Alexander Bame Wiltschko
Alexander Bame Wiltschko
Senior Research Scientist, Google Brain
Verified email at google.com
TitleCited byYear
Composing graphical models with neural networks for structured representations and fast inference
MJ Johnson, DK Duvenaud, A Wiltschko, RP Adams, SR Datta
Advances in neural information processing systems, 2946-2954, 2016
2082016
Selective activation of striatal fast-spiking interneurons during choice execution
GJ Gage, CR Stoetzner, AB Wiltschko, JD Berke
Neuron 67 (3), 466-479, 2010
2032010
Mapping sub-second structure in mouse behavior
AB Wiltschko, MJ Johnson, G Iurilli, RE Peterson, JM Katon, ...
Neuron 88 (6), 1121-1135, 2015
1772015
Wavelet filtering before spike detection preserves waveform shape and enhances single-unit discrimination
AB Wiltschko, GJ Gage, JD Berke
Journal of neuroscience methods 173 (1), 34-40, 2008
852008
Winner's curse? On pace, progress, and empirical rigor
D Sculley, J Snoek, A Wiltschko, A Rahimi
552018
Opposite effects of stimulant and antipsychotic drugs on striatal fast-spiking interneurons
AB Wiltschko, JR Pettibone, JD Berke
Neuropsychopharmacology 35 (6), 1261, 2010
532010
System and method for automatically discovering, characterizing, classifying and semi-automatically labeling animal behavior and quantitative phenotyping of behaviors in animals
SR Datta, AB Wiltschko
US Patent 9,317,743, 2016
362016
Machine learning approaches in cardiovascular imaging
M Henglin, G Stein, PV Hushcha, J Snoek, AB Wiltschko, S Cheng
Circulation: Cardiovascular Imaging 10 (10), e005614, 2017
322017
System and method for automatically discovering, characterizing, classifying and semi-automatically labeling animal behavior and quantitative phenotyping of behaviors in animals
SR DATTA, AB WILTSCHKO
US Patent 10,025,973, 2018
252018
Structured VAEs: Composing probabilistic graphical models and variational autoencoders
MJ Johnson, D Duvenaud, AB Wiltschko, SR Datta, RP Adams
arXiv preprint arXiv:1603.06277 2, 2016, 2016
222016
Tangent: Automatic differentiation using source-code transformation for dynamically typed array programming
B van Merrienboer, D Moldovan, A Wiltschko
Advances in Neural Information Processing Systems, 6256-6265, 2018
142018
Diagnosis of iron deficiency anemia using density-based fractionation of red blood cells
JW Hennek, AA Kumar, AB Wiltschko, MR Patton, SYR Lee, C Brugnara, ...
Lab on a Chip 16 (20), 3929-3939, 2016
112016
AutoGraph: Imperative-style coding with graph-based performance
D Moldovan, JM Decker, F Wang, AA Johnson, BK Lee, Z Nado, D Sculley, ...
arXiv preprint arXiv:1810.08061, 2018
82018
Tangent: Automatic differentiation using source code transformation in Python
B van MerriŽnboer, AB Wiltschko, D Moldovan
arXiv preprint arXiv:1711.02712, 2017
42017
Devices and methods for analyzing rodent behavior
CJ Woolf, DP Roberson, AB Wiltschko, SR Datta
US Patent App. 15/032,730, 2016
42016
Avoiding a Tragedy of the Commons in the Peer Review Process
D Sculley, J Snoek, A Wiltschko
arXiv preprint arXiv:1901.06246, 2018
22018
Tangent: automatic differentiation using source code transformation in Python
AB Wiltschko, B van MerriŽnboer, D Moldovan
22017
Machine Learning for Scent: Learning Generalizable Perceptual Representations of Small Molecules
B Sanchez-Lengeling, JN Wei, BK Lee, RC Gerkin, A Aspuru-Guzik, ...
arXiv preprint arXiv:1910.10685, 2019
12019
Winner’s curse
D Sculley, J Snoek, A Wiltschko, A Rahimi
On pace, progress, and empirical rigor, 2018
12018
Devices and methods for analyzing rodent behavior
CJ Woolf, DP Roberson, AB Wiltschko, SR Datta
US Patent App. 16/275,810, 2019
2019
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