Pietro Michiardi

Orcid: 0000-0003-4675-7677

Affiliations:
  • Eurecom, France


According to our database1, Pietro Michiardi authored at least 143 papers between 2002 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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Online presence:

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Bibliography

2024
Multi-Modal Latent Diffusion.
Entropy, April, 2024

Latent Abstractions in Generative Diffusion Models.
CoRR, 2024

Fine-grained Attention in Hierarchical Transformers for Tabular Time-series.
CoRR, 2024

Information Theoretic Text-to-Image Alignment.
CoRR, 2024

Data Augmentation for Traffic Classification.
Proceedings of the Passive and Active Measurement - 25th International Conference, 2024

SΩI: Score-based O-INFORMATION Estimation.
Proceedings of the Forty-first International Conference on Machine Learning, 2024

MINDE: Mutual Information Neural Diffusion Estimation.
Proceedings of the Twelfth International Conference on Learning Representations, 2024

2023
How Much Is Enough? A Study on Diffusion Times in Score-Based Generative Models.
Entropy, April, 2023

A Flexible Heuristic to Schedule Distributed Analytic Applications in Compute Clusters.
IEEE Trans. Cloud Comput., 2023

Continuous-Time Functional Diffusion Processes.
CoRR, 2023

"It's a Match!" - A Benchmark of Task Affinity Scores for Joint Learning.
CoRR, 2023

One-Line-of-Code Data Mollification Improves Optimization of Likelihood-based Generative Models.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Continuous-Time Functional Diffusion Processes.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Toward Generative Data Augmentation for Traffic Classification.
Proceedings of the on CoNEXT Student Workshop 2023, 2023

Multi-View Latent Diffusion.
Proceedings of the IEEE International Conference on Big Data, 2023

2022
Do deep neural networks contribute to multivariate time series anomaly detection?
Pattern Recognit., 2022

Safer Autonomous Driving in a Stochastic, Partially-Observable Environment by Hierarchical Contingency Planning.
CoRR, 2022

Automatically Learning Fallback Strategies with Model-Free Reinforcement Learning in Safety-Critical Driving Scenarios.
Proceedings of the ICMLT 2022: 7th International Conference on Machine Learning Technologies, Rome, Italy, March 11, 2022

Revisiting the Effects of Stochasticity for Hamiltonian Samplers.
Proceedings of the International Conference on Machine Learning, 2022

2021
Cache-Based Multi-Query Optimization for Data-Intensive Scalable Computing Frameworks.
Inf. Syst. Frontiers, 2021

A Scalable Bayesian Sampling Method Based on Stochastic Gradient Descent Isotropization.
Entropy, 2021

Optimization Strategies in Multi-Task Learning: Averaged or Separated Losses?
CoRR, 2021

A Unified View of Stochastic Hamiltonian Sampling.
CoRR, 2021

Generative DNA: Representation Learning for DNA-based Approximate Image Storage.
Proceedings of the International Conference on Visual Communications and Image Processing, 2021

Model Selection for Bayesian Autoencoders.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Multimodal Variational Autoencoders for Sensor Fusion and Cross Generation.
Proceedings of the 20th IEEE International Conference on Machine Learning and Applications, 2021

Sparse within Sparse Gaussian Processes using Neighbor Information.
Proceedings of the 38th International Conference on Machine Learning, 2021

An Identifiable Double VAE For Disentangled Representations.
Proceedings of the 38th International Conference on Machine Learning, 2021

Towards a generic deep learning pipeline for traffic measurements.
Proceedings of the CoNEXT-SW '21: Proceedings of the CoNEXT Student Workshop, 2021

Maximum Roaming Multi-Task Learning.
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020
Elastic Provisioning of Cloud Caches: A Cost-Aware TTL Approach.
IEEE/ACM Trans. Netw., 2020

Learning Optimal Conditional Priors For Disentangled Representations.
CoRR, 2020

Isotropic SGD: a Practical Approach to Bayesian Posterior Sampling.
CoRR, 2020

A Variational View on Bootstrap Ensembles as Bayesian Inference.
CoRR, 2020

A comparative evaluation of novelty detection algorithms for discrete sequences.
Artif. Intell. Rev., 2020

Model Monitoring and Dynamic Model Selection in Travel Time-Series Forecasting.
Proceedings of the Machine Learning and Knowledge Discovery in Databases: Applied Data Science Track, 2020

USAD: UnSupervised Anomaly Detection on Multivariate Time Series.
Proceedings of the KDD '20: The 26th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2020

LIBRE: Learning Interpretable Boolean Rule Ensembles.
Proceedings of the 23rd International Conference on Artificial Intelligence and Statistics, 2020

