Search
Results
-
Comparing two approaches for evaluating a floorplan’s ability to change: SAGA and AOM
(2020)Sustainability in Energy and Buildings: Research AdvancesConference Paper -
Rendering Natural Camera Bokeh Effect with Deep Learning
(2020)2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW)Bokeh is an important artistic effect used to highlight the main object of interest on the photo by blurring all out-of-focus areas. While DSLR and system camera lenses can render this effect naturally, mobile cameras are unable to produce shallow depth-of-field photos due to a very small aperture diameter of their optics. Unlike the current solutions simulating bokeh by applying Gaussian blur to image background, in this paper we propose ...Conference Paper -
Long directed rainbow cycles and rainbow spanning trees
(2020)European Journal of CombinatoricsA subgraph of an edge-coloured graph is called rainbow if all its edges have different colours. The problem of finding rainbow subgraphs goes back to the work of Euler on transversals in Latin squares and was extensively studied since then. In this paper we consider two related questions concerning rainbow subgraphs of complete, edge-coloured graphs and digraphs. In the first part, we show that every properly edge-coloured complete directed ...Conference Paper -
Incentivizing stable path selection in future Internet architectures
(2020)Performance evaluationConference Paper -
MILP Formulation for Dynamic Demand Response of Electrolyzers
(2022)Computer Aided Chemical Engineering ~ 14th International Symposium on Process Systems EngineeringElectrolyzers can reduce their electricity costs through demand response (DR) by adapting their production rate to time-varying market prices. Although the production rate can often be adapted rapidly, exploiting the full DR potential of an electrolyzer requires to consider slow temperature dynamics, leading to challenging mixed-integer dynamic optimization problems. In this contribution, we propose a dynamic ramping reformulation for ...Conference Paper -
RotPredictor: Unsupervised Canonical Viewpoint Learning for Point Cloud Classification
(2020)2020 International Conference on 3D Vision (3DV)Recently, significant progress has been achieved in analyzing the 3D point cloud with deep learning techniques. However, existing networks suffer from poor generalization and robustness to arbitrary rotations applied to the input point cloud. Different from traditional strategies that improve the rotation robustness with data augmentation or specifically designed spherical representation or harmonics-based kernels, we propose to rotate ...Conference Paper -
Finite-Time In-Network Computation of Linear Transforms
(2020)2020 54th Asilomar Conference on Signals, Systems, and ComputersThis paper focuses on finite-time in-network computation of linear transforms of distributed graph data. Finite-time transform computation problems are of interest in graph-based computing and signal processing applications in which the objective is to compute, by means of distributed iterative methods, various (linear) transforms of the data distributed at the agents or nodes of the graph. While finite-time computation of consensus-type ...Conference Paper -
A Compiler for Sound Floating-Point Computations using Affine Arithmetic
(2022)2022 IEEE/ACM International Symposium on Code Generation and Optimization (CGO)Floating-point arithmetic is extensively used in scientific and engineering applications to approximate real arithmetic. Unfortunately, floating-point arithmetic is not a sound implementation of real arithmetic, i.e., it may produce different results, does not provide error guarantees, and the errors can become arbitrarily large. In this paper, we introduce SafeGen, a source-to-source compiler that rewrites a given C program using ...Conference Paper -
Coupling of Random Systems
(2020)Lecture Notes in Computer Science ~ Theory of CryptographyThis paper makes three contributions. First, we present a simple theory of random systems. The main idea is to think of a probabilistic system as an equivalence class of distributions over deterministic systems. Second, we demonstrate how in this new theory, the optimal information-theoretic distinguishing advantage between two systems can be characterized merely in terms of the statistical distance of probability distributions, providing ...Conference Paper -
Information Directed Sampling for Linear Partial Monitoring
(2020)Proceedings of Machine Learning Research ~ Proceedings of Thirty Third Conference on Learning TheoryPartial monitoring is a rich framework for sequential decision making under uncertainty that generalizes many well known bandit models, including linear, combinatorial and dueling bandits. We introduce information directed sampling (IDS) for stochastic partial monitoring with a linear reward and observation structure. IDS achieves adaptive worst-case regret rates that depend on precise observability conditions of the game. Moreover, we ...Conference Paper