Pietro Michiardi

ORCID

Publication Activity (10 Years)

Years Active: 2002-2024
Publications (10 Years): 99

Top Venues

Publications

Giulio Franzese, Mustapha Bounoua, Pietro Michiardi
MINDE: Mutual Information Neural Diffusion Estimation. ICLR (2024)
Chao Wang, Giulio Franzese, Alessandro Finamore, Massimo Gallo, Pietro Michiardi
Information Theoretic Text-to-Image Alignment. CoRR (2024)
Chao Wang, Alessandro Finamore, Pietro Michiardi, Massimo Gallo, Dario Rossi
Data Augmentation for Traffic Classification. CoRR (2024)
Mustapha Bounoua, Giulio Franzese, Pietro Michiardi
SΩI: Score-based O-INFORMATION Estimation. CoRR (2024)
Raphaël Azorin, Zied Ben-Houidi, Massimo Gallo, Alessandro Finamore, Pietro Michiardi
Fine-grained Attention in Hierarchical Transformers for Tabular Time-series. CoRR (2024)
Mustapha Bounoua, Giulio Franzese, Pietro Michiardi
Multi-Modal Latent Diffusion. Entropy 26 (4) (2024)
Chao Wang, Alessandro Finamore, Pietro Michiardi, Massimo Gallo, Dario Rossi
Data Augmentation for Traffic Classification. PAM (1) (2024)
Chao Wang, Alessandro Finamore, Pietro Michiardi, Massimo Gallo, Dario Rossi
Toward Generative Data Augmentation for Traffic Classification. StudentWorkshop@CoNEXT (2023)
Raphaël Azorin, Massimo Gallo, Alessandro Finamore, Dario Rossi, Pietro Michiardi
"It's a Match!" - A Benchmark of Task Affinity Scores for Joint Learning. CoRR (2023)
Ba-Hien Tran, Giulio Franzese, Pietro Michiardi, Maurizio Filippone
One-Line-of-Code Data Mollification Improves Optimization of Likelihood-based Generative Models. NeurIPS (2023)
Giulio Franzese, Simone Rossi, Dario Rossi, Markus Heinonen, Maurizio Filippone, Pietro Michiardi
Continuous-Time Functional Diffusion Processes. CoRR (2023)
Giulio Franzese, Giulio Corallo, Simone Rossi, Markus Heinonen, Maurizio Filippone, Pietro Michiardi
Continuous-Time Functional Diffusion Processes. NeurIPS (2023)
Chao Wang, Alessandro Finamore, Pietro Michiardi, Massimo Gallo, Dario Rossi
Toward Generative Data Augmentation for Traffic Classification. CoRR (2023)
Giuseppe Di Giacomo, Giulio Franzese, Tania Cerquitelli, Carla-Fabiana Chiasserini, Pietro Michiardi
Multi-View Latent Diffusion. BigData (2023)
Francesco Pace, Daniele Venzano, Damiano Carra, Pietro Michiardi
A Flexible Heuristic to Schedule Distributed Analytic Applications in Compute Clusters. IEEE Trans. Cloud Comput. 11 (3) (2023)
Giulio Franzese, Mustapha Bounoua, Pietro Michiardi
MINDE: Mutual Information Neural Diffusion Estimation. CoRR (2023)
Mustapha Bounoua, Giulio Franzese, Pietro Michiardi
Multi-modal Latent Diffusion. CoRR (2023)
Giulio Franzese, Simone Rossi, Lixuan Yang, Alessandro Finamore, Dario Rossi, Maurizio Filippone, Pietro Michiardi
How Much Is Enough? A Study on Diffusion Times in Score-Based Generative Models. Entropy 25 (4) (2023)
Ba-Hien Tran, Giulio Franzese, Pietro Michiardi, Maurizio Filippone
One-Line-of-Code Data Mollification Improves Optimization of Likelihood-based Generative Models. CoRR (2023)
Giulio Franzese, Dimitrios Milios, Maurizio Filippone, Pietro Michiardi
Revisiting the Effects of Stochasticity for Hamiltonian Samplers. ICML (2022)
Ugo Lecerf, Christelle Yemdji Tchassi, Pietro Michiardi