2019
Memory Partitioning and Management in Memcached.
IEEE Trans. Serv. Comput., 2019

Network level perspective in web sessions troubleshooting.
Int. J. Commun. Syst., 2019

Sparsification as a Remedy for Staleness in Distributed Asynchronous SGD.
CoRR, 2019

Exact gaussian process regression with distributed computations.
Proceedings of the 34th ACM/SIGAPP Symposium on Applied Computing, 2019

TTL-based Cloud Caches.
Proceedings of the 2019 IEEE Conference on Computer Communications, 2019

Good Initializations of Variational Bayes for Deep Models.
Proceedings of the 36th International Conference on Machine Learning, 2019

In-memory Caching for Multi-query Optimization of Data-intensive Scalable Computing Workloads.
Proceedings of the Workshops of the EDBT/ICDT 2019 Joint Conference, 2019

Dynamic Resource Shaping for Compute Clusters.
Proceedings of the 2019 IEEE International Congress on Big Data, 2019

Calibrating Deep Convolutional Gaussian Processes.
Proceedings of the 22nd International Conference on Artificial Intelligence and Statistics, 2019

2018
Cache Policies for Linear Utility Maximization.
IEEE/ACM Trans. Netw., 2018

A comparative evaluation of outlier detection algorithms: Experiments and analyses.
Pattern Recognit., 2018

Deep Gaussian Process autoencoders for novelty detection.
Mach. Learn., 2018

A Data-Driven Approach to Dynamically Adjust Resource Allocation for Compute Clusters.
CoRR, 2018

Dirichlet-based Gaussian Processes for Large-scale Calibrated Classification.
Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018

Data-Driven Resource Shaping for Compute Clusters.
Proceedings of the ACM Symposium on Cloud Computing, 2018

Stocator: Providing High Performance and Fault Tolerance for Apache Spark Over Object Storage.
Proceedings of the 18th IEEE/ACM International Symposium on Cluster, 2018

2017
Access-Time-Aware Cache Algorithms.
ACM Trans. Model. Perform. Evaluation Comput. Syst., 2017

HFSP: Bringing Size-Based Scheduling To Hadoop.
IEEE Trans. Cloud Comput., 2017

DiNoDB: An Interactive-Speed Query Engine for Ad-Hoc Queries on Temporary Data.
IEEE Trans. Big Data, 2017

Scalable and flexible clustering solutions for mobile phone-based population indicators.
Int. J. Data Sci. Anal., 2017

A Parallel MapReduce Algorithm to Efficiently Support Itemset Mining on High Dimensional Data.
Big Data Res., 2017

Stocator: a high performance object store connector for spark.
Proceedings of the 10th ACM International Systems and Storage Conference, 2017

Random Feature Expansions for Deep Gaussian Processes.
Proceedings of the 34th International Conference on Machine Learning, 2017

Too Big to Eat: Boosting Analytics Data Ingestion from Object Stores with Scoop.
Proceedings of the 33rd IEEE International Conference on Data Engineering, 2017

Stocator: an object store aware connector for apache spark.
Proceedings of the 2017 Symposium on Cloud Computing, SoCC 2017, Santa Clara, CA, USA, 2017

Flexible Scheduling of Distributed Analytic Applications.
Proceedings of the 17th IEEE/ACM International Symposium on Cluster, 2017

Bleach: A Distributed Stream Data Cleaning System.
Proceedings of the 2017 IEEE International Congress on Big Data, 2017

Resource Management for Parallel Processing Frameworks with Load Awareness at Worker Side.
Proceedings of the 2017 IEEE International Congress on Big Data, 2017

2016
PSBS: Practical Size-Based Scheduling.
IEEE Trans. Computers, 2016

NG-DBSCAN: Scalable Density-Based Clustering for Arbitrary Data.
Proc. VLDB Endow., 2016

IOStack: Software-Defined Object Storage.
IEEE Internet Comput., 2016

Fast Online k-nn Graph Building.
CoRR, 2016

Improving population estimation from mobile calls: A clustering approach.
Proceedings of the IEEE Symposium on Computers and Communication, 2016

A novel, low-latency algorithm for multiple Group-By query optimization.
Proceedings of the 32nd IEEE International Conference on Data Engineering, 2016

Fast distributed k-nn graph update.
Proceedings of the 2016 IEEE International Conference on Big Data (IEEE BigData 2016), 2016

Experimental Performance Evaluation of Cloud-Based Analytics-as-a-Service.
Proceedings of the 9th IEEE International Conference on Cloud Computing, 2016

