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Alex Susemihl
Alex Susemihl
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Title
Cited by
Cited by
Year
Moral foundations in an interacting neural networks society: A statistical mechanics analysis
R Vicente, A Susemihl, JP Jericó, N Caticha
Physica A: Statistical Mechanics and its Applications 400, 124-138, 2014
212014
Temporal autoencoding restricted boltzmann machine
C Häusler, A Susemihl
arXiv preprint arXiv:1210.8353, 2012
132012
Dynamic state estimation based on Poisson spike trains—towards a theory of optimal encoding
A Susemihl, R Meir, M Opper
Journal of Statistical Mechanics: Theory and Experiment 2013 (03), P03009, 2013
122013
Natural image sequences constrain dynamic receptive fields and imply a sparse code
C Häusler, A Susemihl, MP Nawrot
Brain research 1536, 53-67, 2013
112013
Analytical Results for the Error in Filtering of Gaussian Processes
A Susemihl, R Meir, M Opper
Advances in Neural Information Processing Systems 24, 2011
92011
Temporal autoencoding improves generative models of time series
C Häusler, A Susemihl, MP Nawrot, M Opper
arXiv preprint arXiv:1309.3103, 2013
62013
Perturbation theory for variational inference
M Opper, M Fraccaro, U Paquet, A Susemihl, O Winther
Proc. Conf. Neural Inf. Process. Syst. Workshops, 2015
52015
Optimal neural codes for control and estimation
AK Susemihl, R Meir, M Opper
Advances in neural information processing systems 27, 2014
52014
Optimal population coding of dynamic stimuli
AK Susemihl
Technische Universität Berlin, 2015
22015
Optimal Population Codes for Control and Estimation
A Susemihl, R Meir, M Opper
arXiv preprint arXiv:1406.7179, 2014
22014
Aplicações de mecânica estatística à psicologia moral
AK Susemihl
Institute of Physics, University of São Paulo, 2011
12011
Online Stimulus Reconstruction from Noisy Spike Trains
A Susemihl, R Meir, M Opper
Bernstein Conference 2012, 2012
2012
Encoding and Recall of Natural Image Sequences with Conditionally Restricted Boltzmann Machines
C Häusler, A Susemihl
Bernstein Conference 2012, 2012
2012
An Analytical Study of Population Coding of Dynamic Stimuli
AK Susemihl, M Opper
Bernstein Conference 2011, 2011
2011
Reconhecimento de padroes em imagens usando’features’ invariantes
AK Susemihl, N Caticha
2007
Moral foundations in an interacting neural networks society
R Vicente, A Susemihl, JP Jericó, N Caticha
Reconhecimento de Padrões usando features invariantes
AK Susemihl, N Caticha
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Articles 1–17