Safer Autonomous Driving in a Stochastic, Partially-Observable Environment by Hierarchical Contingency Planning. CoRR (2022)
Giulio Franzese, Simone Rossi, Lixuan Yang, Alessandro Finamore, Dario Rossi, Maurizio Filippone, Pietro Michiardi
How Much is Enough? A Study on Diffusion Times in Score-based Generative Models. CoRR (2022)
Julien Audibert, Pietro Michiardi, Frédéric Guyard, Sébastien Marti, Maria A. Zuluaga
Do deep neural networks contribute to multivariate time series anomaly detection? Pattern Recognit. 132 (2022)
Julien Audibert, Pietro Michiardi, Frédéric Guyard, Sébastien Marti, Maria A. Zuluaga
Do Deep Neural Networks Contribute to Multivariate Time Series Anomaly Detection? CoRR (2022)
Ugo Lecerf, Christelle Yemdji Tchassi, Sébastien Aubert, Pietro Michiardi
Automatically Learning Fallback Strategies with Model-Free Reinforcement Learning in Safety-Critical Driving Scenarios. ICMLT (2022)
Ugo Lecerf, Christelle Yemdji Tchassi, Sébastien Aubert, Pietro Michiardi
Automatically Learning Fallback Strategies with Model-Free Reinforcement Learning in Safety-Critical Driving Scenarios. CoRR (2022)
Ba-Hien Tran, Simone Rossi, Dimitrios Milios, Pietro Michiardi, Edwin V. Bonilla, Maurizio Filippone
Model Selection for Bayesian Autoencoders. CoRR (2021)
Lucas Pascal, Pietro Michiardi, Xavier Bost, Benoit Huet, Maria A. Zuluaga
Maximum Roaming Multi-Task Learning. AAAI (2021)
Lucas Pascal, Pietro Michiardi, Xavier Bost, Benoit Huet, Maria A. Zuluaga
Optimization Strategies in Multi-Task Learning: Averaged or Separated Losses? CoRR (2021)
Giulio Franzese, Dimitrios Milios, Maurizio Filippone, Pietro Michiardi
A Scalable Bayesian Sampling Method Based on Stochastic Gradient Descent Isotropization. Entropy 23 (11) (2021)
Ba-Hien Tran, Simone Rossi, Dimitrios Milios, Pietro Michiardi, Edwin V. Bonilla, Maurizio Filippone
Model Selection for Bayesian Autoencoders. NeurIPS (2021)
Gia-Lac Tran, Dimitrios Milios, Pietro Michiardi, Maurizio Filippone
Sparse within Sparse Gaussian Processes using Neighbor Information. ICML (2021)
Giulio Franzese, Dimitrios Milios, Maurizio Filippone, Pietro Michiardi
A Unified View of Stochastic Hamiltonian Sampling. CoRR (2021)
Raphaël Azorin, Massimo Gallo, Alessandro Finamore, Maurizio Filippone, Pietro Michiardi, Dario Rossi
Towards a generic deep learning pipeline for traffic measurements. StudentWorkshop@CoNEXT (2021)
Graziano Mita, Maurizio Filippone, Pietro Michiardi
An Identifiable Double VAE For Disentangled Representations. ICML (2021)
Matthieu Da Silva-Filarder, Andrea Ancora, Maurizio Filippone, Pietro Michiardi
Multimodal Variational Autoencoders for Sensor Fusion and Cross Generation. ICMLA (2021)
Giulio Franzese, Yiqing Yan, Giuseppe Serra, Ivan D'Onofrio, Raja Appuswamy, Pietro Michiardi
Generative DNA: Representation Learning for DNA-based Approximate Image Storage. VCIP (2021)
Pietro Michiardi, Damiano Carra, Sara Migliorini
Cache-Based Multi-Query Optimization for Data-Intensive Scalable Computing Frameworks. Inf. Syst. Frontiers 23 (1) (2021)
Giulio Franzese, Rosa Candela, Dimitrios Milios, Maurizio Filippone, Pietro Michiardi
Isotropic SGD: a Practical Approach to Bayesian Posterior Sampling. CoRR (2020)
Damiano Carra, Giovanni Neglia, Pietro Michiardi
