research
∙
07/02/2023
Bounce: a Reliable Bayesian Optimization Algorithm for Combinatorial and Mixed Spaces
Impactful applications such as materials discovery, hardware design, neu...
share
research
∙
06/21/2023
PriorBand: Practical Hyperparameter Optimization in the Age of Deep Learning
Hyperparameters of Deep Learning (DL) pipelines are crucial for their do...
research
∙
05/16/2023
Out-of-Distribution Detection for Adaptive Computer Vision
It is well known that computer vision can be unreliable when faced with ...
research
∙
04/22/2023
Increasing the Scope as You Learn: Adaptive Bayesian Optimization in Nested Subspaces
Recent advances have extended the scope of Bayesian optimization (BO) to...
research
∙
04/21/2023
Self-Correcting Bayesian Optimization through Bayesian Active Learning
Gaussian processes are cemented as the model of choice in Bayesian optim...
research
∙
12/07/2022
Combining Planning, Reasoning and Reinforcement Learning to solve Industrial Robot Tasks
One of today's goals for industrial robot systems is to allow fast and e...
research
∙
12/01/2022
BaCO: A Fast and Portable Bayesian Compiler Optimization Framework
We introduce the Bayesian Compiler Optimization framework (BaCO), a gene...
research
∙
09/14/2022
Falsification of Cyber-Physical Systems using Bayesian Optimization
Cyber-physical systems (CPSs) are usually complex and safety-critical; h...
research
∙
08/02/2022
Learning Skill-based Industrial Robot Tasks with User Priors
Robot skills systems are meant to reduce robot setup time for new manufa...
research
∙
06/11/2022
Homunculus: Auto-Generating Efficient Data-Plane ML Pipelines for Datacenter Networks
Support for Machine Learning (ML) applications in networks has significa...
research
∙
06/09/2022
Joint Entropy Search For Maximally-Informed Bayesian Optimization
Information-theoretic Bayesian optimization techniques have become popul...
research
∙
04/23/2022
Ï€BO: Augmenting Acquisition Functions with User Beliefs for Bayesian Optimization
Bayesian optimization (BO) has become an established framework and popul...
research
∙
03/18/2022
Skill-based Multi-objective Reinforcement Learning of Industrial Robot Tasks with Planning and Knowledge Integration
In modern industrial settings with small batch sizes it should be easy t...
research
∙
11/04/2021
LassoBench: A High-Dimensional Hyperparameter Optimization Benchmark Suite for Lasso
Even though Weighted Lasso regression has appealing statistical guarante...
research
∙
09/27/2021
Learning of Parameters in Behavior Trees for Movement Skills
Reinforcement Learning (RL) is a powerful mathematical framework that al...
research
∙
06/25/2020
Prior-guided Bayesian Optimization
While Bayesian Optimization (BO) is a very popular method for optimizing...
research
∙
05/24/2019
Polystore++: Accelerated Polystore System for Heterogeneous Workloads
Modern real-time business analytic consist of heterogeneous workloads (e...
research
∙
04/26/2019
DeepFreak: Learning Crystallography Diffraction Patterns with Automated Machine Learning
Serial crystallography is the field of science that studies the structur...
research
∙
10/11/2018
Practical Design Space Exploration
Multi-objective optimization is a crucial matter in computer systems des...
research
∙
08/21/2018
SLAMBench2: Multi-Objective Head-to-Head Benchmarking for Visual SLAM
SLAM is becoming a key component of robotics and augmented reality (AR) ...
research
∙
08/20/2018
Navigating the Landscape for Real-time Localisation and Mapping for Robotics and Virtual and Augmented Reality
Visual understanding of 3D environments in real-time, at low power, is a...
research
∙
06/04/2018
Analysis of DAWNBench, a Time-to-Accuracy Machine Learning Performance Benchmark
The deep learning community has proposed optimizations spanning hardware...
research
∙
02/02/2017
Algorithmic Performance-Accuracy Trade-off in 3D Vision Applications Using HyperMapper
In this paper we investigate an emerging application, 3D scene understan...
research
∙
04/20/2016
A structure-exploiting numbering algorithm for finite elements on extruded meshes, and its performance evaluation in Firedrake
We present a generic algorithm for numbering and then efficiently iterat...
research
∙
09/15/2015
Comparative Design Space Exploration of Dense and Semi-Dense SLAM
SLAM has matured significantly over the past few years, and is beginning...
research
∙
08/17/2015
Reasoning in complex environments with the SelectScript declarative language
SelectScript is an extendable, adaptable, and declarative domain-specifi...
research
∙
10/08/2014
