang Jin, Hongquan Wei, Zhou Zhong, Shengjun Zhang. Fast Secret Key Generation Based on Dynamic Private Pilot from Static Wireless Channels. China Communications, 15(11):171-183, 2018. (paper)
  • Vipin Gupta and Ram Bilas Pachori. A new method for classification of focal and non-focal EEG signals. In International Conference on Machine Intelligence and Signal Processing, 2018. (PDF)
  • Sebastian Moguilner, Adolfo M. García, Ezequiel Mikulan, Eugenia Hesse, Indira García-Cordero, Margherita Melloni, Sabrina Cervetto, Cecilia Serrano, Eduar Herrera, Pablo Reyes, Diana Matallana, Facundo Manes, Agustín Ibáñez, Lucas Sedeño. Weighted Symbolic Dependence Metric (wSDM) for fMRI resting-state connectivity: A multicentric validation for frontotemporal dementia. Scientific Reports, volume 8, Article number: 11181 (2018). (PDF)
  • Ching-Yao Chou, En-Jui Chang, Huai-Ting Li, An-Yeu Wu. Low-Complexity Privacy-Preserving Compressive Analysis Using Subspace-Based Dictionary for ECG Telemonitoring System. IEEE Transactions on Biomedical Circuits and Systems, 2018, (accepted). (PDF)
  • Nicholas M. Timme and Christopher Lapish. A Tutorial for Information Theory in Neuroscience. eNeuro, 2018. (PDF)
  • Giovanni Capellari, Eleni Chatzi, Stefano Mariani. Structural Health Monitoring Sensor Network Optimization through Bayesian Experimental Design. ASCE-ASME Journal of Risk and Uncertainty in Engineering Systems, Part A: Civil Engineering, 4(2), 2018. (PDF)
  • Ishan Deshpande, Ziyu Zhang, and Alexander Schwing. Generative Modeling using the Sliced Wasserstein Distance. In Conference on Computer Vision and Pattern Recognition (CVPR), 2018. (PDF)
  • Alan Wisler, Visar Berisha, Andreas Spanias, Alfred O. Hero. Direct Estimation of Density Functionals Using a Polynomial Basis. IEEE Transactions on Signal Processing, 66(3): 558–572, 2018. (PDF)
  • Chuong H. Nguyen, Panagiotis Artemiadis. EEG Feature Descriptors and Discriminant Analysis under Riemannian Manifold perspective. Neurocomputing, 275: 1871-1883, 2018. (PDF)
  • Alan Wisler, Kevin Moon, Visar Berisha. Direct Ensemble Estimation of Density Functionals. In International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 2018. (PDF)
  • Structured Data: Learning, Prediction, Dependency, Testing: Master 2 Data Science course @ University of Paris-Saclay, 2017 & 2018.


  • Weihao Gao, Sreeram Kannan, Sewoong Oh, Pramod Viswanath. Estimating Mutual Information for Discrete-Continuous Mixtures. Advances in Neural Information Processing Systems (NIPS), 2017. (PDF)
  • Yu Huang, Liang Jin, Na Li, Zhou Zhong, Xiaoming Xu. Secret key generation based on private pilot under man-in-the-middle attack. Science China Information Sciences, 60:100307, 2017. (PDF)
  • Abdul Baseer, Stephen J. Weddell, Richard D. Jones. Prediction of Microsleeps Using Pairwise Joint Entropy and Mutual Information between EEG channels. In Annual International Conference of IEEE Engineering in Medicine and Biology Society (EMB), 2017. (PDF)
  • Lars Mescheder, Sebastian Nowozin, Andreas Geiger. Adversarial Variational Bayes: Unifying Variational Autoencoders and Generative Adversarial Networks. Technical report, 2017. (PDF)
  • Brendon J. Brewer. Computing Entropies With Nested Sampling. Entropy, 19(8), 422, 2017. (PDF)
  • James W. Weis. Artificial Intelligence and Protein Engineering: Information Theoretical Approaches to Modeling Enzymatic Catalysis. Master's thesis, MIT, 2017. (PDF)
  • Mario A. Muñoz and Kate Smith-Miles. Non-parametric model of the space of continuous black-box optimization problems. In Proceedings of GECCO'17 Companion, Berlin, Germany, July 15-19, 2017. (PDF)
  • Longwang Cheng, Li Zhou, Boon-Chong Seet, Wei Li, Dongtang Ma, and Jibo Wei. Efficient Physical Layer Secret Key Generation and Authentication Schemes Based on Wireless Channel-Phase. Mobile Information Systems, Article ID7393526, 2017. (PDF)
  • Kiran Karra, Lamine Mili. Copula Index for Detecting Dependence and Monotonicity between Stochastic Signals. Technical report, 2017. (PDF)


