Dominique F. Chu

51 papers A 1B 4C 3Journal 32Unranked 9
YearRankTypeTitle / Venue / Authors
2025 J jnl
Information theoretical properties of a spiking neuron trained with Hebbian and STDP learning rules.
Nat. Comput.
Dominique F. Chu
2024 J jnl
Low-variance Forward Gradients using Direct Feedback Alignment and momentum.
Neural Networks
Florian Bacho, Dominique F. Chu
2024 J jnl
Random feedback alignment algorithms to train neural networks: why do they align?
Mach. Learn. Sci. Technol.
Dominique F. Chu, Florian Bacho
2023 J jnl
Exploring Trade-Offs in Spiking Neural Networks.
Neural Comput.
Florian Bacho, Dominique F. Chu
2023 J jnl
Random Feedback Alignment Algorithms to train Neural Networks: Why do they Align?
CoRR
Dominique F. Chu, Florian Bacho
2022 J jnl
Directional Direct Feedback Alignment: Estimating Backpropagation Paths for Efficient Learning on Neural Processors.
CoRR
Florian Bacho, Dominique F. Chu
2022 J jnl
Exact Error Backpropagation Through Spikes for Precise Training of Spiking Neural Networks.
CoRR
Florian Bacho, Dominique F. Chu
2022 — conf
Incremental Neural Synthesis for Spiking Neural Networks.
SSCI
Huy Le Nguyen, Dominique F. Chu
2022 J jnl
Programming molecular systems to emulate a learning spiking neuron.
CoRR
Jakub Fil, Neil Dalchau, Dominique F. Chu
2021 — conf
Automatic Information Extraction from Electronic Documents Using Machine Learning.
SGAI Conf.
Nishanthan Kamaleson, Dominique F. Chu, Fernando E. B. Otero
2021 J jnl
Constraints on Hebbian and STDP learned weights of a spiking neuron.
Neural Networks
Dominique F. Chu, Huy Le Nguyen
2021 — conf
Integrate-and-Fire Neurons for Low-Powered Pattern Recognition.
ICAISC (1)
Florian Bacho, Dominique F. Chu
2021 J jnl
Integrate-and-Fire Neurons for Low-Powered Pattern Recognition.
CoRR
Florian Bacho, Dominique F. Chu
2021 J jnl
Linear Constraints Learning for Spiking Neurons.
CoRR
Huy Le Nguyen, Dominique F. Chu
2020 J jnl
A thermodynamically consistent chemical spiking neuron capable of autonomous Hebbian learning.
CoRR
Jakub Fil, Dominique F. Chu
2020 J jnl
Constraints on Hebbian and STDP learned weights of a spiking neuron.
CoRR
Dominique F. Chu, Huy Le Nguyen
2020 J jnl
Minimal Spiking Neuron for Solving Multilabel Classification Tasks.
Neural Comput.
Jakub Fil, Dominique F. Chu
2020 J jnl
Minimal spiking neuron for solving multi-label classification tasks.
CoRR
Jakub Fil, Dominique F. Chu
2015 — conf
An Ansatz for a Theory of Living Systems.
SSCI
Dominique F. Chu, David J. Barnes
2015 J jnl
Evolutionary Pressures on the Yeast Transcriptome.
IEEE ACM Trans. Comput. Biol. Bioinform.
Dominique F. Chu, Anton Salykin
2015 — conf
Evolving strategies for single-celled organisms in multi-nutrient environments.
ECAL
Dominique F. Chu, David J. Barnes
2015 — book
Guide to Simulation and Modeling for Biosciences, Second Edition
David J. Barnes, Dominique F. Chu
2014 J jnl
Amorphous computing in the presence of stochastic disturbances.
Biosyst.
Dominique F. Chu, David J. Barnes, Samuel Perkins
2014 J jnl
Charting the dynamics of translation.
Biosyst.
Dominique F. Chu, James Thompson, Tobias von der Haar
2014 C conf
Evolving Biological Systems: Evolutionary Pressure to Inefficiency.
ALIFE
Dominique F. Chu, David J. Barnes
2014 — conf
Evolving Parameters for a Noisy Biological System - The Impact of Alternative Approaches.
