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10/26/2021
Combining expert knowledge and neural networks to model environmental stresses in agriculture
In this work we combine representation learning capabilities of neural n...
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10/05/2021
On the Impact of Stable Ranks in Deep Nets
A recent line of work has established intriguing connections between the...
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03/09/2021
A prior-based approximate latent Riemannian metric
Stochastic generative models enable us to capture the geometric structur...
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01/15/2021
Heating up decision boundaries: isocapacitory saturation, adversarial scenarios and generalization bounds
In the present work we study classifiers' decision boundaries via Browni...
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12/10/2020
Generative Deep Learning Techniques for Password Generation
Password guessing approaches via deep learning have recently been invest...
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12/10/2020
Recurrent Point Review Models
Deep neural network models represent the state-of-the-art methodologies ...
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11/12/2020
Neural Abstract Reasoner
Abstract reasoning and logic inference are difficult problems for neural...
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12/09/2019
Recurrent Point Processes for Dynamic Review Models
Recent progress in recommender system research has shown the importance ...
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06/24/2019