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Dominique F. Chu
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2020 – today
- 2024
- [j21]Florian Bacho
, Dominique F. Chu
Low-variance Forward Gradients using Direct Feedback Alignment and momentum. Neural Networks 169: 572-583 (2024) - 2023
- [j20]Florian Bacho, Dominique F. Chu:
Exploring Trade-Offs in Spiking Neural Networks. Neural Comput. 35(10): 1627-1656 (2023) - [i9]Dominique F. Chu, Florian Bacho:
Random Feedback Alignment Algorithms to train Neural Networks: Why do they Align? CoRR abs/2306.02325 (2023) - 2022
- [c17]Huy Le Nguyen
Incremental Neural Synthesis for Spiking Neural Networks. SSCI 2022: 649-656 - [i8]Jakub Fil, Neil Dalchau, Dominique F. Chu:
Programming molecular systems to emulate a learning spiking neuron. CoRR abs/2206.02519 (2022) - [i7]Florian Bacho, Dominique F. Chu:
Directional Direct Feedback Alignment: Estimating Backpropagation Paths for Efficient Learning on Neural Processors. CoRR abs/2212.07282 (2022) - [i6]Florian Bacho, Dominique F. Chu:
Exact Error Backpropagation Through Spikes for Precise Training of Spiking Neural Networks. CoRR abs/2212.09500 (2022) - 2021
- [j19]Dominique F. Chu
Constraints on Hebbian and STDP learned weights of a spiking neuron. Neural Networks 135: 192-200 (2021) - [c16]Florian Bacho, Dominique F. Chu:
Integrate-and-Fire Neurons for Low-Powered Pattern Recognition. ICAISC (1) 2021: 29-40 - [c15]Nishanthan Kamaleson, Dominique F. Chu, Fernando E. B. Otero:
Automatic Information Extraction from Electronic Documents Using Machine Learning. SGAI Conf. 2021: 183-194 - [i5]Huy Le Nguyen, Dominique F. Chu:
Linear Constraints Learning for Spiking Neurons. CoRR abs/2103.12564 (2021) - [i4]Florian Bacho, Dominique F. Chu:
Integrate-and-Fire Neurons for Low-Powered Pattern Recognition. CoRR abs/2106.14596 (2021) - 2020
- [j18]Jakub Fil, Dominique F. Chu:
Minimal Spiking Neuron for Solving Multilabel Classification Tasks. Neural Comput. 32(7): 1408-1429 (2020) - [i3]Jakub Fil
Minimal spiking neuron for solving multi-label classification tasks. CoRR abs/2003.02902 (2020) - [i2]Jakub Fil, Dominique F. Chu:
A thermodynamically consistent chemical spiking neuron capable of autonomous Hebbian learning. CoRR abs/2009.13207 (2020) - [i1]Dominique F. Chu, Huy Le Nguyen:
Constraints on Hebbian and STDP learned weights of a spiking neuron. CoRR abs/2012.07664 (2020)
2010 – 2019
- 2015
- [b1]David J. Barnes, Dominique F. Chu:
Guide to Simulation and Modeling for Biosciences, Second Edition. Simulation Foundations, Methods and Applications, Springer 2015, ISBN 978-1-4471-6761-7, pp. 1-324 - [j17]Dominique F. Chu, Anton Salykin:
Evolutionary Pressures on the Yeast Transcriptome. IEEE ACM Trans. Comput. Biol. Bioinform. 12(5): 1087-1093 (2015) - [c14]Dominique F. Chu, David J. Barnes:
Evolving strategies for single-celled organisms in multi-nutrient environments. ECAL 2015: 226-233 - [c13]Dominique F. Chu, David J. Barnes:
An Ansatz for a Theory of Living Systems. SSCI 2015: 1087-1093 - 2014
- [j16]Dominique F. Chu, James Thompson, Tobias von der Haar
Charting the dynamics of translation. Biosyst. 119: 1-9 (2014) - [j15]Dominique F. Chu, David J. Barnes, Samuel Perkins:
Amorphous computing in the presence of stochastic disturbances. Biosyst. 125: 32-42 (2014) - [c12]Dominique F. Chu, David J. Barnes:
Evolving Biological Systems: Evolutionary Pressure to Inefficiency. ALIFE 2014: 89-96 - [c11]David J. Barnes, Dominique F. Chu:
Evolving Parameters for a Noisy Biological System - The Impact of Alternative Approaches. ICAISC (2) 2014: 95-106 - 2013
