research
∙
04/05/2023
MMVC: Learned Multi-Mode Video Compression with Block-based Prediction Mode Selection and Density-Adaptive Entropy Coding
Learning-based video compression has been extensively studied over the p...
share
research
∙
04/02/2022
A Generalized Family of Exponentiated Composite Distributions
In this paper, we propose a new class of distributions by exponentiating...
research
∙
03/08/2022
The application of accumulation tests in Peaks-Over-Threshold modeling with Norwegian Fire insurance Data
Modeling excess remains to be an important topic in insurance data model...
research
∙
08/14/2021
Analyzing insurance data with an exponentiated composite Inverse-Gamma Pareto model
Exponentiated models have been widely used in modeling various types of ...
research
∙
08/11/2021
Capture Uncertainties in Deep Neural Networks for Safe Operation of Autonomous Driving Vehicles
Uncertainties in Deep Neural Network (DNN)-based perception and vehicle'...
research
∙
04/28/2021
Accountable Fine-grained Blockchain Rewriting in the Permissionless Setting
Blockchain rewriting with fine-grained access control allows a user to c...
research
∙
03/06/2021
Simultaneously Localize, Segment and Rank the Camouflaged Objects
Camouflage is a key defence mechanism across species that is critical to...
research
∙
05/09/2020
A First Look into DeFi Oracles
Recently emerging Decentralized Finance (DeFi) takes the promise of cryp...
research
∙
05/02/2020
Open Graph Benchmark: Datasets for Machine Learning on Graphs
We present the Open Graph Benchmark (OGB), a diverse set of challenging ...
research
∙
03/17/2020
Weakly-Supervised Salient Object Detection via Scribble Annotations
Compared with laborious pixel-wise dense labeling, it is much easier to ...
research
∙
03/17/2020
SMACS: Smart Contract Access Control Service
Although blockchain-based smart contracts promise a “trustless” way of e...
research
∙
03/13/2020
Fail-safe Watchtowers and Short-lived Assertions for Payment Channels
The recent development of payment channels and their extensions (e.g., s...
research
∙
01/10/2020
Probabilistic K-means Clustering via Nonlinear Programming
K-means is a classical clustering algorithm with wide applications. Howe...
research
∙
05/29/2019
Pre-training Graph Neural Networks
Many applications of machine learning in science and medicine, including...
research
∙
06/07/2018
Graph Convolutional Policy Network for Goal-Directed Molecular Graph Generation
Generating novel graph structures that optimize given objectives while o...
research
∙
06/06/2017