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Jul 11, 2019
Cryptography and Security
Computer Vision
Machine Learning

Adversarial Objects Against LiDAR-Based Autonomous Driving Systems

Deep neural networks (DNNs) are found to be vulnerable against adversarial examples, which are carefully crafted inputs with a small magnitude of per…
Jul 11, 2019
Machine Learning

Learning to learn with quantum neural networks via classical neural …

Quantum Neural Networks (QNNs) are a promising variational learning paradigm with applications to near-term quantum processors, however they still fa…
Jul 11, 2019
Machine Learning
Applications
Methodology

Change point detection for graphical models in presence of missing …

We propose estimation methods for change points in high-dimensional covariance structures with an emphasis on challenging scenarios with missing valu…
Jul 11, 2019
Computation and Language

Incrementalizing RASA's Open-Source Natural Language Understanding …

As spoken dialogue systems and chatbots are gaining more widespread adoption, commercial and open-sourced services for natural language understanding…
Jul 11, 2019
Artificial Intelligence

Reward Advancement: Transforming Policy under Maximum Causal Entropy …

Many real-world human behaviors can be characterized as a sequential decision making processes, such as urban travelers choices of transport modes an…
Jul 11, 2019
Computer Vision
Machine Learning
Optimization and Control

Single Image Super-Resolution via CNN Architectures and TV-TV Minim…

Super-resolution (SR) is a technique that allows increasing the resolution of a given image. Having applications in many areas, from medical imaging …
Jul 11, 2019
Image and Video Processing
Computer Vision
Medical Physics

Assessing postural instability during cerebral hypoperfusion using …

Postural instability is prevalent in aging and neurodegenerative disease, decreasing quality of life and independence. Quantitatively monitoring bala…
Jul 11, 2019
By batschf
Machine Learning
Robotics
Applications

Performance Boundary Identification for the Evaluation of Automated …

Safety is an essential aspect in the facilitation of automated vehicle deployment. Current testing practices are not enough, and going beyond them le…
Jul 11, 2019
Machine Learning

Time2Vec: Learning a Vector Representation of Time

Time is an important feature in many applications involving events that occur synchronously and/or asynchronously. To effectively consume time inform…
Jul 11, 2019
Optimization and Control
Machine Learning

Adaptive Deep Learning for High Dimensional Hamilton-Jacobi-Bellman …

Computing optimal feedback controls for nonlinear systems generally requires solving Hamilton-Jacobi-Bellman (HJB) equations, which, in high dimensio…
Jul 11, 2019
Computer Vision

Graph Neural Based End-to-end Data Association Framework for Online …

In this work, we present an end-to-end framework to settle data association in online Multiple-Object Tracking (MOT). Given detection responses, we f…
Jul 11, 2019
Robotics
Computer Vision

Aerial Animal Biometrics: Individual Friesian Cattle Recovery and Vis…

This paper describes a computationally-enhanced M100 UAV platform with an onboard deep learning inference system for integrated computer vision and n…
Jul 11, 2019
By arbaazk
Robotics

Learning Safe Unlabeled Multi-Robot Planning with Motion Constraints

In this paper, we present a learning approach to goal assignment and trajectory planning for unlabeled robots operating in 2D, obstacle-filled worksp…
Jul 11, 2019
Machine Learning
Multimedia

Beyond Imitation: Generative and Variational Choreography via Machine…

Our team of dance artists, physicists, and machine learning researchers has collectively developed several original, configurable machine-learning to…
Jul 11, 2019
By nzs5368
Machine Learning
Statistics Theory

Gain with no Pain: Efficient Kernel-PCA by Nyström Sampling

In this paper, we propose and study a Nystr\"om based approach to efficient large scale kernel principal component analysis (PCA). The latter is a na…
Jul 11, 2019
Human-Computer Interaction

Backed by our supplementary studies, we underpinned the large potential of animal avatars for VR research and applications, be it for education or entertainment. To provide a starting point for future research, we proposed a number of different cont…

The Illusion of Animal Body Ownership and Its Potential for Virtual …

Virtual reality offers the unique possibility to experience a virtual representation as our own body. In contrast to previous research that predomina…
Jul 11, 2019
Image and Video Processing
Machine Learning
Tissues and Organs

retina-VAE: Variationally Decoding the Spectrum of Macular Disease

In this paper, we seek a clinically-relevant latent code for representing the spectrum of macular disease. Towards this end, we construct retina-VAE,…
Jul 11, 2019
By kvlin
Computer Vision

Cross-Domain Complementary Learning with Synthetic Data for Multi-Per…

The success of supervised deep learning depends on the training labels. However, data labeling at pixel-level is very expensive, and people have been…
Jul 11, 2019
Computation and Language
Machine Learning

Self-Regulated Interactive Sequence-to-Sequence Learning

Not all types of supervision signals are created equal: Different types of feedback have different costs and effects on learning. We show how self-re…
Jul 11, 2019
Data Structures and Algorithms
Computational Complexity
Computational Geometry
Cryptography and Security
Machine Learning

We would like to thank Amin Aminzadeh Gohari, Salman Beigi, and Mohammad Hossein Yassaee for helpful discussions.

Computational Concentration of Measure: Optimal Bounds, Reductions, a…

Product measures of dimension $n$ are known to be concentrated in Hamming distance: for any set $S$ in the product space of probability $\epsilon$, a…
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