Search Results for author:
Found 11 papers, 2 papers with code
Combining expert knowledge and neural networks to model environmental stresses in agriculture
In this work we combine representation learning capabilities of neural network with agricultural knowledge from experts to model environmental heat and drought stresses.
On the Impact of Stable Ranks in Deep Nets
A recent line of work has established intriguing connections between the generalization/compression properties of a deep neural network (DNN) model and the so-called layer weights' stable ranks.
A prior-based approximate latent Riemannian metric
In this work we propose a surrogate conformal Riemannian metric in the latent space of a generative model that is simple, efficient and robust.
Heating up decision boundaries: isocapacitory saturation, adversarial scenarios and generalization bounds
We are largely motivated by the search for a soft measure that sheds further light on the decision boundary's geometry.
Quantum Circuit Evolution on NISQ Devices
The results provide intuition on how randomized search heuristics behave on actual quantum hardware and lay out a path for further refinement of evolutionary quantum gate circuits.
Generative Deep Learning Techniques for Password Generation
Password guessing approaches via deep learning have recently been investigated with significant breakthroughs in their ability to generate novel, realistic password candidates.
Recurrent Point Review Models
Specifically, we use the dynamic representations of recurrent point process models, which encode the history of how business or service reviews are received in time, to generate instantaneous language models with improved prediction capabilities.
Neural Abstract Reasoner
Abstract reasoning and logic inference are difficult problems for neural networks, yet essential to their applicability in highly structured domains.
Recurrent Point Processes for Dynamic Review Models
Recent progress in recommender system research has shown the importance of including temporal representations to improve interpretability and performance.
Recurrent Adversarial Service Times
Service system dynamics occur at the interplay between customer behaviour and a service provider's response.
Informed Machine Learning -- A Taxonomy and Survey of Integrating Knowledge into Learning Systems
It considers the source of knowledge, its representation, and its integration into the machine learning pipeline.
