Luca Ambrogioni
Luca Ambrogioni
Donder's institute of Cognition
Geverifieerd e-mailadres voor donders.ru.nl
Titel
Geciteerd door
Geciteerd door
Jaar
Theta oscillations locked to intended actions rhythmically modulate perception
A Tomassini, L Ambrogioni, WP Medendorp, E Maris
Elife 6, e25618, 2017
392017
Structurally-informed Bayesian functional connectivity analysis
M Hinne, L Ambrogioni, RJ Janssen, T Heskes, MAJ van Gerven
NeuroImage 86, 294-305, 2014
382014
Generative adversarial networks for reconstructing natural images from brain activity
K Seeliger, U Güçlü, L Ambrogioni, Y Güçlütürk, MAJ van Gerven
NeuroImage 181, 775-785, 2018
242018
Wasserstein variational inference
L Ambrogioni, U Güçlü, Y Güçlütürk, M Hinne, MAJ van Gerven, E Maris
Advances in Neural Information Processing Systems, 2473-2482, 2018
132018
The kernel mixture network: A nonparametric method for conditional density estimation of continuous random variables
L Ambrogioni, U Güçlü, MAJ van Gerven, E Maris
arXiv preprint arXiv:1705.07111, 2017
72017
GP CaKe: Effective brain connectivity with causal kernels
L Ambrogioni, M Hinne, M Van Gerven, E Maris
Advances in Neural Information Processing Systems, 950-959, 2017
72017
Wasserstein variational gradient descent: From semi-discrete optimal transport to ensemble variational inference
L Ambrogioni, U Guclu, M van Gerven
arXiv preprint arXiv:1811.02827, 2018
42018
Dynamic Decomposition of Spatiotemporal Neural Signals
L Ambrogioni, van Gerven Marcel A.J., E Maric
arXiv preprint arXiv:1604.04931, 2016
42016
Complex-valued Gaussian process regression for time series analysis
L Ambrogioni, E Maris
Signal Processing 160, 215-228, 2019
32019
Forward amortized inference for likelihood-free variational marginalization
L Ambrogioni, U Güçlü, J Berezutskaya, EWP van den Borne, Y Güçlütürk, ...
arXiv preprint arXiv:1805.11542, 2018
32018
Estimating nonlinear dynamics with the ConvNet smoother
L Ambrogioni, U Güçlü, E Maris, M van Gerven
arXiv preprint arXiv:1702.05243, 2017
32017
Neural dynamics of perceptual inference and its reversal during imagery
N Dijkstra, L Ambrogioni, M van Gerven
bioRxiv, 781294, 2019
22019
End-to-end neural system identification with neural information flow
K Seeliger, L Ambrogioni, Y Güçlütürk, U Güçlü, MAJ van Gerven
bioRxiv, 553255, 2019
12019
Analysis of nonstationary time series using locally coupled gaussian processes
L Ambrogioni, E Maris
arXiv preprint arXiv:1610.09838, 2016
12016
Spike-Timing-Dependent Inference of Synaptic Weights
N Ahmad, L Ambrogioni, MAJ van Gerven
arXiv preprint arXiv:2003.03988, 2020
2020
Automatic structured variational inference
L Ambrogioni, M Hinne, M van Gerven
arXiv preprint arXiv:2002.00643, 2020
2020
The Indian Chefs Process
P Dallaire, L Ambrogioni, L Trottier, U Güçlü, M Hinne, P Giguère, ...
arXiv preprint arXiv:2001.10657, 2020
2020
Background Hardly Matters: Understanding Personality Attribution in Deep Residual Networks
G Ras, R Dotsch, L Ambrogioni, U Güçlü, MAJ van Gerven
arXiv preprint arXiv:1912.09831, 2019
2019
Temporal factorization of 3D convolutional kernels
G Ras, L Ambrogioni, U Güçlü, MAJ van Gerven
arXiv preprint arXiv:1912.04075, 2019
2019
Causal inference using Bayesian non-parametric quasi-experimental design
M Hinne, MAJ van Gerven, L Ambrogioni
arXiv preprint arXiv:1911.06722, 2019
2019
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Artikelen 1–20