Paul Irofti

According to our database, Paul Irofti authored at least 30 papers between 2014 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Learning Explicitly Conditioned Sparsifying Transforms.

Andrei Patrascu, Cristian Rusu, Paul Irofti

CoRR, 2024

2023

Nodal Hydraulic Head Estimation through Unscented Kalman Filter for Data-driven Leak Localization in Water Networks.

Luis Romero-Ben, Paul Irofti, Florin Stoican, Vicenç Puig

CoRR, 2023

Learning Dictionaries from Physical-Based Interpolation for Water Network Leak Localization.

Paul Irofti, Luis Romero-Ben, Florin Stoican, Vicenç Puig

CoRR, 2023

OpenBSD Formal Driver Verification with SeL4.

Adriana Nicolae, Paul Irofti, Ioana Leustean

Proceedings of the Innovative Security Solutions for Information Technology and Communications, 2023

Pinky: A Modern Malware-Oriented Dynamic Information Retrieval Tool.

Paul Irofti

Proceedings of the Innovative Security Solutions for Information Technology and Communications, 2023

Software Mitigation of RISC-V Spectre Attacks.

Ruxandra Balucea, Paul Irofti

Proceedings of the Innovative Security Solutions for Information Technology and Communications, 2023

2022

On finite termination of an inexact Proximal Point algorithm.

Andrei Patrascu, Paul Irofti

Appl. Math. Lett., 2022

Unsupervised Abnormal Traffic Detection through Topological Flow Analysis.

Paul Irofti, Andrei Patrascu, Andrei Iulian Hîji

Proceedings of the 14th International Conference on Communications, 2022

Dictionary Learning with Uniform Sparse Representations for Anomaly Detection.

Paul Irofti, Cristian Rusu, Andrei Patrascu

Proceedings of the IEEE International Conference on Acoustics, 2022

Data-driven Leak Localization in Water Distribution Networks via Dictionary Learning and Graph-based Interpolation.

Paul Irofti, Luis Romero-Ben, Florin Stoican, Vicenç Puig

Proceedings of the IEEE Conference on Control Technology and Applications, 2022

2021

Stochastic proximal splitting algorithm for composite minimization.

Andrei Patrascu, Paul Irofti

Optim. Lett., 2021

Computational complexity of Inexact Proximal Point Algorithm for Convex Optimization under Holderian Growth.

Andrei Patrascu, Paul Irofti

CoRR, 2021

Efficient and Parallel Separable Dictionary Learning.

Cristian Rusu, Paul Irofti

Proceedings of the 27th IEEE International Conference on Parallel and Distributed Systems, 2021

2020

Stochastic Proximal Gradient Algorithm with Minibatches. Application to Large Scale Learning Models.

Andrei Patrascu, Ciprian Paduraru, Paul Irofti

CoRR, 2020

Fault Handling in Large Water Networks with Online Dictionary Learning.

Paul Irofti, Florin Stoican, Vicenç Puig

CoRR, 2020

Unsupervised Dictionary Learning for Anomaly Detection.

Paul Irofti, Andra Baltoiu

CoRR, 2020

2019

Stochastic proximal splitting algorithm for stochastic composite minimization.

Andrei Patrascu, Paul Irofti

CoRR, 2019

Community-Level Anomaly Detection for Anti-Money Laundering.

Andra Baltoiu, Andrei Patrascu, Paul Irofti

CoRR, 2019

Fraud Detection in Networks: State-of-the-art.

Paul Irofti, Andrei Patrascu, Andra Baltoiu

CoRR, 2019

Aiding Dictionary Learning Through Multi-Parametric Sparse Representation.

Florin Stoican, Paul Irofti

Algorithms, 2019

Pairwise Approximate K-SVD.

Paul Irofti, Bogdan Dumitrescu

Proceedings of the IEEE International Conference on Acoustics, 2019

Malware Identification with Dictionary Learning.

Paul Irofti, Andra Baltoiu

Proceedings of the 27th European Signal Processing Conference, 2019

2017

Regularized K-SVD.

Bogdan Dumitrescu, Paul Irofti

IEEE Signal Process. Lett., 2017

2016

Proceedings of the third "international Traveling Workshop on Interactions between Sparse models and Technology" (iTWIST'16).

Vinayak Abrol, Olivier Absil, Pierre-Antoine Absil, Sandrine Anthoine, Philippe Antoine, Thomas Arildsen, Nancy Bertin, Folkert Bleichrodt, Jérôme Bobin, Anne Bol, Antoine Bonnefoy, Francesco Caltagirone, Valerio Cambareri, Cecile Chenot, Vladimir S. Crnojevic, Marie Danková, Kévin Degraux, Jens Eisert, Mohamed-Jalal Fadili, Marylou Gabrié, Nicolas Gac, Daniele Giacobello, Carlos A. Gomez Gonzalez, Adriana Gonzalez, Pierre-Yves Gousenbourger, Mads Græsbøll Christensen, Rémi Gribonval, Stéphanie Guérit, Shaoguang Huang, Paul Irofti, Laurent Jacques, Ulugbek S. Kamilov, Srdan Kitic, Martin Kliesch, Florent Krzakala, John A. Lee, Wenzhi Liao, Tobias Lindstrøm Jensen, Andre Manoel, Hassan Mansour, Ali Mohammad-Djafari, Amirafshar Moshtaghpour, Fred Maurice Ngolè Mboula, Benoît Pairet, Marko Panic, Gabriel Peyré, Aleksandra Pizurica, Pavel Rajmic, Matthieu Roblin, Ingo Roth, Anil Kumar Sao, Pulkit Sharma, Jean-Luc Starck, Eric W. Tramel, Toon van Waterschoot, Dejan Vukobratovic, Li Wang, Benedikt Wirth, Gerhard Wunder, Hongyan Zhang

CoRR, 2016

Overcomplete dictionary learning with Jacobi atom updates.

Paul Irofti, Bogdan Dumitrescu

Proceedings of the 39th International Conference on Telecommunications and Signal Processing, 2016

Low dimensional subspace finding via size-reducing dictionary learning.

Bogdan Dumitrescu, Paul Irofti

Proceedings of the 26th IEEE International Workshop on Machine Learning for Signal Processing, 2016

Regularized algorithms for dictionary learning.

Paul Irofti, Bogdan Dumitrescu

Proceedings of the International Conference on Communications, 2016

2015

Overcomplete Dictionary Design: The Impact of the Sparse Representation Algorithm.

Paul Irofti, Bogdan Dumitrescu

Proceedings of the 20th International Conference on Control Systems and Computer Science, 2015

2014

Efficient GPU Implementation for Single Block Orthogonal Dictionary Learning.

Paul Irofti

CoRR, 2014

GPU parallel implementation of the approximate K-SVD algorithm using OpenCL.

Paul Irofti, Bogdan Dumitrescu

Proceedings of the 22nd European Signal Processing Conference, 2014