Alexander Bame Wiltschko
Alexander Bame Wiltschko
Staff Research Scientist, Google Brain
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Cited by
Cited by
Mapping sub-second structure in mouse behavior
AB Wiltschko, MJ Johnson, G Iurilli, RE Peterson, JM Katon, ...
Neuron 88 (6), 1121-1135, 2015
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, 2016
Selective activation of striatal fast-spiking interneurons during choice execution
GJ Gage, CR Stoetzner, AB Wiltschko, JD Berke
Neuron 67 (3), 466-479, 2010
Winner's curse? On pace, progress, and empirical rigor
D Sculley, J Snoek, A Wiltschko, A Rahimi
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
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
Opposite effects of stimulant and antipsychotic drugs on striatal fast-spiking interneurons
AB Wiltschko, JR Pettibone, JD Berke
Neuropsychopharmacology 35 (6), 1261-1270, 2010
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
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
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
Evaluating attribution for graph neural networks
B Sanchez-Lengeling, J Wei, B Lee, E Reif, P Wang, W Qian, ...
Advances in neural information processing systems 33, 5898-5910, 2020
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
AG: Imperative-style Coding with Graph-based Performance
D Moldovan, J Decker, F Wang, A Johnson, B Lee, Z Nado, D Sculley, ...
Proceedings of Machine Learning and Systems 1, 389-405, 2019
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 31, 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 1, 1285-1298, 2018
A gentle introduction to graph neural networks
B Sanchez-Lengeling, E Reif, A Pearce, AB Wiltschko
Distill 6 (9), e33, 2021
Avoiding a tragedy of the commons in the peer review process
D Sculley, J Snoek, A Wiltschko
arXiv preprint arXiv:1901.06246, 2018
Devices and methods for analyzing rodent behavior
CJ Woolf, DP Roberson, AB Wiltschko, SR Datta
US Patent 10,238,085, 2019
Bayesian optimization techniques and applications
K Swersky, RJ Snoek, RP Adams, AB Wiltschko
US Patent App. 15/933,361, 2018
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