Luca Ambrogioni
Luca Ambrogioni
Donder's institute of Cognition
donders.ru.nl üzerinde doğrulanmış e-posta adresine sahip
Başlık
Alıntı yapanlar
Alıntı yapanlar
Yıl
Theta oscillations locked to intended actions rhythmically modulate perception
A Tomassini, L Ambrogioni, WP Medendorp, E Maris
Elife 6, e25618, 2017
572017
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
552018
Structurally-informed Bayesian functional connectivity analysis
M Hinne, L Ambrogioni, RJ Janssen, T Heskes, MAJ van Gerven
NeuroImage 86, 294-305, 2014
452014
Wasserstein variational inference
L Ambrogioni, U Güçlü, Y Güçlütürk, M Hinne, E Maris, MAJ van Gerven
Neural Information Processing Systems 2018, 2018
222018
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
152017
Neural dynamics of perceptual inference and its reversal during imagery
N Dijkstra, L Ambrogioni, D Vidaurre, M van Gerven
Elife 9, e53588, 2020
122020
Complex-valued Gaussian process regression for time series analysis
L Ambrogioni, E Maris
Signal Processing 160, 215-228, 2019
112019
Wasserstein variational gradient descent: From semi-discrete optimal transport to ensemble variational inference
L Ambrogioni, U Guclu, M van Gerven
Bayesian Deep Learning workshop. NeurIPS, 2018
92018
GP CaKe: Effective brain connectivity with causal kernels
L Ambrogioni, M Hinne, M Van Gerven, E Maris
arXiv preprint arXiv:1705.05603, 2017
92017
Dynamic Decomposition of Spatiotemporal Neural Signals
L Ambrogioni, van Gerven Marcel A.J., E Maris
PLoS Computational Biology, 2016
82016
End-to-end neural system identification with neural information flow
K Seeliger, L Ambrogioni, Y Güçlütürk, LM van den Bulk, U Güçlü, ...
PLOS Computational Biology 17 (2), e1008558, 2021
62021
GAIT-prop: A biologically plausible learning rule derived from backpropagation of error
N Ahmad, MAJ van Gerven, L Ambrogioni
arXiv preprint arXiv:2006.06438, 2020
62020
Estimating nonlinear dynamics with the ConvNet smoother
L Ambrogioni, U Güçlü, E Maris, M van Gerven
arXiv preprint arXiv:1702.05243, 2017
52017
Forward amortized inference for likelihood-free variational marginalization
L Ambrogioni, U Güçlü, J Berezutskaya, E van den Borne, Y Güçlütürk, ...
The 22nd International Conference on Artificial Intelligence and Statistics …, 2019
42019
DeepRF: Ultrafast population receptive field mapping with deep learning
J Thielen, U Güçlü, Y Güçlütürk, L Ambrogioni, SE Bosch, ...
bioRxiv, 732990, 2019
32019
Automatic structured variational inference
L Ambrogioni, K Lin, E Fertig, S Vikram, M Hinne, D Moore, M Gerven
International Conference on Artificial Intelligence and Statistics, 676-684, 2021
12021
Spike-timing-dependent inference of synaptic weights
N Ahmad, L Ambrogioni, MAJ van Gerven
arXiv preprint arXiv:2003.03988, 2020
12020
Hyperrealistic neural decoding: Linear reconstruction of face stimuli from fMRI measurements via the GAN latent space
T Dado, Y Gucluturk, L Ambrogioni, G Ras, SE Bosch, M van Gerven, ...
bioRxiv, 2020
12020
Integral Transforms from Finite Data: An Application of Gaussian Process Regression to Fourier Analysis
L Ambrogioni, E Maris
International Conference on Artificial Intelligence and Statistics, 217-225, 2018
12018
Analysis of nonstationary time series using locally coupled gaussian processes
L Ambrogioni, E Maris
Timeseries workshop. NeuirIPS, 2016
12016
Sistem, işlemi şu anda gerçekleştiremiyor. Daha sonra yeniden deneyin.
Makaleler 1–20