Sotabase

Career

· Assistant Professor, Arizona State University2023–
· Director, LENS Lab2023–
· Postdoctoral Scholar, Stanford University2019–2023
· Graduate Research And Teaching Assistant, University of Sydney2015–2019
· Lecturer In Electrical And Computer Engineering, SLIIT2013–2015
· Graduate Research And Teaching Assistant, The Hong Kong University of Science and Technology2012–2013
· Chair Co-founder, Student Branch of SLIIT2011–2012
· Associate Electronics Engineer (Intern), Zone24x72011–2012
· Internship Trainee, Sri Lanka Telecom PLC2009–2010

Publications (49)

Modeling Human Driving Behavior Through Generative Adversarial Imitation Learning
2020
130
cited
Out-of-Distribution Detection for Automotive Perception
International Conference on Intelligent Transportation Systems · 2020
71
cited
Spatiotemporal Learning of Directional Uncertainty in Urban Environments With Kernel Recurrent Mixture Density Networks
2019
41
cited
A Hybrid Rule-Based and Data-Driven Approach to Driver Modeling Through Particle Filtering
IEEE transactions on intelligent transportation systems (Print) · 2021
36
cited
Online Parameter Estimation for Human Driver Behavior Prediction
2020
35
cited
Continuous Occupancy Map Fusion with Fast Bayesian Hilbert Maps
2019
33
cited
Disentangling Epistemic and Aleatoric Uncertainty in Reinforcement Learning
2022
32
cited
Double-Prong ConvLSTM for Spatiotemporal Occupancy Prediction in Dynamic Environments
IEEE International Conference on Robotics and Automation · 2020
25
cited
How Do We Fail? Stress Testing Perception in Autonomous Vehicles
2022
25
cited
Dynamic Hilbert Maps: Real-Time Occupancy Predictions in Changing Environments
2019
24
cited
Model Predictive Optimized Path Integral Strategies
2022
22
cited
Out of Distribution Detection and Adversarial Attacks on Deep Neural Networks for Robust Medical Image Analysis
2021
22
cited
FIG-OP: Exploring Large-Scale Unknown Environments on a Fixed Time Budget
2022
21
cited
Evidential Sparsification of Multimodal Latent Spaces in Conditional Variational Autoencoders
Neural Information Processing Systems · 2020
18
cited
Time-varying Pedestrian Flow Models for Service Robots
2019
17
cited
Failures Are Fated, But Can Be Faded: Characterizing and Mitigating Unwanted Behaviors in Large-Scale Vision and Language Models
2024
11
cited
Online Domain Adaptation for Occupancy Mapping
2020
11
cited
The Role of Predictive Uncertainty and Diversity in Embodied AI and Robot Learning
2024
11
cited
CoCo Games: Graphical Game-Theoretic Swarm Control for Communication-Aware Coverage
2021
9
cited
Evidential Softmax for Sparse Multimodal Distributions in Deep Generative Models
Neural Information Processing Systems · 2021
9
cited
Sotabase