Dorian Florescu

According to our database, Dorian Florescu authored at least 19 papers between 2015 and 2024.

Collaborative distances:

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

2024

Constrained Neural Networks for Interpretable Heuristic Creation to Optimise Computer Algebra Systems.

Dorian Florescu, Matthew England

Proceedings of the Mathematical Software - ICMS 2024, 2024

2023

Unlimited Sampling of Bandpass Signals: Computational Demodulation via Undersampling.

Gal Shtendel, Dorian Florescu, Ayush Bhandari

IEEE Trans. Signal Process., 2023

2022

The Surprising Benefits of Hysteresis in Unlimited Sampling: Theory, Algorithms and Experiments.

Dorian Florescu, Felix Krahmer, Ayush Bhandari

IEEE Trans. Signal Process., 2022

Time Encoding via Unlimited Sampling: Theory, Algorithms and Hardware Validation.

Dorian Florescu, Ayush Bhandari

IEEE Trans. Signal Process., 2022

Multi-Dimensional Unlimited Sampling and Robust Reconstruction.

Dorian Florescu, Ayush Bhandari

CoRR, 2022

Unlimited Sampling via Generalized Thresholding.

Dorian Florescu, Ayush Bhandari

Proceedings of the IEEE International Symposium on Information Theory, 2022

Modulo Event-Driven Sampling: System Identification and Hardware Experiments.

Dorian Florescu, Ayush Bhandari

Proceedings of the IEEE International Conference on Acoustics, 2022

Unlimited Sampling with Local Averages.

Dorian Florescu, Ayush Bhandari

Proceedings of the IEEE International Conference on Acoustics, 2022

2021

Event-Driven Modulo Sampling.

Dorian Florescu, Felix Krahmer, Ayush Bhandari

Proceedings of the IEEE International Conference on Acoustics, 2021

Unlimited Sampling with Hysteresis.

Dorian Florescu, Felix Krahmer, Ayush Bhandari

Proceedings of the 55th Asilomar Conference on Signals, Systems, and Computers, 2021

2020

A Machine Learning Based Software Pipeline to Pick the Variable Ordering for Algorithms with Polynomial Inputs.

Dorian Florescu, Matthew England

Proceedings of the Mathematical Software - ICMS 2020, 2020

2019

Learning with Precise Spike Times: A New Decoding Algorithm for Liquid State Machines.

Dorian Florescu, Daniel Coca

Neural Comput., 2019

Algorithmically Generating New Algebraic Features of Polynomial Systems for Machine Learning.

Dorian Florescu, Matthew England

Proceedings of the 4th SC-Square Workshop co-located with the SIAM Conference on Applied Algebraic Geometry, 2019

Comparing Machine Learning Models to Choose the Variable Ordering for Cylindrical Algebraic Decomposition.

Matthew England, Dorian Florescu

Proceedings of the Intelligent Computer Mathematics - 12th International Conference, 2019

Machine Learning to Improve Cylindrical Algebraic Decomposition in Maple.

Matthew England, Dorian Florescu

Proceedings of the Maple in Mathematics Education and Research - Third Maple Conference, 2019

Improved Cross-Validation for Classifiers that Make Algorithmic Choices to Minimise Runtime Without Compromising Output Correctness.

Dorian Florescu, Matthew England

Proceedings of the Mathematical Aspects of Computer and Information Sciences, 2019

2018

Identification of Linear and Nonlinear Sensory Processing Circuits from Spiking Neuron Data.

Dorian Florescu, Daniel Coca

Neural Comput., 2018

2015

A Novel Reconstruction Framework for Time-Encoded Signals with Integrate-and-Fire Neurons.

Dorian Florescu, Daniel Coca

Neural Comput., 2015

Implementation of linear filters in the spike domain.

Dorian Florescu, Daniel Coca

Proceedings of the 14th European Control Conference, 2015