7 citations · 13 across the 4 of their papers we have counts for
4 papers
An Exact Kernel Equivalence for Finite Classification Models
Brian Bell, Michael Geyer, David Glickenstein +2
We explore the equivalence between neural networks and kernel methods by deriving the first exact representation of any finite-size parametric classification model trained with gra…
Synthetic ECG Signal Generation using Probabilistic Diffusion Models
Edmond Adib, Amanda Fernandez, Fatemeh Afghah +1
Deep learning image processing models have had remarkable success in recent years in generating high quality images. Particularly, the Improved Denoising Diffusion Probabilistic Mo…
SAD: Saliency-based Defenses Against Adversarial Examples
Richard Tran, David Patrick, Michael Geyer +1
With the rise in popularity of machine and deep learning models, there is an increased focus on their vulnerability to malicious inputs. These adversarial examples drift model pred…
uPredict: A User-Level Profiler-Based Predictive Framework for Single VM Applications in Multi-Tenant Clouds
Hamidreza Moradi, Wei Wang, Amanda Fernandez +1
Most existing studies on performance prediction for virtual machines (VMs) in multi-tenant clouds are at system level and generally require access to performance counters in Hyperv…