Impactful applications such as materials discovery, hardware design, neu...
Hyperparameters of Deep Learning (DL) pipelines are crucial for their
do...
It is well known that computer vision can be unreliable when faced with
...
Recent advances have extended the scope of Bayesian optimization (BO) to...
Gaussian processes are cemented as the model of choice in Bayesian
optim...
One of today's goals for industrial robot systems is to allow fast and e...
We introduce the Bayesian Compiler Optimization framework (BaCO), a gene...
Cyber-physical systems (CPSs) are usually complex and safety-critical; h...
Robot skills systems are meant to reduce robot setup time for new
manufa...
Support for Machine Learning (ML) applications in networks has significa...
Information-theoretic Bayesian optimization techniques have become popul...
Bayesian optimization (BO) has become an established framework and popul...
In modern industrial settings with small batch sizes it should be easy t...
Even though Weighted Lasso regression has appealing statistical guarante...
Reinforcement Learning (RL) is a powerful mathematical framework that al...
While Bayesian Optimization (BO) is a very popular method for optimizing...
Modern real-time business analytic consist of heterogeneous workloads (e...
Serial crystallography is the field of science that studies the structur...
Multi-objective optimization is a crucial matter in computer systems des...
SLAM is becoming a key component of robotics and augmented reality (AR)
...
Visual understanding of 3D environments in real-time, at low power, is a...
The deep learning community has proposed optimizations spanning hardware...
In this paper we investigate an emerging application, 3D scene understan...
We present a generic algorithm for numbering and then efficiently iterat...
SLAM has matured significantly over the past few years, and is beginning...
SelectScript is an extendable, adaptable, and declarative domain-specifi...
Real-time dense computer vision and SLAM offer great potential for a new...