4 citations · 4 across the 3 of their papers we have counts for
7 papers
Interpretable Self-Aware Neural Networks for Robust Trajectory Prediction
Masha Itkina, Mykel J. Kochenderfer
Although neural networks have seen tremendous success as predictive models in a variety of domains, they can be overly confident in their predictions on out-of-distribution (OOD) d…
How Do We Fail? Stress Testing Perception in Autonomous Vehicles
Harrison Delecki, Masha Itkina, Bernard Lange +2
Autonomous vehicles (AVs) rely on environment perception and behavior prediction to reason about agents in their surroundings. These perception systems must be robust to adverse we…
Evidential Softmax for Sparse Multimodal Distributions in Deep Generative Models
Phil Chen, Masha Itkina, Ransalu Senanayake +1
Many applications of generative models rely on the marginalization of their high-dimensional output probability distributions. Normalization functions that yield sparse probability…
Out-of-Distribution Detection for Automotive Perception
Julia Nitsch, Masha Itkina, Ransalu Senanayake +5
Neural networks (NNs) are widely used for object classification in autonomous driving. However, NNs can fail on input data not well represented by the training dataset, known as ou…
Attention Augmented ConvLSTM for Environment Prediction
Bernard Lange, Masha Itkina, Mykel J. Kochenderfer
Safe and proactive planning in robotic systems generally requires accurate predictions of the environment. Prior work on environment prediction applied video frame prediction techn…
Evidential Sparsification of Multimodal Latent Spaces in Conditional Variational Autoencoders
Masha Itkina, Boris Ivanovic, Ransalu Senanayake +2
Discrete latent spaces in variational autoencoders have been shown to effectively capture the data distribution for many real-world problems such as natural language understanding,…