- [j14]Frank Zhigang Wang, Leon O. Chua, Xiao Yang, Na Helian
Adaptive Neuromorphic Architecture (ANA). Neural Networks 45: 111-116 (2013) - [c10]Dominique F. Chu:
Replaying the tape of evolution: Evolving parameters for a simple bacterial metabolism. IEEE Congress on Evolutionary Computation 2013: 213-220 - [c9]Dominique F. Chu:
Evolving parameters for a noisy bio-system. ALIFE 2013: 13-20 - 2012
- [j13]Dominique F. Chu, Nicolae Radu Zabet
A novel and versatile computational tool to model translation. Bioinform. 28(2): 292-293 (2012) - 2011
- [j12]Dominique F. Chu, Nicolae Radu Zabet
Optimal parameter settings for information processing in gene regulatory networks. Biosyst. 104(2-3): 99-108 (2011) - [j11]Dominique F. Chu:
Complexity: against systems. Theory Biosci. 130(3): 229-245 (2011) - [c8]David J. Barnes, Dominique F. Chu:
Walking, hopping and jumping: a model of transcription factor dynamics on DNA. ECAL 2011: 63-68 - 2010
- [c7]Nicolae Radu Zabet, Andrew N. W. Hone, Dominique F. Chu:
Design Principles of Transcriptional Logic Circuits. ALIFE 2010: 186-193
2000 – 2009
- 2009
- [j10]Dominique F. Chu:
Modes of evolution in a parasite-host interaction: Dis-entangling factors determining the evolution of regulated fimbriation in E. coli. Biosyst. 95(1): 67-74 (2009) - [j9]Simon J. Haggett, Dominique F. Chu:
Evolving novelty detectors for specific applications. Neurocomputing 72(10-12): 2392-2405 (2009) - [c6]Dominique F. Chu, David J. Barnes:
Group selection vs multi-level selection: Some example models using evolutionary games. IEEE Congress on Evolutionary Computation 2009: 808-814 - 2008
- [j8]Dominique F. Chu:
Criteria for Conceptual and Operational Notions of Complexity. Artif. Life 14(3): 313-323 (2008) - [j7]Simon J. Haggett, Dominique F. Chu, Ian W. Marshall:
Evolving a dynamic predictive coding mechanism for novelty detection. Knowl. Based Syst. 21(3): 217-224 (2008) - [c5]Dominique F. Chu, Jonathan E. Rowe:
Crossover operators to control size growth in linear GP and variable length GAs. IEEE Congress on Evolutionary Computation 2008: 336-343 - 2007
- [j6]Dominique F. Chu, Weng Kin Ho
The Localization Hypothesis and Machines. Artif. Life 13(3): 299-302 (2007) - [j5]Dominique F. Chu, Weng Kin Ho
Computational Realizations of Living Systems. Artif. Life 13(4): 369-381 (2007) - [c4]Dominique F. Chu:
Evolving genetic regulatory networks for systems biology. IEEE Congress on Evolutionary Computation 2007: 875-882 - [c3]Simon J. Haggett, Dominique F. Chu, Ian W. Marshall:
Evolving a Dynamic Predictive Coding Mechanism for Novelty Detection. SGAI Conf. 2007: 167-180 - 2006
- [j4]Dominique F. Chu, Weng Kin Ho:
A Category Theoretical Argument against the Possibility of Artificial Life: Robert Rosen's Central Proof Revisited. Artif. Life 12(1): 117-134 (2006) - 2005
- [j3]Dominique F. Chu, Hoong-Chien Lee, Tom Lenaerts
Evolution of DNA Uptake Signal Sequences. Artif. Life 11(3): 317-338 (2005) - [j2]Tom Lenaerts
Dynamical Hierarchies. Artif. Life 11(4): 403-405 (2005) - [c2]Dominique F. Chu, Jonathan E. Rowe:
A Fitness-Landscape for the Evolution of Uptake Signal Sequences on Bacterial DNA. ECAL 2005: 845-853 - [p1]Dominique F. Chu, Jonathan E. Rowe:
Chapter 4 Approaching Perfect Mixing in a Simple Model of the Spread of an Infectious Disease. Recent Advances in Artificial Life 2005 - 2004
- [c1]Dominique F. Chu, Jonathan E. Rowe:
Spread of Vector Borne Diseases in a Population with Spatial Structure. PPSN 2004: 222-231 - 2003
- [j1]Dominique F. Chu, Roger Strand
Theories of complexity. Complex. 8(3): 19-30 (2003)
Coauthor Index
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