Elastic Provisioning of Cloud Caches: A Cost-Aware TTL Approach. IEEE/ACM Trans. Netw. 28 (3) (2020)
Julien Audibert, Pietro Michiardi, Frédéric Guyard, Sébastien Marti, Maria A. Zuluaga
USAD: UnSupervised Anomaly Detection on Multivariate Time Series. KDD (2020)
Gia-Lac Tran, Dimitrios Milios, Pietro Michiardi, Maurizio Filippone
Sparse within Sparse Gaussian Processes using Neighbor Information. CoRR (2020)
Lucas Pascal, Pietro Michiardi, Xavier Bost, Benoit Huet, Maria A. Zuluaga
Maximum Roaming Multi-Task Learning. CoRR (2020)
Graziano Mita, Paolo Papotti, Maurizio Filippone, Pietro Michiardi
LIBRE: Learning Interpretable Boolean Rule Ensembles. AISTATS (2020)
Rémi Domingues, Pietro Michiardi, Jérémie Barlet, Maurizio Filippone
A comparative evaluation of novelty detection algorithms for discrete sequences. Artif. Intell. Rev. 53 (5) (2020)
Graziano Mita, Maurizio Filippone, Pietro Michiardi
Learning Optimal Conditional Priors For Disentangled Representations. CoRR (2020)
Rosa Candela, Pietro Michiardi, Maurizio Filippone, Maria A. Zuluaga
Model Monitoring and Dynamic Model Selection in Travel Time-Series Forecasting. ECML/PKDD (4) (2020)
Dimitrios Milios, Pietro Michiardi, Maurizio Filippone
A Variational View on Bootstrap Ensembles as Bayesian Inference. CoRR (2020)
Rosa Candela, Giulio Franzese, Maurizio Filippone, Pietro Michiardi
Sparsification as a Remedy for Staleness in Distributed Asynchronous SGD. CoRR (2019)
Simone Rossi, Pietro Michiardi, Maurizio Filippone
Good Initializations of Variational Bayes for Deep Models. ICML (2019)
Damiano Carra, Giovanni Neglia, Pietro Michiardi
TTL-based Cloud Caches. INFOCOM (2019)
Gia-Lac Tran, Edwin V. Bonilla, John P. Cunningham, Pietro Michiardi, Maurizio Filippone
Calibrating Deep Convolutional Gaussian Processes. AISTATS (2019)
Francesco Pace, Dimitrios Milios, Damiano Carra, Pietro Michiardi
Dynamic Resource Shaping for Compute Clusters. BigData Congress (2019)
Remi Domingues, Pietro Michiardi, Jérémie Barlet, Maurizio Filippone
A comparative evaluation of novelty detection algorithms for discrete sequences. CoRR (2019)
Pietro Michiardi, Damiano Carra, Sara Migliorini
In-memory Caching for Multi-query Optimization of Data-intensive Scalable Computing Workloads. EDBT/ICDT Workshops (2019)
Marco Milanesio, Christian Callegari, Pietro Michiardi
Network level perspective in web sessions troubleshooting. Int. J. Commun. Syst. 32 (6) (2019)
Duc-Trung Nguyen, Maurizio Filippone, Pietro Michiardi
Exact gaussian process regression with distributed computations. SAC (2019)
Damiano Carra, Pietro Michiardi
Memory Partitioning and Management in Memcached. IEEE Trans. Serv. Comput. 12 (4) (2019)
Graziano Mita, Paolo Papotti, Maurizio Filippone, Pietro Michiardi
LIBRE: Learning Interpretable Boolean Rule Ensembles. CoRR (2019)
Pietro Michiardi, Damiano Carra, Sara Migliorini
Cache-based Multi-query Optimization for Data-intensive Scalable Computing Frameworks. CoRR (2018)
Francesco Pace, Dimitrios Milios, Damiano Carra, Daniele Venzano, Pietro Michiardi
A Data-Driven Approach to Dynamically Adjust Resource Allocation for Compute Clusters. CoRR (2018)
Damiano Carra, Giovanni Neglia, Pietro Michiardi