2015
On User Availability Prediction and Network Applications.
IEEE/ACM Trans. Netw., 2015

On Fair Size-Based Scheduling.
CoRR, 2015

Adaptive redundancy management for durable P2P backup.
Comput. Networks, 2015

Cost-based Memory Partitioning and Management in Memcached.
Proceedings of the 3rd VLDB Workshop on In-Memory Data Mangement and Analytics, 2015

Troubleshooting web sessions with CUSUM.
Proceedings of the International Wireless Communications and Mobile Computing Conference, 2015

PaMPa-HD: A Parallel MapReduce-Based Frequent Pattern Miner for High-Dimensional Data.
Proceedings of the IEEE International Conference on Data Mining Workshop, 2015

Scalable k-NN based text clustering.
Proceedings of the 2015 IEEE International Conference on Big Data (IEEE BigData 2015), Santa Clara, CA, USA, October 29, 2015

Efficient and Self-Balanced ROLLUP Aggregates for Large-Scale Data Summarization.
Proceedings of the 2015 IEEE International Congress on Big Data, New York City, NY, USA, June 27, 2015

2014
DiNoDB: Efficient Large-Scale Raw Data Analytics.
Proceedings of the First International Workshop on Bringing the Value of "Big Data" to Users, 2014

Revisiting Size-Based Scheduling with Estimated Job Sizes.
Proceedings of the IEEE 22nd International Symposium on Modelling, 2014

Scalable Graph Building from Text Data.
Proceedings of the 3rd International Workshop on Big Data, 2014

OS-Assisted Task Preemption for Hadoop.
Proceedings of the 34th International Conference on Distributed Computing Systems Workshops (ICDCS 2014 Workshops), Madrid, Spain, June 30, 2014

Memory partitioning in Memcached: An experimental performance analysis.
Proceedings of the IEEE International Conference on Communications, 2014

On the design space of MapReduce ROLLUP aggregates.
Proceedings of the Workshops of the EDBT/ICDT 2014 Joint Conference (EDBT/ICDT 2014), 2014

Determining the k in k-means with MapReduce.
Proceedings of the Workshops of the EDBT/ICDT 2014 Joint Conference (EDBT/ICDT 2014), 2014

On the impact of socio-economic factors on power load forecasting.
Proceedings of the 2014 IEEE International Conference on Big Data (IEEE BigData 2014), 2014

Building k-nn graphs from large text data.
Proceedings of the 2014 IEEE International Conference on Big Data (IEEE BigData 2014), 2014

2013
Characterization and Management of Popular Content in KAD.
IEEE Trans. Parallel Distributed Syst., 2013

On the Impact of Incentives in eMule {Analysis and Measurements of a Popular File-Sharing Application}.
IEEE J. Sel. Areas Commun., 2013

HFSP: The Hadoop Fair Sojourn Protocol
CoRR, 2013

A Measurement Study of Data-Intensive Network Traffic Patterns in a Private Cloud.
Proceedings of the IEEE/ACM 6th International Conference on Utility and Cloud Computing, 2013

Trend makers and trend spotters in a mobile application.
Proceedings of the Computer Supported Cooperative Work, 2013

HFSP: Size-based scheduling for Hadoop.
Proceedings of the 2013 IEEE International Conference on Big Data (IEEE BigData 2013), 2013

2012
Content Replication in Mobile Networks.
IEEE J. Sel. Areas Commun., 2012

Peer-assisted content distribution on a budget.
Comput. Networks, 2012

Spotting trends: the wisdom of the few.
Proceedings of the Sixth ACM Conference on Recommender Systems, 2012

Paying for Piracy? An Analysis of One-Click Hosters' Controversial Reward Schemes.
Proceedings of the Research in Attacks, Intrusions, and Defenses, 2012

A measurement study of the Wuala on-line storage service.
Proceedings of the 12th IEEE International Conference on Peer-to-Peer Computing, 2012

Redundancy management for P2P backup.
Proceedings of the IEEE INFOCOM 2012, Orlando, FL, USA, March 25-30, 2012, 2012

2011
On the Robustness of BitTorrent Swarms to Greedy Peers.
IEEE Trans. Parallel Distributed Syst., 2011

Analysis of user-driven peer selection in peer-to-peer backup and storage systems.
Telecommun. Syst., 2011

A scalable interest-oriented peer-to-peer pub/sub network.
Peer-to-Peer Netw. Appl., 2011

Content replication and placement in mobile networks
CoRR, 2011

On the impact of seed scheduling in peer-to-peer networks.
Comput. Networks, 2011

Data transfer scheduling for P2P storage.
Proceedings of the 2011 IEEE International Conference on Peer-to-Peer Computing, 2011

An empirical study of availability in friend-to-friend storage systems.
Proceedings of the 2011 IEEE International Conference on Peer-to-Peer Computing, 2011

