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Zhe Li
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Evaluate the Malignancy of Pulmonary Nodules Using the 3-D Deep Leaky Noisy-OR Network
F Liao, M Liang, Z Li, X Hu, S Song
IEEE transactions on neural networks and learning systems 30 (11), 3484-3495, 2019
4592019
Learning from brains how to regularize machines
Z Li, W Brendel, E Walker, E Cobos, T Muhammad, J Reimer, M Bethge, ...
Advances in neural information processing systems 32, 2019
502019
Class-incremental learning with generative classifiers
GM Van De Ven, Z Li, AS Tolias
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2021
432021
Primary Visual Cortex as a Saliency Map: A Parameter-free Prediction and Its Test by Behavioral Data
L Zhaoping, L Zhe
PLOS Computational Biology 11 (10), e1004375, 2015
262015
Properties of V1 Neurons Tuned to Conjunctions of Visual Features: Application of the V1 Saliency Hypothesis to Visual Search Behavior
L Zhaoping, L Zhe
PLOS ONE 7 (6), e36223, 2012
192012
Robust deep learning object recognition models rely on low frequency information in natural images
Z Li, J Ortega Caro, E Rusak, W Brendel, M Bethge, F Anselmi, AB Patel, ...
PLOS Computational Biology 19 (3), e1010932, 2023
182023
A Single, Continuously Applied Control Policy for Modeling Reaching Movements with and Without Perturbation
Z Li, P Mazzoni, S Song, N Qian
Neural Computation 30 (2), 397-427, 2018
102018
Solving Stereo Transparency with an Extended Coarse-to-fine Disparity Energy Model
Z Li, N Qian
Neural Computation 27 (5), 1058-1082, 2015
42015
Learning dynamics and structure of complex systems using graph neural networks
Z Li, AS Tolias, X Pitkow
arXiv preprint arXiv:2202.10996, 2022
22022
Learning from biological systems how to regularize machine-learning
A Tolias, Z Li, Z Pitkow, JO Caro, A Patel, J Reimer, M Bethge, F Sinz
US Patent App. 17/641,259, 2022
12022
Inferring Inference
RV Raju, Z Li, S Linderman, X Pitkow
arXiv preprint arXiv:2310.03186, 2023
2023
Inferring Inference
R Vasudeva Raju, Z Li, S Linderman, X Pitkow
arXiv e-prints, arXiv: 2310.03186, 2023
2023
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