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02/14/2023
Masked Multi-Step Probabilistic Forecasting for Short-to-Mid-Term Electricity Demand
Predicting the demand for electricity with uncertainty helps in planning...
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09/28/2022
Masked Multi-Step Multivariate Time Series Forecasting with Future Information
In this paper, we introduce Masked Multi-Step Multivariate Forecasting (...
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09/22/2022
Uncertainty-aware Perception Models for Off-road Autonomous Unmanned Ground Vehicles
Off-road autonomous unmanned ground vehicles (UGVs) are being developed ...
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01/28/2022
Automated Creation and Human-assisted Curation of Computable Scientific Models from Code and Text
Scientific models hold the key to better understanding and predicting th...
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07/26/2021
Adversarial Attacks with Time-Scale Representations
We propose a novel framework for real-time black-box universal attacks w...
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02/19/2020
Variational Encoder-based Reliable Classification
Machine learning models provide statistically impressive results which m...
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11/18/2019
Justification-Based Reliability in Machine Learning
With the advent of Deep Learning, the field of machine learning (ML) has...
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02/26/2019
Design of intentional backdoors in sequential models
Recent work has demonstrated robust mechanisms by which attacks can be o...
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04/09/2018
Nonlinear Unknown Input and State Estimation Algorithm in Mobile Robots
This technical report provides the description and the derivation of a n...
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09/26/2017