Maurizio Filippone
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
40
Venues
14
Active years
2006–2025
Best venue rank
A*
Where they publish
Papers
40 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2025 | AISTATS | Robust Classification by Coupling Data Mollification with Label Smoothing. | Markus Heinonen, Ba-Hien Tran, Michael Kampffmeyer, Maurizio Filippone |
| 2025 | AISTATS | Unconditionally Calibrated Priors for Beta Mixture Density Networks. | Alix Lhritier, Maurizio Filippone |
| 2025 | ICLR | Zero-shot Model-based Reinforcement Learning using Large Language Models. | Abdelhakim Benechehab, Youssef Attia El Hili, Ambroise Odonnat, Oussama Zekri, Albert Thomas, Giuseppe Paolo, Maurizio Filippone, Ievgen Redko, Balzs Kgl |
| 2025 | ICML | AdaPTS: Adapting Univariate Foundation Models to Probabilistic Multivariate Time Series Forecasting. | Abdelhakim Benechehab, Vasilii Feofanov, Giuseppe Paolo, Albert Thomas, Maurizio Filippone, Balzs Kgl |
| 2025 | IJCNN | Variational Inference for Quantum HyperNetworks. | Luca Nepote, Alix Lhritier, Nicolas Bondoux, Marios Kountouris, Maurizio Filippone |
| 2024 | ICML | Position: Bayesian Deep Learning is Needed in the Age of Large-Scale AI. | Theodore Papamarkou, Maria Skoularidou, Konstantina Palla, Laurence Aitchison, Julyan Arbel, David B. Dunson, Maurizio Filippone, Vincent Fortuin, Philipp Hennig, Jos Miguel Hernndez-Lobato, Aliaksandr Hubin, Alexander Immer, Theofanis Karaletsos, Mohammad Emtiyaz Khan, Agustinus Kristiadi, Yingzhen Li, Stephan Mandt, Christopher Nemeth, Michael A. Osborne, Tim G. J. Rudner, David Rgamer, Yee Whye Teh, Max Welling, Andrew Gordon Wilson, Ruqi Zhang |
| 2023 | AISTATS | Complex-to-Real Sketches for Tensor Products with Applications to the Polynomial Kernel. | Jonas Wacker, Ruben Ohana, Maurizio Filippone |
| 2023 | ICML | Fully Bayesian Autoencoders with Latent Sparse Gaussian Processes. | Ba-Hien Tran, Babak Shahbaba, Stephan Mandt, Maurizio Filippone |
| 2023 | ICPRAM | Imposing Functional Priors on Bayesian Neural Networks. | Bogdan L. Kozyrskiy, Dimitrios Milios, Maurizio Filippone |
| 2022 | ICML | Revisiting the Effects of Stochasticity for Hamiltonian Samplers. | Giulio Franzese, Dimitrios Milios, Maurizio Filippone, Pietro Michiardi |
| 2022 | KES | Locally Smoothed Gaussian Process Regression. | Davit Gogolashvili, Bogdan L. Kozyrskiy, Maurizio Filippone |
| 2022 | KES | Variational Bootstrap for Classification. | Bogdan L. Kozyrskiy, Dimitrios Milios, Maurizio Filippone |
| 2022 | KES | Local Random Feature Approximations of the Gaussian Kernel. | Jonas Wacker, Maurizio Filippone |
| 2021 | AISTATS | Sparse Gaussian Processes Revisited: Bayesian Approaches to Inducing-Variable Approximations. | Simone Rossi, Markus Heinonen, Edwin V. Bonilla, Zheyang Shen, Maurizio Filippone |
| 2021 | CoNEXT | Towards a generic deep learning pipeline for traffic measurements. | Raphal Azorin, Massimo Gallo, Alessandro Finamore, Maurizio Filippone, Pietro Michiardi, Dario Rossi |
| 2021 | ICML | An Identifiable Double VAE For Disentangled Representations. | Graziano Mita, Maurizio Filippone, Pietro Michiardi |
| 2021 | ICML | Sparse within Sparse Gaussian Processes using Neighbor Information. | Gia-Lac Tran, Dimitrios Milios, Pietro Michiardi, Maurizio Filippone |
| 2021 | ICMLA | Multimodal Variational Autoencoders for Sensor Fusion and Cross Generation. | Matthieu Da Silva-Filarder, Andrea Ancora, Maurizio Filippone, Pietro Michiardi |