  • Mauricio Holguín-Londoño, Oscar Cardona-Morales, Edgar F. Sierra-Alonso, Juan D. Mejia-Henao, Álvaro Orozco-Gutiérrez, and German Castellanos-Dominguez. Machine Fault Detection Based on Filter Bank Similarity Features Using Acoustic and Vibration Analysis. Mathematical Problems in Engineering, vol. 2016, Article ID7906834, 14 pages, 2016. (PDF)
  • John Quilty, Jan Adamowski, Bahaa Khalil, Maheswaran Rathinasamy. Bootstrap rank-ordered conditional mutual information (broCMI): A nonlinear input variable selection method for water resources modeling. Water Resources Research, 52(3):2299-2326, 2016. (PDF)
  • Zoltán Szabó, Bharath K. Sriperumbudur, Barnabás Póczos, and Arthur Gretton. Learning Theory for Distribution Regression. Journal of Machine Learning Research, 17(152):1-40, 2016. (PDF)
  • Juan Diego Mejía Henao. Sistema de monitoreo de señales industriales de máquinas rotativas basado en señales de emisión acústica. Master's thesis, National University of Colombia, 2016. (PDF)
  • Shashank Singh, Barnabás Póczos. Finite-Sample Analysis of Fixed-k Nearest Neighbor Density Functional Estimators. In Neural Information Processing Systems (NIPS), pages 1217-1225, Barcelona, Spain, 5-10 December 2016. (PDF)
  • Joris M. Mooij, Jonas Peters, Dominik Janzing, Jakob Zscheischler, and Bernhard Schölkopf. Distinguishing cause from effect using observational data: methods and benchmarks. Journal of Machine Learning Research, 17(32):1-102, 2016. (PDF)
  • Tuomas Eerola. Expectancy-violation and information-theoretic models of melodic complexity. Empirical musicology review, 11 (1), 2016. (PDF)
  • Ievgen Redko, Younés Bennani. Non-negative Embedding for Fully Unsupervised Domain Adaptation. Pattern Recognition Letters, 77: pages 35–41, 2016. (PDF)


  • In-Soo Jung, Mario Berges, James H. Garrett Jr., Barnabás Póczos. Exploration and evaluation of AR, MPCA and KL anomaly detection techniques to embankment dam piezometer data. Advanced Engineering Informatics 29(4): 902–917, 2015. (PDF)
  • Yan Liu, Jack Y. B. Lee. An Empirical Study of Throughput Prediction in Mobile Data Networks. In IEEE Global Communications Conference (GLOBECOM), pages 1-6, 2015. (PDF)
  • Ruben Gepner, Mirna Mihovilovic Skanata, Natalie M Bernat, Margarita Kaplow, Marc Gershow. Computations underlying Drosophila photo-taxis, odor-taxis, and multi-sensory integration. eLife 2015;4:e06229. (PDF)
  • Mohammad A. Sedaghat, Ralf R. Müller. Multi-dimensional Continuous Phase Modulation in uplink of MIMO Systems. In European Signal Processing Conference (EUSIPCO), pages 2491–2495, Nice, France, 31 August - 4 September 2015. (PDF)
  • Ruitong Huang, András György, Szepesvári Csaba. Deterministic Independent Component Analysis. In International Conference on Machine Learning (ICML), pages 2521-2530, 2015. (PDF)
  • Navaneethakrishna Makaram, Ramakrishnan Swaminathan. A Binary Bat Approach for Identification of Fatigue Condition from sEMG Signals. Swarm, Evolutionary, and Memetic Computing, pages 480-489, 2015. (PDF)
  • Kirthevasan Kandasamy, Akshay Krishnamurthy, Barnabás Póczos, Larry Wasserman, James M. Robins. Nonparametric von Mises Estimators for Entropies, Divergences and Mutual Informations. In Neural Information Processing Systems (NIPS), pages 397-405, Montréal, Canada, 7-12 December 2015. (PDF, supplement)
  • Shuyang Gao, Greg Ver Steeg, and Aram Galstyan. Efficient Estimation of Mutual Information for Strongly Dependent Variables. In International Conference on Artificial Intelligence and Statistics (AISTATS), pages 277–286, San Diego, California, USA, 9-12 May 2015. (PDF, supplement)
  • Mohammad A. Sedaghat, Ralf R. Müller. A novel modulation scheme for user devices equipped with a single-RF MIMO transmitter. In International ITG Workshop on Smart Antennas (WSA), pages 1-6, Ilmenau, Germany, March 3-5, 2015. (PDF).
  • Zoltán Szabó, Arthur Gretton, Barnabás Póczos, and Bharath K. Sriperumbudur. Two-stage Sampled Learning Theory on Distributions. In International Conference on Artificial Intelligence and Statistics (AISTATS), pages 948-957, San Diego, California, USA, 9-12 May 2015. (PDF, supplement)
  • Matt Barnes, Nick Gisolfi, Madalina Fiterau, and Artur Dubrawski. Leveraging common structure to improve prediction across related datasets. In Proceedings of the Twenty-Ninth AAAI Conference on Artificial Intelligence, January 25-30, 2015, Austin, Texas, USA. AAAI Press. (PDF)


  • Yvonne Höller, Aljoscha Thomschewski, Jürgen Bergmann, Martin Kronbichler, Julia S. Crone, Elisabeth V. Schmid, Kevin Butz, Peter Höller, Raffaele Nardone, and Eugen Trinka. Connectivity biomarkers can differentiate patients with different levels of consciousness. Clinical Neurophysiology, 2013. (PDF)
  • Yvonne Höller, Jürgen Bergmann, Aljoscha Thomschewski, Martin Kronbichler, Peter Höller, Julia S. Crone, Elisabeth V. Schmid, Kevin Butz, Raffaele Nardone, and Eugen Trinka. Comparison of EEG-Features and Classification Methods for Motor Imagery in Patients with Disorders of Consciousness. PLOS One, 8(11):e80479, 2013. (PDF)


  • Mircea Stoica. Detecting the no-control state in self-paced Brain-Computer Interfaces. Master's thesis, University of Twente, 2012. (PDF)

Sample publication

  • Authors. Title. Journal, X(Y):A–B, C. (PDF)
  • Authors. Title. In Conference, pages A–B, C. (PDF)
  • Authors. Title. Technical report, A, B. (PDF)

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