Alexander Bame Wiltschko
Alexander Bame Wiltschko
Senior Research Scientist, Google Brain
Verified email at
Cited by
Cited by
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 29, 2946-2954, 2016
Mapping sub-second structure in mouse behavior
AB Wiltschko, MJ Johnson, G Iurilli, RE Peterson, JM Katon, ...
Neuron 88 (6), 1121-1135, 2015
Selective activation of striatal fast-spiking interneurons during choice execution
GJ Gage, CR Stoetzner, AB Wiltschko, JD Berke
Neuron 67 (3), 466-479, 2010
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
Winner's curse? On pace, progress, and empirical rigor
D Sculley, J Snoek, A Wiltschko, A Rahimi
Opposite effects of stimulant and antipsychotic drugs on striatal fast-spiking interneurons
AB Wiltschko, JR Pettibone, JD Berke
Neuropsychopharmacology 35 (6), 1261-1270, 2010
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
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
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
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
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
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
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
Winner’s curse
D Sculley, J Snoek, A Wiltschko, A Rahimi
On pace, progress, and empirical rigor, 2018
Devices and methods for analyzing rodent behavior
CJ Woolf, DP Roberson, AB Wiltschko, SR Datta
US Patent 10,238,085, 2019
Tangent: Automatic differentiation using source code transformation in Python
B van MerriŽnboer, AB Wiltschko, D Moldovan
arXiv preprint arXiv:1711.02712, 2017
Revealing the structure of pharmacobehavioral space through motion sequencing
AB Wiltschko, T Tsukahara, A Zeine, R Anyoha, WF Gillis, JE Markowitz, ...
Nature Neuroscience 23 (11), 1433-1443, 2020
Avoiding a tragedy of the commons in the peer review process
D Sculley, J Snoek, A Wiltschko
arXiv preprint arXiv:1901.06246, 2018
Automatically classifying animal behavior
SR Datta, AB Wiltschko, MJ Johnson
US Patent App. 15/767,544, 2018
Tangent: automatic differentiation using source code transformation in Python
AB Wiltschko, B van MerriŽnboer, D Moldovan
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