Search Results for author:
Found 5 papers, 2 papers with code
Using machine learning to understand causal relationships between urban form and travel CO2 emissions across continents
Here, we address all three gaps via causal graph discovery and explainable machine learning to detect urban form effects on intra-city car travel, based on mobility data of six cities across three continents.
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.
On the effects of biased quantum random numbers on the initialization of artificial neural networks
Recent advances in practical quantum computing have led to a variety of cloud-based quantum computing platforms that allow researchers to evaluate their algorithms on noisy intermediate-scale quantum (NISQ) devices.
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.
