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Matthew R. Lakin
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2020 – today
- 2023
- [j13]Matthew R. Lakin:
Design and Simulation of a Multilayer Chemical Neural Network That Learns via Backpropagation. Artif. Life 29(3): 308-335 (2023) - [j12]David Arredondo
, Matthew R. Lakin
:
Supervised Learning in a Multilayer, Nonlinear Chemical Neural Network. IEEE Trans. Neural Networks Learn. Syst. 34(10): 7734-7745 (2023) - 2022
- [j11]David Arredondo, Matthew R. Lakin
:
Operant conditioning of stochastic chemical reaction networks. PLoS Comput. Biol. 18(11): 1010676 (2022) - 2021
- [e1]Matthew R. Lakin
, Petr Sulc
:
27th International Conference on DNA Computing and Molecular Programming, DNA 27, September 13-16, 2021, Oxford, UK (Virtual Conference). LIPIcs 205, Schloss Dagstuhl - Leibniz-Zentrum für Informatik 2021, ISBN 978-3-95977-205-1 [contents]
2010 – 2019
- 2018
- [j10]Matthew R. Lakin, Andrew Phillips:
Automated analysis of tethered DNA nanostructures using constraint solving. Nat. Comput. 17(4): 709-722 (2018) - 2017
- [c17]Matthew R. Lakin, Andrew Phillips:
Automated, Constraint-Based Analysis of Tethered DNA Nanostructures. DNA 2017: 1-16 - [c16]Matthew R. Lakin, Darko Stefanovic:
Towards Temporal Logic Computation Using DNA Strand Displacement Reactions. UCNC 2017: 41-55 - 2016
- [j9]Dandan Mo, Matthew R. Lakin, Darko Stefanovic:
Logic circuits based on molecular spider systems. Biosyst. 146: 10-25 (2016) - [j8]Matthew R. Lakin, Darko Stefanovic, Andrew Phillips:
Modular verification of chemical reaction network encodings via serializability analysis. Theor. Comput. Sci. 632: 21-42 (2016) - [j7]Rasmus L. Petersen, Matthew R. Lakin, Andrew Phillips:
A strand graph semantics for DNA-based computation. Theor. Comput. Sci. 632: 43-73 (2016) - 2015
- [c15]Matthew R. Lakin, Darko Stefanovic:
Supervised Learning in an Adaptive DNA Strand Displacement Circuit. DNA 2015: 154-167 - [c14]Dandan Mo, Matthew R. Lakin, Darko Stefanovic:
Scalable Design of Logic Circuits Using an Active Molecular Spider System. IPCAT 2015: 13-28 - 2014
- [c13]Matthew R. Lakin, Rasmus L. Petersen, Kathryn E. Gray, Andrew Phillips:
Abstract Modelling of Tethered DNA Circuits. DNA 2014: 132-147 - [c12]Alireza Goudarzi, Matthew R. Lakin, Darko Stefanovic, Christof Teuscher:
A model for variation- and fault-tolerant digital logic using self-assembled nanowire architectures. NANOARCH 2014: 116-121 - [c11]Matthew R. Lakin, Andrew Phillips:
Compiling DNA Strand Displacement Reactions Using a Functional Programming Language. PADL 2014: 81-86 - [c10]Alireza Goudarzi, Matthew R. Lakin, Darko Stefanovic:
Reservoir Computing Approach to Robust Computation Using Unreliable Nanoscale Networks. UCNC 2014: 164-176 - [c9]Matthew R. Lakin, Darko Stefanovic:
Pattern Formation by Spatially Organized Approximate Majority Reactions. UCNC 2014: 254-266 - [i4]Alireza Goudarzi, Peter Banda, Matthew R. Lakin, Christof Teuscher, Darko Stefanovic:
A Comparative Study of Reservoir Computing for Temporal Signal Processing. CoRR abs/1401.2224 (2014) - [i3]Alireza Goudarzi, Matthew R. Lakin, Darko Stefanovic:
Reservoir Computing Approach to Robust Computation using Unreliable Nanoscale Networks. CoRR abs/1405.0296 (2014) - [i2]Alireza Goudarzi, Matthew R. Lakin, Darko Stefanovic, Christof Teuscher:
A Model for Variation- and Fault-Tolerant Digital Logic using Self-Assembled Nanowire Architectures. CoRR abs/1406.3433 (2014) - 2013
- [j6]Peter Banda
, Christof Teuscher, Matthew R. Lakin:
Online Learning in a Chemical Perceptron. Artif. Life 19(2): 195-219 (2013) - [j5]Matthew R. Lakin, Andrew M. Pitts
:
Contextual equivalence for inductive definitions with binders in higher order typed functional programming. J. Funct. Program. 23(6): 658-700 (2013) - [c8]Alireza Goudarzi, Matthew R. Lakin, Darko Stefanovic:
DNA Reservoir Computing: A Novel Molecular Computing Approach. DNA 2013: 76-89 - [c7]Matthew R. Lakin, Andrew Phillips, Darko Stefanovic:
Modular Verification of DNA Strand Displacement Networks via Serializability Analysis. DNA 2013: 133-146 - [i1]Alireza Goudarzi, Matthew R. Lakin, Darko Stefanovic:
DNA Reservoir Computing: A Novel Molecular Computing Approach. CoRR abs/1306.5998 (2013) - 2012
- [j4]Matthew R. Lakin, Andrew M. Pitts:
Encoding Abstract Syntax Without Fresh Names. J. Autom. Reason. 49(2): 115-140 (2012) - [j3]Matthew R. Lakin, Loïc Paulevé, Andrew Phillips:
Stochastic simulation of multiple process calculi for biology. Theor. Comput. Sci. 431: 181-206 (2012) - [c6]Matthew R. Lakin, Amanda J. Minnich, Terran Lane, Darko Stefanovic:
Towards a Biomolecular Learning Machine. UCNC 2012: 152-163 - 2011
- [j2]Matthew R. Lakin, Simon Youssef, Filippo Polo, Stephen Emmott, Andrew Phillips:
Visual DSD: a design and analysis tool for DNA strand displacement systems. Bioinform. 27(22): 3211-3213 (2011) - [j1]Matthew R. Lakin:
Constraint solving in non-permutative nominal abstract syntax. Log. Methods Comput. Sci. 7(3) (2011) - [c5]Matthew R. Lakin, Andrew Phillips:
Modelling, Simulating and Verifying Turing-Powerful Strand Displacement Systems. DNA 2011: 130-144 - 2010
- [b1]Matthew R. Lakin:
An executable meta-language for inductive definitions with binders. University of Cambridge, UK, 2010 - [c4]Loïc Paulevé, Simon Youssef, Matthew R. Lakin, Andrew Phillips:
A generic abstract machine for stochastic process calculi. CMSB 2010: 43-54 - [c3]Andrew Phillips, Matthew R. Lakin, Loïc Paulevé:
Stochastic Simulation of Process Calculi for Biology. MeCBIC 2010: 1-5
2000 – 2009
- 2009
- [c2]Matthew R. Lakin, Andrew M. Pitts:
Resolving Inductive Definitions with Binders in Higher-Order Typed Functional Programming. ESOP 2009: 47-61 - 2007
- [c1]Matthew R. Lakin, Andrew M. Pitts:
A Metalanguage for Structural Operational Semantics. Trends in Functional Programming 2007: 19-35
Coauthor Index
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