activity
20142021
most citedMachine learning approach to chance-constrained problems: An algorithm based on the stochastic gradient descent

8 citations · 10 across the 9 of their papers we have counts for

collaborators

11 papers

cs.CV2021

Adversarial examples by perturbing high-level features in intermediate decoder layers

Vojtěch Čermák, Lukáš Adam

We propose a novel method for creating adversarial examples. Instead of perturbing pixels, we use an encoder-decoder representation of the input image and perturb intermediate laye…

math.OC2020

Solvability of the Power Flow Problem in DC Overhead Wire Circuit

Jakub Ševčík, Lukáš Adam, Jan Přikryl +1

Proper traffic simulation of electric vehicles, which draw energy from overhead wires, requires adequate modeling of traction infrastructure. Such vehicles include trains, trams or…

cs.GT2020

Double Oracle Algorithm for Computing Equilibria in Continuous Games

Lukáš Adam, Rostislav Horčík, Tomáš Kasl +1

Many efficient algorithms have been designed to recover Nash equilibria of various classes of finite games. Special classes of continuous games with infinite strategy spaces, such…

cs.LG2020

DeepTopPush: Simple and Scalable Method for Accuracy at the Top

Václav Mácha, Lukáš Adam, Václav Šmídl

Accuracy at the top is a special class of binary classification problems where the performance is evaluated only on a small number of relevant (top) samples. Applications include i…

cs.LG2020

General Framework for Binary Classification on Top Samples

Lukáš Adam, Václav Mácha, Václav Šmídl +1

Many binary classification problems minimize misclassification above (or below) a threshold. We show that instances of ranking problems, accuracy at the top or hypothesis testing m…

cs.LG2020★ 2 cited

Nonlinear classifiers for ranking problems based on kernelized SVM

Václav Mácha, Lukáš Adam, Václav Šmídl

Many classification problems focus on maximizing the performance only on the samples with the highest relevance instead of all samples. As an example, we can mention ranking proble…