Elastic Provisioning of Cloud Caches: a Cost-aware TTL Approach. SoCC (2018)
Giovanni Neglia, Damiano Carra, Pietro Michiardi
Cache Policies for Linear Utility Maximization. IEEE/ACM Trans. Netw. 26 (1) (2018)
Remi Domingues, Maurizio Filippone, Pietro Michiardi, Jihane Zouaoui
A comparative evaluation of outlier detection algorithms: Experiments and analyses. Pattern Recognit. 74 (2018)
Damiano Carra, Giovanni Neglia, Pietro Michiardi
Elastic Provisioning of Cloud Caches: a Cost-aware TTL Approach. CoRR (2018)
Gil Vernik, Michael Factor, Elliot K. Kolodner, Pietro Michiardi, Effi Ofer, Francesco Pace
Stocator: Providing High Performance and Fault Tolerance for Apache Spark Over Object Storage. CCGrid (2018)
Dimitrios Milios, Raffaello Camoriano, Pietro Michiardi, Lorenzo Rosasco, Maurizio Filippone
Dirichlet-based Gaussian Processes for Large-scale Calibrated Classification. NeurIPS (2018)
Dimitrios Milios, Raffaello Camoriano, Pietro Michiardi, Lorenzo Rosasco, Maurizio Filippone
Dirichlet-based Gaussian Processes for Large-scale Calibrated Classification. CoRR (2018)
Remi Domingues, Pietro Michiardi, Jihane Zouaoui, Maurizio Filippone
Deep Gaussian Process autoencoders for novelty detection. Mach. Learn. 107 (8-10) (2018)
Gia-Lac Tran, Edwin V. Bonilla, John P. Cunningham, Pietro Michiardi, Maurizio Filippone
Calibrating Deep Convolutional Gaussian Processes. CoRR (2018)
Francesco Pace, Dimitrios Milios, Damiano Carra, Daniele Venzano, Pietro Michiardi
Data-Driven Resource Shaping for Compute Clusters. SoCC (2018)
Simone Rossi, Pietro Michiardi, Maurizio Filippone
Good Initializations of Variational Bayes for Deep Models. CoRR (2018)
Daniele Apiletti, Elena Baralis, Tania Cerquitelli, Paolo Garza, Fabio Pulvirenti, Pietro Michiardi
A Parallel MapReduce Algorithm to Efficiently Support Itemset Mining on High Dimensional Data. Big Data Res. 10 (2017)
Mario Pastorelli, Damiano Carra, Matteo Dell'Amico, Pietro Michiardi
HFSP: Bringing Size-Based Scheduling To Hadoop. IEEE Trans. Cloud Comput. 5 (1) (2017)
Kurt Cutajar, Edwin V. Bonilla, Pietro Michiardi, Maurizio Filippone
Random Feature Expansions for Deep Gaussian Processes. ICML (2017)
Son-Hai Ha, Patrick Brown, Pietro Michiardi
Resource Management for Parallel Processing Frameworks with Load Awareness at Worker Side. BigData Congress (2017)
Giovanni Neglia, Damiano Carra, Pietro Michiardi
Cache policies for linear utility maximization. INFOCOM (2017)
Alessandro Lulli, Lorenzo Gabrielli, Patrizio Dazzi, Matteo Dell'Amico, Pietro Michiardi, Mirco Nanni, Laura Ricci
Scalable and flexible clustering solutions for mobile phone-based population indicators. Int. J. Data Sci. Anal. 4 (4) (2017)
Yongchao Tian, Pietro Michiardi, Marko Vukolic
Bleach: A Distributed Stream Data Cleaning System. BigData Congress (2017)
Gil Vernik, Michael Factor, Elliot K. Kolodner, Pietro Michiardi, Effi Ofer, Francesco Pace
Stocator: A High Performance Object Store Connector for Spark. CoRR (2017)
Gil Vernik, Michael Factor, Elliot K. Kolodner, Effi Ofer, Pietro Michiardi, Francesco Pace
Stocator: an object store aware connector for apache spark. SoCC (2017)
Yosef Moatti, Eran Rom, Raúl Gracia Tinedo, Dalit Naor, Doron Chen, Josep Sampé, Marc Sánchez Artigas, Pedro García López, Filip Gluszak, Eric Deschdt, Francesco Pace, Daniele Venzano, Pietro Michiardi
