465 citations · 910 across the 22 of their papers we have counts for
4 papers · 1 filter
The Unreasonable Effectiveness of Deep Evidential Regression
Nis Meinert, Jakob Gawlikowski, Alexander Lavin
There is a significant need for principled uncertainty reasoning in machine learning systems as they are increasingly deployed in safety-critical domains. A new approach with uncer…
Multivariate Deep Evidential Regression
Nis Meinert, Alexander Lavin
There is significant need for principled uncertainty reasoning in machine learning systems as they are increasingly deployed in safety-critical domains. A new approach with uncerta…
Technology Readiness Levels for Machine Learning Systems
Alexander Lavin, Ciarán M. Gilligan-Lee, Alessya Visnjic +12
The development and deployment of machine learning (ML) systems can be executed easily with modern tools, but the process is typically rushed and means-to-an-end. The lack of dilig…
Neuro-symbolic Neurodegenerative Disease Modeling as Probabilistic Programmed Deep Kernels
Alexander Lavin
We present a probabilistic programmed deep kernel learning approach to personalized, predictive modeling of neurodegenerative diseases. Our analysis considers a spectrum of neural…