133 citations · 300 across the 26 of their papers we have counts for
6 papers · 1 filter
cs-net: structural approach to time-series forecasting for high-dimensional feature space data with limited observations
Weiyu Zong, Mingqian Feng, Griffin Heyrich +1
In recent years, deep-learning-based approaches have been introduced to solving time-series forecasting-related problems. These novel methods have demonstrated impressive performan…
A Multi-scale Graph Signature for Persistence Diagrams based on Return Probabilities of Random Walks
Chau Pham, Trung Dang, Peter Chin
Persistence diagrams (PDs), often characterized as sets of death and birth of homology class, have been known for providing a topological representation of a graph structure, which…
A Study on Self-Supervised Object Detection Pretraining
Trung Dang, Simon Kornblith, Huy Thong Nguyen +2
In this work, we study different approaches to self-supervised pretraining of object detection models. We first design a general framework to learn a spatially consistent dense rep…
Collusion Detection in Team-Based Multiplayer Games
Laura Greige, Fernando De Mesentier Silva, Meredith Trotter +3
In the context of competitive multiplayer games, collusion happens when two or more teams decide to collaborate towards a common goal, with the intention of gaining an unfair advan…
Non-Volatile Memory Accelerated Geometric Multi-Scale Resolution Analysis
Andrew Wood, Moshik Hershcovitch, Daniel Waddington +5
Dimensionality reduction algorithms are standard tools in a researcher's toolbox. Dimensionality reduction algorithms are frequently used to augment downstream tasks such as machin…
Corrupting Data to Remove Deceptive Perturbation: Using Preprocessing Method to Improve System Robustness
Hieu Le, Hans Walker, Dung Tran +1
Although deep neural networks have achieved great performance on classification tasks, recent studies showed that well trained networks can be fooled by adding subtle noises. This…