ICAISC (2)
David J. Barnes, Dominique F. Chu
2013 J jnl
Adaptive Neuromorphic Architecture (ANA).
Neural Networks
Frank Zhigang Wang, Leon O. Chua, Xiao Yang, Na Helian, Ronald Tetzlaff, Torsten Schmidt, Caroline Li, José Manuel García Carrasco, Wanlong Chen, Dominique F. Chu
2013 C conf
Evolving parameters for a noisy bio-system.
ALIFE
Dominique F. Chu
2013 B conf
Replaying the tape of evolution: Evolving parameters for a simple bacterial metabolism.
IEEE Congress on Evolutionary Computation
Dominique F. Chu
2012 J jnl
A novel and versatile computational tool to model translation.
Bioinform.
Dominique F. Chu, Nicolae Radu Zabet, Tobias von der Haar
2011 J jnl
Complexity: against systems.
Theory Biosci.
Dominique F. Chu
2011 J jnl
Optimal parameter settings for information processing in gene regulatory networks.
Biosyst.
Dominique F. Chu, Nicolae Radu Zabet, Andrew N. W. Hone
2011 — conf
Walking, hopping and jumping: a model of transcription factor dynamics on DNA.
ECAL
David J. Barnes, Dominique F. Chu
2010 C conf
Design Principles of Transcriptional Logic Circuits.
ALIFE
Nicolae Radu Zabet, Andrew N. W. Hone, Dominique F. Chu
2009 J jnl
Evolving novelty detectors for specific applications.
Neurocomputing
Simon J. Haggett, Dominique F. Chu
2009 B conf
Group selection vs multi-level selection: Some example models using evolutionary games.
IEEE Congress on Evolutionary Computation
Dominique F. Chu, David J. Barnes
2009 J jnl
Modes of evolution in a parasite-host interaction: Dis-entangling factors determining the evolution of regulated fimbriation in E. coli.
Biosyst.
Dominique F. Chu
2008 J jnl
Criteria for Conceptual and Operational Notions of Complexity.
Artif. Life
Dominique F. Chu
2008 B conf
Crossover operators to control size growth in linear GP and variable length GAs.
IEEE Congress on Evolutionary Computation
Dominique F. Chu, Jonathan E. Rowe
2008 J jnl
Evolving a dynamic predictive coding mechanism for novelty detection.
Knowl. Based Syst.
Simon J. Haggett, Dominique F. Chu, Ian W. Marshall
2007 J jnl
Computational Realizations of Living Systems.
Artif. Life
Dominique F. Chu, Weng Kin Ho
2007 — conf
Evolving a Dynamic Predictive Coding Mechanism for Novelty Detection.
SGAI Conf.
Simon J. Haggett, Dominique F. Chu, Ian W. Marshall
2007 B conf
Evolving genetic regulatory networks for systems biology.
IEEE Congress on Evolutionary Computation
Dominique F. Chu
2007 J jnl
The Localization Hypothesis and Machines.
Artif. Life
Dominique F. Chu, Weng Kin Ho
2006 J jnl
A Category Theoretical Argument against the Possibility of Artificial Life: Robert Rosen's Central Proof Revisited.
Artif. Life
Dominique F. Chu, Weng Kin Ho
2005 — conf
A Fitness-Landscape for the Evolution of Uptake Signal Sequences on Bacterial DNA.
ECAL
Dominique F. Chu, Jonathan E. Rowe
2005 — ch.
Chapter 4 Approaching Perfect Mixing in a Simple Model of the Spread of an Infectious Disease.
Recent Advances in Artificial Life
Dominique F. Chu, Jonathan E. Rowe
2005 J jnl
Dynamical Hierarchies.
Artif. Life
Tom Lenaerts, Dominique F. Chu, Richard Watson
2005 J jnl
Evolution of DNA Uptake Signal Sequences.
Artif. Life
Dominique F. Chu, Hoong-Chien Lee, Tom Lenaerts
2004 A conf
Spread of Vector Borne Diseases in a Population with Spatial Structure.
PPSN
Dominique F. Chu, Jonathan E. Rowe
2003 J jnl
Theories of complexity.
Complex.
Dominique F. Chu, Roger Strand, Ragnar Fjelland