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ORCIDDavid M. Budden
Person information
- affiliation: Massachusetts Institute of Technology, CSAIL, Cambridge, MA, USA
- affiliation: University of Melbourne, Systems Biology Laboratory, VIC, Australia
- affiliation: University of Newcastle, School of Electrical Engineering and Computer Science, NSW, Australia
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2010 – 2019
- 2018
[c10]Shibani Santurkar, David M. Budden, Nir Shavit:
Generative Compression. PCS 2018: 258-262- 2017
- [j10]David M. Budden, Mitchell Jones
:
Cautionary Tales of Inapproximability. J. Comput. Biol. 24(3): 213-216 (2017) - [c9]David M. Budden, Alexander Matveev, Shibani Santurkar, Shraman Ray Chaudhuri, Nir Shavit:
Deep Tensor Convolution on Multicores. ICML 2017: 615-624 - [c8]Alexander Matveev, Yaron Meirovitch, Hayk Saribekyan, Wiktor Jakubiuk, Tim Kaler, Gergely Ódor, David M. Budden, Aleksandar Zlateski, Nir Shavit:
A Multicore Path to Connectomics-on-Demand. PPoPP 2017: 267-281 - [i10]Shibani Santurkar, David M. Budden, Alexander Matveev, Heather Berlin, Hayk Saribekyan, Yaron Meirovitch, Nir Shavit:
Toward Streaming Synapse Detection with Compositional ConvNets. CoRR abs/1702.07386 (2017) - [i9]Shibani Santurkar, David M. Budden, Nir Shavit:
Generative Compression. CoRR abs/1703.01467 (2017) - 2016
- [j9]David M. Budden, Edmund J. Crampin:
Distributed gene expression modelling for exploring variability in epigenetic function. BMC Bioinform. 17: 446:1-446:8 (2016) - [j8]David M. Budden, Edmund J. Crampin:
Information theoretic approaches for inference of biological networks from continuous-valued data. BMC Syst. Biol. 10: 89 (2016) - [j7]Shannon Fenn, Alexandre Mendes, David M. Budden:
Addressing the non-functional requirements of computer vision systems: a case study. Mach. Vis. Appl. 27(1): 77-86 (2016) - [i8]David M. Budden, Alexander Matveev, Shibani Santurkar, Shraman Ray Chaudhuri, Nir Shavit:
Deep Tensor Convolution on Multicores. CoRR abs/1611.06565 (2016) - [i7]Yaron Meirovitch, Alexander Matveev, Hayk Saribekyan, David M. Budden, David Rolnick, Gergely Ódor, Seymour Knowles-Barley, Thouis Raymond Jones, Hanspeter Pfister, Jeff William Lichtman, Nir Shavit:
A Multi-Pass Approach to Large-Scale Connectomics. CoRR abs/1612.02120 (2016) - 2015
- [j6]David M. Budden, Daniel G. Hurley, Edmund J. Crampin:
Predictive modelling of gene expression from transcriptional regulatory elements. Briefings Bioinform. 16(4): 616-628 (2015) - [j5]Daniel G. Hurley, David M. Budden, Edmund J. Crampin:
Virtual Reference Environments: a simple way to make research reproducible. Briefings Bioinform. 16(5): 901-903 (2015) - [j4]Daniel G. Hurley, Joseph Cursons, Yi Kan Wang, David M. Budden, Cristin G. Print, Edmund J. Crampin:
NAIL, a software toolset for inferring, analyzing and visualizing regulatory networks. Bioinform. 31(2): 277-278 (2015) - [j3]Daniel G. Hurley, Joseph Cursons, Yi Kan Wang, David M. Budden, Cristin G. Print, Edmund J. Crampin:
NAIL, a software toolset for inferring, analyzing and visualizing regulatory networks. Bioinform. 31(13): 2015-2240 (2015) - [j2]David M. Budden, Peter Wang, Oliver Obst, Mikhail Prokopenko:
RoboCup Simulation Leagues: Enabling Replicable and Robust Investigation of Complex Robotic Systems. IEEE Robotics Autom. Mag. 22(3): 140-146 (2015) - [j1]Madison Flannery, David M. Budden, Alexandre Mendes:
FlexDM: Simple, parallel and fault-tolerant data mining using WEKA. Source Code Biol. Medicine 10: 13 (2015) - [i6]David M. Budden, Edmund J. Crampin:
Gene expression modelling across multiple cell-lines with MapReduce. CoRR abs/1507.05720 (2015) - 2014
- [c7]David M. Budden, Peter Wang, Oliver Obst, Mikhail Prokopenko:
Simulation Leagues: Analysis of Competition Formats. RoboCup 2014: 183-194 - [i5]David M. Budden, Peter Wang, Oliver Obst, Mikhail Prokopenko:
Simulation leagues: Analysis of competition formats. CoRR abs/1403.4023 (2014) - [i4]Shannon Fenn, Alexandre Mendes, David M. Budden:
Addressing the non-functional requirements of computer vision systems: A case study. CoRR abs/1410.8623 (2014) - [i3]David M. Budden, Peter Wang, Oliver Obst, Mikhail Prokopenko:
Simulation leagues: Enabling replicable and robust investigation of complex robotic systems. CoRR abs/1412.5711 (2014) - [i2]Madison Flannery, David M. Budden, Alexandre Mendes:
FlexDM: Enabling robust and reliable parallel data mining using WEKA. CoRR abs/1412.5720 (2014) - 2013
- [c6]Jake Fountain, Josiah Walker, David M. Budden, Alexandre Mendes, Stephan K. Chalup:
Motivated Reinforcement Learning for Improved Head Actuation of Humanoid Robots. RoboCup 2013: 268-279 - [c5]David M. Budden, Alexandre Mendes:
Unsupervised Recognition of Salient Colour for Real-Time Image Processing. RoboCup 2013: 373-384 - [c4]David M. Budden, Mikhail Prokopenko:
Improved Particle Filtering for Pseudo-Uniform Belief Distributions in Robot Localisation. RoboCup 2013: 385-395 - [c3]Brendan Annable, David M. Budden, Alexandre Mendes:
NUbugger: A Visual Real-Time Robot Debugging System. RoboCup 2013: 544-551 - [i1]Madison Flannery, Shannon Fenn, David M. Budden:
RANSAC: Identification of Higher-Order Geometric Features and Applications in Humanoid Robot Soccer. CoRR abs/1310.5781 (2013) - 2012
- [c2]David M. Budden, Shannon Fenn, Josiah Walker, Alexandre Mendes:
A Novel Approach to Ball Detection for Humanoid Robot Soccer. Australasian Conference on Artificial Intelligence 2012: 827-838 - [c1]David M. Budden, Shannon Fenn, Alexandre Mendes, Stephan K. Chalup:
Evaluation of Colour Models for Computer Vision Using Cluster Validation Techniques. RoboCup 2012: 261-272
Coauthor Index
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