Adaptive load balancing in KAD.
Proceedings of the 2011 IEEE International Conference on Peer-to-Peer Computing, 2011

2010
Distributed Network Formation for n-Way Broadcast Applications.
IEEE Trans. Parallel Distributed Syst., 2010

Back To The Future: On Predicting User Uptime
CoRR, 2010

On Scheduling and Redundancy for P2P Backup
CoRR, 2010

A Lightweight Distributed Solution to Content Replication in Mobile Networks.
Proceedings of the 2010 IEEE Wireless Communications and Networking Conference, 2010

Online Data Backup: A Peer-Assisted Approach.
Proceedings of the IEEE Tenth International Conference on Peer-to-Peer Computing, 2010

Parallel bulk insertion for large-scale analytics applications.
Proceedings of the 4th International Workshop on Large Scale Distributed Systems and Middleware, 2010

Password Strength: An Empirical Analysis.
Proceedings of the INFOCOM 2010. 29th IEEE International Conference on Computer Communications, 2010

2009
Confidentiality and integrity for data aggregation in WSN using peer monitoring.
Secur. Commun. Networks, 2009

Measuring Password Strength: An Empirical Analysis
CoRR, 2009

A Holistic Approach to Information Distribution in Ad Hoc Networks
CoRR, 2009

On a selfish caching game.
Proceedings of the 28th Annual ACM Symposium on Principles of Distributed Computing, 2009

Seed Scheduling for Peer-to-Peer Networks.
Proceedings of The Eighth IEEE International Symposium on Networking Computing and Applications, 2009

P2P cache-and-forward mechanisms for mobile ad hoc networks.
Proceedings of the 14th IEEE Symposium on Computers and Communications (ISCC 2009), 2009

Selfish Neighbor Selection in Peer-to-Peer Backup and Storage Applications.
Proceedings of the Euro-Par 2009 Parallel Processing, 2009

2008
Characterizing user mobility in second life.
Proceedings of the first Workshop on Online Social Networks, 2008

A dynamic exchange game.
Proceedings of the Twenty-Seventh Annual ACM Symposium on Principles of Distributed Computing, 2008

Gossip-based aggregate computation: computing faster with non address-oblivious schemes.
Proceedings of the Twenty-Seventh Annual ACM Symposium on Principles of Distributed Computing, 2008

On the Impact of Greedy Strategies in BitTorrent Networks: The Case of BitTyrant.
Proceedings of the Proceedings P2P'08, 2008

Swarming on Optimized Graphs for n-Way Broadcast.
Proceedings of the INFOCOM 2008. 27th IEEE International Conference on Computer Communications, 2008

Uplink allocation beyond choke/unchoke: or how to divide and conquer best.
Proceedings of the 2008 ACM Conference on Emerging Network Experiment and Technology, 2008

2007
A Game Theoretic Model of a Protocol for Data Possession Verification.
Proceedings of the 2007 International Symposium on a World of Wireless, 2007

Aggregation Dynamics in Service Overlay Networks.
Proceedings of the First International Conference on Self-Adaptive and Self-Organizing Systems, 2007

Modeling Seed Scheduling Strategies in BitTorrent.
Proceedings of the NETWORKING 2007. Ad Hoc and Sensor Networks, 2007

2006
Establishment of Ad-Hoc Communities through Policy-Based Cryptography.
Proceedings of the Second Workshop on Cryptography for Ad-hoc Networks, 2006

Identity Based Message Authentication for Dynamic Networks.
Proceedings of the Security and Privacy in Dynamic Environments, 2006

Impact of Inner Parameters and Overlay Structure on the Performance of BitTorrent.
Proceedings of the INFOCOM 2006. 25th IEEE International Conference on Computer Communications, 2006

Rarest first and choke algorithms are enough.
Proceedings of the 6th ACM SIGCOMM Internet Measurement Conference, 2006

2005
Analysis of coalition formation and cooperation strategies in mobile ad hoc networks.
Ad Hoc Networks, 2005

Non-cooperative Forwarding in Ad-Hoc Networks.
Proceedings of the NETWORKING 2005: Networking Technologies, 2005

2004
Some Game-Theoretic Problems in Wireless Ad-Hoc Networks.
Proceedings of the Wireless Systems and Mobility in Next Generation Internet, 2004

2003
Security in Ad Hoc Networks.
Proceedings of the Personal Wireless Communications, IFIP-TC6 8th International Conference, 2003

2002
Core: a collaborative reputation mechanism to enforce node cooperation in mobile ad hoc networks.
Proceedings of the Advanced Communications and Multimedia Security, 2002


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