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07/30/2023
Interactive Car-Following: Matters but NOT Always
Following a leading vehicle is a daily but challenging task because it r...
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06/15/2023
Datasets and Benchmarks for Offline Safe Reinforcement Learning
This paper presents a comprehensive benchmarking suite tailored to offli...
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06/07/2023
MultiSum: A Dataset for Multimodal Summarization and Thumbnail Generation of Videos
Multimodal summarization with multimodal output (MSMO) has emerged as a ...
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04/16/2023
Multimodal Representation Learning of Cardiovascular Magnetic Resonance Imaging
Self-supervised learning is crucial for clinical imaging applications, g...
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03/09/2023
GOATS: Goal Sampling Adaptation for Scooping with Curriculum Reinforcement Learning
In this work, we first formulate the problem of goal-conditioned robotic...
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02/04/2023
Interpolation for Robust Learning: Data Augmentation on Geodesics
We propose to study and promote the robustness of a model as per its per...
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01/21/2023
Transfer Knowledge from Natural Language to Electrocardiography: Can We Detect Cardiovascular Disease Through Language Models?
Recent advancements in Large Language Models (LLMs) have drawn increasin...
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10/18/2022
Curriculum Reinforcement Learning using Optimal Transport via Gradual Domain Adaptation
Curriculum Reinforcement Learning (CRL) aims to create a sequence of tas...
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10/10/2022
Semantics-Consistent Cross-domain Summarization via Optimal Transport Alignment
Multimedia summarization with multimodal output (MSMO) is a recently exp...
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10/04/2022
Robustness Certification of Visual Perception Models via Camera Motion Smoothing
A vast literature shows that the learning-based visual perception model ...
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08/10/2022
An Empirical Exploration of Cross-domain Alignment between Language and Electroencephalogram
Electroencephalography (EEG) and language have been widely explored inde...
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08/02/2022
GeoECG: Data Augmentation via Wasserstein Geodesic Perturbation for Robust Electrocardiogram Prediction
There has been an increased interest in applying deep neural networks to...
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04/07/2022
MHMS: Multimodal Hierarchical Multimedia Summarization
Multimedia summarization with multimodal output can play an essential ro...
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03/19/2022
PhysioMTL: Personalizing Physiological Patterns using Optimal Transport Multi-Task Regression
Heart rate variability (HRV) is a practical and noninvasive measure of a...
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01/25/2022
Optimal Transport based Data Augmentation for Heart Disease Diagnosis and Prediction
In this paper, we focus on a new method of data augmentation to solve th...
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06/19/2021
Accelerated Policy Evaluation: Learning Adversarial Environments with Adaptive Importance Sampling
The evaluation of rare but high-stakes events remains one of the main di...
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02/07/2021
Functional Optimal Transport: Mapping Estimation and Domain Adaptation for Functional data
Optimal transport (OT) has generated much recent interest by its capabil...
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01/02/2021
Context-Aware Safe Reinforcement Learning for Non-Stationary Environments
Safety is a critical concern when deploying reinforcement learning agent...
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06/19/2020
Task-Agnostic Online Reinforcement Learning with an Infinite Mixture of Gaussian Processes
Continuously learning to solve unseen tasks with limited experience has ...
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06/18/2020
Robust Unsupervised Learning of Temporal Dynamic Interactions
Robust representation learning of temporal dynamic interactions is an im...
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03/02/2020
Spatiotemporal Learning of Multivehicle Interaction Patterns in Lane-Change Scenarios
Interpretation of common-yet-challenging interaction scenarios can benef...
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10/17/2019
Probabilistic Trajectory Prediction for Autonomous Vehicles with Attentive Recurrent Neural Process
Predicting surrounding vehicle behaviors are critical to autonomous vehi...
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10/17/2019
Recurrent Attentive Neural Process for Sequential Data
Neural processes (NPs) learn stochastic processes and predict the distri...
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07/17/2019
A General Framework of Learning Multi-Vehicle Interaction Patterns from Videos
Semantic learning and understanding of multi-vehicle interaction pattern...
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06/25/2019
Modeling Multi-Vehicle Interaction Scenarios Using Gaussian Random Field
Autonomous vehicles (AV) are expected to navigate in complex traffic sce...
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04/23/2019
Estimating Risk Levels of Driving Scenarios through Analysis of Driving Styles for Autonomous Vehicles
In order to operate safely on the road, autonomous vehicles need not onl...
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05/13/2018