Too Big to Eat: Boosting Analytics Data Ingestion from Object Stores with Scoop. ICDE (2017)
Gil Vernik, Michael Factor, Elliot K. Kolodner, Effi Ofer, Pietro Michiardi, Francesco Pace
Stocator: a high performance object store connector for spark. SYSTOR (2017)
Giovanni Neglia, Damiano Carra, Mingdong Feng, Vaishnav Janardhan, Pietro Michiardi, Dimitra Tsigkari
Access-Time-Aware Cache Algorithms. ACM Trans. Model. Perform. Evaluation Comput. Syst. 2 (4) (2017)
Yongchao Tian, Ioannis Alagiannis, Erietta Liarou, Anastasia Ailamaki, Pietro Michiardi, Marko Vukolic
DiNoDB: An Interactive-Speed Query Engine for Ad-Hoc Queries on Temporary Data. IEEE Trans. Big Data 3 (3) (2017)
Francesco Pace, Daniele Venzano, Damiano Carra, Pietro Michiardi
Flexible Scheduling of Distributed Analytic Applications. CCGrid (2017)
Thibault Debatty, Pietro Michiardi, Wim Mees
Fast Online k-nn Graph Building. CoRR (2016)
Matteo Dell'Amico, Damiano Carra, Pietro Michiardi
PSBS: Practical Size-Based Scheduling. IEEE Trans. Computers 65 (7) (2016)
Yongchao Tian, Pietro Michiardi, Marko Vukolic
Bleach: A Distributed Stream Data Cleaning System. CoRR (2016)
Alessandro Lulli, Lorenzo Gabrielli, Patrizio Dazzi, Matteo Dell'Amico, Pietro Michiardi, Mirco Nanni, Laura Ricci
Improving population estimation from mobile calls: A clustering approach. ISCC (2016)
Alessandro Lulli, Matteo Dell'Amico, Pietro Michiardi, Laura Ricci
NG-DBSCAN: Scalable Density-Based Clustering for Arbitrary Data. Proc. VLDB Endow. 10 (3) (2016)
Raúl Gracia Tinedo, Pedro García López, Marc Sánchez Artigas, Josep Sampé, Yosef Moatti, Eran Rom, Dalit Naor, Ramon Nou, Toni Cortes, William Oppermann, Pietro Michiardi
IOStack: Software-Defined Object Storage. IEEE Internet Comput. 20 (3) (2016)
Yongchao Tian, Ioannis Alagiannis, Erietta Liarou, Anastasia Ailamaki, Pietro Michiardi, Marko Vukolic
DiNoDB: an Interactive-speed Query Engine for Ad-hoc Queries on Temporary Data. CoRR (2016)
Francesco Pace, Daniele Venzano, Damiano Carra, Pietro Michiardi
Flexible Scheduling of Distributed Analytic Applications. CoRR (2016)
Thibault Debatty, Fabio Pulvirenti, Pietro Michiardi, Wim Mees
Fast distributed k-nn graph update. IEEE BigData (2016)
Francesco Pace, Marco Milanesio, Daniele Venzano, Damiano Carra, Pietro Michiardi
Experimental Performance Evaluation of Cloud-Based Analytics-as-a-Service. CoRR (2016)
Giovanni Neglia, Damiano Carra, Mingdong Feng, Vaishnav Janardhan, Pietro Michiardi, Dimitra Tsigkari
Access-Time Aware Cache Algorithms. ITC (2016)
Francesco Pace, Marco Milanesio, Daniele Venzano, Damiano Carra, Pietro Michiardi
Experimental Performance Evaluation of Cloud-Based Analytics-as-a-Service. CLOUD (2016)
Duy-Hung Phan, Pietro Michiardi
A novel, low-latency algorithm for multiple Group-By query optimization. ICDE (2016)
Matteo Dell'Amico, Maurizio Filippone, Pietro Michiardi, Yves Roudier
On User Availability Prediction and Network Applications. IEEE/ACM Trans. Netw. 23 (4) (2015)

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Publication Activity (10 Years)

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Pietro Michiardi