Dorian Florescu

Orcid: 0000-0002-1169-674X

According to our database1, Dorian Florescu authored at least 19 papers between 2015 and 2024.

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

Timeline

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Bibliography

2024
Constrained Neural Networks for Interpretable Heuristic Creation to Optimise Computer Algebra Systems.
Proceedings of the Mathematical Software - ICMS 2024, 2024

2023
Unlimited Sampling of Bandpass Signals: Computational Demodulation via Undersampling.
IEEE Trans. Signal Process., 2023

2022
The Surprising Benefits of Hysteresis in Unlimited Sampling: Theory, Algorithms and Experiments.
IEEE Trans. Signal Process., 2022

Time Encoding via Unlimited Sampling: Theory, Algorithms and Hardware Validation.
IEEE Trans. Signal Process., 2022

Multi-Dimensional Unlimited Sampling and Robust Reconstruction.
CoRR, 2022

Unlimited Sampling via Generalized Thresholding.
Proceedings of the IEEE International Symposium on Information Theory, 2022

Modulo Event-Driven Sampling: System Identification and Hardware Experiments.
Proceedings of the IEEE International Conference on Acoustics, 2022

Unlimited Sampling with Local Averages.
Proceedings of the IEEE International Conference on Acoustics, 2022

2021
Event-Driven Modulo Sampling.
Proceedings of the IEEE International Conference on Acoustics, 2021

Unlimited Sampling with Hysteresis.
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.
Proceedings of the Mathematical Software - ICMS 2020, 2020

2019
Learning with Precise Spike Times: A New Decoding Algorithm for Liquid State Machines.
Neural Comput., 2019

Algorithmically Generating New Algebraic Features of Polynomial Systems for Machine Learning.
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.
Proceedings of the Intelligent Computer Mathematics - 12th International Conference, 2019

Machine Learning to Improve Cylindrical Algebraic Decomposition in Maple.
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.
Proceedings of the Mathematical Aspects of Computer and Information Sciences, 2019

2018
Identification of Linear and Nonlinear Sensory Processing Circuits from Spiking Neuron Data.
Neural Comput., 2018

2015
A Novel Reconstruction Framework for Time-Encoded Signals with Integrate-and-Fire Neurons.
Neural Comput., 2015

Implementation of linear filters in the spike domain.
Proceedings of the 14th European Control Conference, 2015


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