19 citations · 39 across the 7 of their papers we have counts for
8 papers
Masked Multi-Step Multivariate Time Series Forecasting with Future Information
Yiwei Fu, Honggang Wang, Nurali Virani
In this paper, we introduce Masked Multi-Step Multivariate Forecasting (MMMF), a novel and general self-supervised learning framework for time series forecasting with known future…
Uncertainty-aware Perception Models for Off-road Autonomous Unmanned Ground Vehicles
Zhaoyuan Yang, Yewteck Tan, Shiraj Sen +4
Off-road autonomous unmanned ground vehicles (UGVs) are being developed for military and commercial use to deliver crucial supplies in remote locations, help with mapping and surve…
Automated Creation and Human-assisted Curation of Computable Scientific Models from Code and Text
Varish Mulwad, Andrew Crapo, Vijay S. Kumar +5
Scientific models hold the key to better understanding and predicting the behavior of complex systems. The most comprehensive manifestation of a scientific model, including crucial…
Adversarial Attacks with Time-Scale Representations
Alberto Santamaria-Pang, Jianwei Qiu, Aritra Chowdhury +4
We propose a novel framework for real-time black-box universal attacks which disrupts activations of early convolutional layers in deep learning models. Our hypothesis is that pert…
Variational Encoder-based Reliable Classification
Chitresh Bhushan, Zhaoyuan Yang, Nurali Virani +1
Machine learning models provide statistically impressive results which might be individually unreliable. To provide reliability, we propose an Epistemic Classifier (EC) that can pr…
Design of intentional backdoors in sequential models
Zhaoyuan Yang, Naresh Iyer, Johan Reimann +1
Recent work has demonstrated robust mechanisms by which attacks can be orchestrated on machine learning models. In contrast to adversarial examples, backdoor or trojan attacks embe…