39 citations · 200 across the 57 of their papers we have counts for
4 papers · 1 filter
Gradient-based Novelty Detection Boosted by Self-supervised Binary Classification
Jingbo Sun, Li Yang, Jiaxin Zhang +4
Novelty detection aims to automatically identify out-of-distribution (OOD) data, without any prior knowledge of them. It is a critical step in data monitoring, behavior analysis an…
On the Stochastic Stability of Deep Markov Models
Ján Drgoňa, Sayak Mukherjee, Jiaxin Zhang +2
Deep Markov models (DMM) are generative models that are scalable and expressive generalization of Markov models for representation, learning, and inference problems. However, the f…
A Parallel Approximation Algorithm for Maximizing Submodular -Matching
S M Ferdous, Alex Pothen, Arif Khan +2
We design new serial and parallel approximation algorithms for computing a maximum weight -matching in an edge-weighted graph with a submodular objective function. This problem…
V2W-BERT: A Framework for Effective Hierarchical Multiclass Classification of Software Vulnerabilities
Siddhartha Shankar Das, Edoardo Serra, Mahantesh Halappanavar +2
Weaknesses in computer systems such as faults, bugs and errors in the architecture, design or implementation of software provide vulnerabilities that can be exploited by attackers…