Dorian Florescu

29 papers B 1C 1Misc 4Journal 16Unranked 7
YearRankTypeTitle / Venue / Authors
2025 J jnl
A Generalized Approach for Recovering Time Encoded Signals With Finite Rate of Innovation.
IEEE Trans. Signal Process.
Dorian Florescu
2025 Misc conf
Multichannel Modulo Sampling with Unlimited Noise.
ICASSP
Dorian Florescu
2024 — conf
Constrained Neural Networks for Interpretable Heuristic Creation to Optimise Computer Algebra Systems.
ICMS
Dorian Florescu, Matthew England
2024 J jnl
Constrained Neural Networks for Interpretable Heuristic Creation to Optimise Computer Algebra Systems.
CoRR
Dorian Florescu, Matthew England
2023 J jnl
Unlimited Sampling of Bandpass Signals: Computational Demodulation via Undersampling.
CoRR
Gal Shtendel, Dorian Florescu, Ayush Bhandari
2023 J jnl
Unlimited Sampling of Bandpass Signals: Computational Demodulation via Undersampling.
IEEE Trans. Signal Process.
Gal Shtendel, Dorian Florescu, Ayush Bhandari
2022 Misc conf
Modulo Event-Driven Sampling: System Identification and Hardware Experiments.
ICASSP
Dorian Florescu, Ayush Bhandari
2022 J jnl
Multi-Dimensional Unlimited Sampling and Robust Reconstruction.
CoRR
Dorian Florescu, Ayush Bhandari
2022 J jnl
The Surprising Benefits of Hysteresis in Unlimited Sampling: Theory, Algorithms and Experiments.
IEEE Trans. Signal Process.
Dorian Florescu, Felix Krahmer, Ayush Bhandari
2022 J jnl
Time Encoding via Unlimited Sampling: Theory, Algorithms and Hardware Validation.
CoRR
Dorian Florescu, Ayush Bhandari
2022 J jnl
Time Encoding via Unlimited Sampling: Theory, Algorithms and Hardware Validation.
IEEE Trans. Signal Process.
Dorian Florescu, Ayush Bhandari
2022 B conf
Unlimited Sampling via Generalized Thresholding.
ISIT
Dorian Florescu, Ayush Bhandari
2022 Misc conf
Unlimited Sampling with Local Averages.
ICASSP
Dorian Florescu, Ayush Bhandari
2021 Misc conf
Event-Driven Modulo Sampling.
ICASSP
Dorian Florescu, Felix Krahmer, Ayush Bhandari
2021 J jnl
The Surprising Benefits of Hysteresis in Unlimited Sampling: Theory, Algorithms and Experiments.
CoRR
Dorian Florescu, Felix Krahmer, Ayush Bhandari
2021 — conf
Unlimited Sampling with Hysteresis.
ACSCC
Dorian Florescu, Felix Krahmer, Ayush Bhandari
2020 — conf
A Machine Learning Based Software Pipeline to Pick the Variable Ordering for Algorithms with Polynomial Inputs.
ICMS
Dorian Florescu, Matthew England
2020 J jnl
A machine learning based software pipeline to pick the variable ordering for algorithms with polynomial inputs.
CoRR
Dorian Florescu, Matthew England
2019 — conf
Algorithmically Generating New Algebraic Features of Polynomial Systems for Machine Learning.
SC-square@SIAM AG
Dorian Florescu, Matthew England
2019 J jnl
Algorithmically generating new algebraic features of polynomial systems for machine learning.
CoRR
Dorian Florescu, Matthew England
2019 C conf
Comparing Machine Learning Models to Choose the Variable Ordering for Cylindrical Algebraic Decomposition.
CICM
Matthew England, Dorian Florescu
2019 J jnl
Comparing machine learning models to choose the variable ordering for cylindrical algebraic decomposition.
CoRR
Matthew England, Dorian Florescu
2019 — conf
Improved Cross-Validation for Classifiers that Make Algorithmic Choices to Minimise Runtime Without Compromising Output Correctness.
MACIS
Dorian Florescu, Matthew England
2019 J jnl
Improved cross-validation for classifiers that make algorithmic choices to minimise runtime without compromising output correctness.
CoRR
Dorian Florescu, Matthew England
2019 J jnl
Learning with Precise Spike Times: A New Decoding Algorithm for Liquid State Machines.
Neural Comput.
Dorian Florescu, Daniel Coca
2019 — conf
Machine Learning to Improve Cylindrical Algebraic Decomposition in Maple.
MC
Matthew England, Dorian Florescu
2018 J jnl
Identification of Linear and Nonlinear Sensory Processing Circuits from Spiking Neuron Data.
Neural Comput.
Dorian Florescu, Daniel Coca
2015 J jnl
A Novel Reconstruction Framework for Time-Encoded Signals with Integrate-and-Fire Neurons.
Neural Comput.
Dorian Florescu, Daniel Coca
2015 — conf
Implementation of linear filters in the spike domain.
ECC
Dorian Florescu, Daniel Coca