| 2020 | AISTATS | LIBRE: Learning Interpretable Boolean Rule Ensembles. | Graziano Mita, Paolo Papotti, Maurizio Filippone, Pietro Michiardi |
| 2020 | ICASSP | Kernel Computations from Large-Scale Random Features Obtained by Optical Processing Units. | Ruben Ohana, Jonas Wacker, Jonathan Dong, Sbastien Marmin, Florent Krzakala, Maurizio Filippone, Laurent Daudet |
| 2019 | AISTATS | Calibrating Deep Convolutional Gaussian Processes. | Gia-Lac Tran, Edwin V. Bonilla, John P. Cunningham, Pietro Michiardi, Maurizio Filippone |
| 2019 | ICML | Good Initializations of Variational Bayes for Deep Models. | Simone Rossi, Pietro Michiardi, Maurizio Filippone |
| 2019 | SAC | Exact gaussian process regression with distributed computations. | Duc-Trung Nguyen, Maurizio Filippone, Pietro Michiardi |
| 2018 | ICML | Constraining the Dynamics of Deep Probabilistic Models. | Marco Lorenzi, Maurizio Filippone |
| 2017 | ICML | Random Feature Expansions for Deep Gaussian Processes. | Kurt Cutajar, Edwin V. Bonilla, Pietro Michiardi, Maurizio Filippone |
| 2017 | IJCNN | Mini-batch spectral clustering. | Yufei Han, Maurizio Filippone |
| 2017 | UAI | Bayesian Inference of Log Determinants. | Jack K. Fitzsimons, Kurt Cutajar, Maurizio Filippone, Michael A. Osborne, Stephen J. Roberts |
| 2017 | UAI | AutoGP: Exploring the Capabilities and Limitations of Gaussian Process Models. | Karl Krauth, Edwin V. Bonilla, Kurt Cutajar, Maurizio Filippone |
| 2016 | ICML | Preconditioning Kernel Matrices. | Kurt Cutajar, Michael A. Osborne, John P. Cunningham, Maurizio Filippone |
| 2016 | ICML | Fast Parameter Inference in Nonlinear Dynamical Systems using Iterative Gradient Matching. | Mu Niu, Simon Rogers, Maurizio Filippone, Dirk Husmeier |
| 2015 | CCS | Monte Carlo Strength Evaluation: Fast and Reliable Password Checking. | Matteo Dell'Amico, Maurizio Filippone |
| 2015 | ICML | Enabling scalable stochastic gradient-based inference for Gaussian processes by employing the Unbiased LInear System SolvEr (ULISSE). | Maurizio Filippone, Raphael Engler |
| 2014 | ICPR | Bayesian Inference for Gaussian Process Classifiers with Annealing and Pseudo-Marginal MCMC. | Maurizio Filippone |
| 2014 | ICPR | Pseudo-Marginal Bayesian Multiple-Class Multiple-Kernel Learning for Neuroimaging Data. | Andrew D. O'Harney, Andre F. Marquand, Katya Rubia, Kaylita Chantiluke, Anna B. Smith, Ana Cubillo, Camilla Blain, Maurizio Filippone |
| 2013 | AISTATS | ODE parameter inference using adaptive gradient matching with Gaussian processes. | Frank Dondelinger, Dirk Husmeier, Simon Rogers, Maurizio Filippone |
| 2008 | ICDM | Detecting Suspicious Behavior in Surveillance Images. | Daniel Barbar, Carlotta Domeniconi, Zoran Duric, Maurizio Filippone, Richard Mansfield, Edgard Lawson |
| 2007 | IJCNN | Local Learning of Tide Level Time Series using a Fuzzy Approach. | Elio Canestrelli, P. Canestrelli, Marco Corazza, Maurizio Filippone, Silvio Giove, Francesco Masulli |
| 2007 | KES | SVM-Based Time Series Prediction with Nonlinear Dynamics Methods. | Francesco Camastra, Maurizio Filippone |
| 2007 | KES | Membership Embedding Space Approach and Spectral Clustering. | Stefano Rovetta, Francesco Masulli, Maurizio Filippone |
| 2006 | IJCNN | Supervised Classification and Gene Selection Using Simulated Annealing. | Maurizio Filippone, Francesco Masulli, Stefano Rovetta |