activity
20172023
most citedDeep Graph Matching via Blackbox Differentiation of Combinatorial Solvers

75 citations · 276 across the 23 of their papers we have counts for

collaborators

24 papers

cs.MA2023

Synthesizing Resilient Strategies for Infinite-Horizon Objectives in Multi-Agent Systems

David Klaška, Antonín Kučera, Martin Kurečka +3

We consider the problem of synthesizing resilient and stochastically stable strategies for systems of cooperating agents striving to minimize the expected time between consecutive…

cs.GT2023

Mean Payoff Optimization for Systems of Periodic Service and Maintenance

David Klaška, Antonín Kučera, Vít Musil +1

Consider oriented graph nodes requiring periodic visits by a service agent. The agent moves among the nodes and receives a payoff for each completed service task, depending on the…

math.FA2022

Optimality problems in Orlicz spaces

Vít Musil, Luboš Pick, Jakub Takáč

In mathematical modelling, the data and solutions are represented as measurable functions and their quality is oftentimes captured by the membership to a certain function space. On…

math.FA2022★ 5 cited

Optimal Sobolev embeddings for the Ornstein-Uhlenbeck operator

Andrea Cianchi, Vít Musil, Luboš Pick

A comprehensive analysis of Sobolev-type inequalities for the Ornstein-Uhlenbeck operator in the Gauss space is offered. A unified approach is proposed, providing one with criteria…

cs.MA2022★ 1 cited

On-the-fly Adaptation of Patrolling Strategies in Changing Environments

Tomáš Brázdil, David Klaška, Antonín Kučera +3

We consider the problem of efficient patrolling strategy adaptation in a changing environment where the topology of Defender's moves and the importance of guarded targets change un…

cs.RO2022

General Optimization Framework for Recurrent Reachability Objectives

David Klaška, Antonín Kučera, Vít Musil +1

We consider the mobile robot path planning problem for a class of recurrent reachability objectives. These objectives are parameterized by the expected time needed to visit one pos…

cs.LG2022★ 11 cited

Backpropagation through Combinatorial Algorithms: Identity with Projection Works

Subham Sekhar Sahoo, Anselm Paulus, Marin Vlastelica +3

Embedding discrete solvers as differentiable layers has given modern deep learning architectures combinatorial expressivity and discrete reasoning capabilities. The derivative of t…

cs.MA2022

Minimizing Expected Intrusion Detection Time in Adversarial Patrolling

David Klaška, Antonín Kučera, Vít Musil +1

In adversarial patrolling games, a mobile Defender strives to discover intrusions at vulnerable targets initiated by an Attacker. The Attacker's utility is traditionally defined as…

cs.GT2021★ 3 cited

Regstar: Efficient Strategy Synthesis for Adversarial Patrolling Games

David Klaška, Antonín Kučera, Vít Musil +1

We design a new efficient strategy synthesis method applicable to adversarial patrolling problems on graphs with arbitrary-length edges and possibly imperfect intrusion detection.…

cs.LG2021★ 12 cited

CombOptNet: Fit the Right NP-Hard Problem by Learning Integer Programming Constraints

Anselm Paulus, Michal Rolínek, Vít Musil +2

Bridging logical and algorithmic reasoning with modern machine learning techniques is a fundamental challenge with potentially transformative impact. On the algorithmic side, many…

math.FA2020★ 1 cited

Sharp exponential inequalities for the Ornstein-Uhlenbeck operator

Andrea Cianchi, Vít Musil, Luboš Pick

The optimal constants in a class of exponential type inequalities for the Ornstein-Uhlenbeck operator in the Gauss space are detected. The existence of extremal functions in the re…

math.FA2020★ 11 cited

Maximal non-compactness of Sobolev embeddings

Jan Lang, Vít Musil, Miroslav Olšák +1

It has been known that sharp Sobolev embeddings into weak Lebesgue spaces are non-compact but the question of whether the measure of non-compactness of such an embedding equals to…

cs.LG2020★ 75 cited

Deep Graph Matching via Blackbox Differentiation of Combinatorial Solvers

Michal Rolínek, Paul Swoboda, Dominik Zietlow +3

Building on recent progress at the intersection of combinatorial optimization and deep learning, we propose an end-to-end trainable architecture for deep graph matching that contai…

math.FA2020★ 4 cited

On the existence of extremals for Moser type inequalities in Gauss space

Andrea Cianchi, Vít Musil, Luboš Pick

The existence of an extremal in an exponential Sobolev type inequality, with optimal constant, in Gauss space is established. A key step in the proof is an augmented version of the…

math.FA2019★ 8 cited

Optimal Orlicz domains in Sobolev embeddings into Marcinkiewicz spaces

Vít Musil

In this paper we present a method for determining whether there exists a largest Orlicz space satisfying the Sobolev embedding where stands for…

cs.LG2019★ 66 cited

Optimizing Rank-based Metrics with Blackbox Differentiation

Michal Rolínek, Vít Musil, Anselm Paulus +3

Rank-based metrics are some of the most widely used criteria for performance evaluation of computer vision models. Despite years of effort, direct optimization for these metrics re…

cs.LG2019

Differentiation of Blackbox Combinatorial Solvers

Marin Vlastelica, Anselm Paulus, Vít Musil +2

Achieving fusion of deep learning with combinatorial algorithms promises transformative changes to artificial intelligence. One possible approach is to introduce combinatorial buil…

math.FA2019★ 8 cited

Moser inequalities in Gauss space

Andrea Cianchi, Vít Musil, Luboš Pick

The sharp constants in a family of exponential Sobolev type inequalities in Gauss space are exhibited. They constitute the Gaussian analogues of the Moser inequality in the borderl…

math.FA2019★ 30 cited

Boundedness of classical operators on rearrangement-invariant spaces

David E. Edmunds, Zdeněk Mihula, Vít Musil +1

We study the behaviour on rearrangement-invariant spaces of such classical operators of interest in harmonic analysis as the Hardy-Littlewood maximal operator (including the fracti…

math.FA2018★ 9 cited

Fractional Maximal Operator in Orlicz spaces

Vít Musil

We study the fractional maximal operator acting between Orlicz spaces. We characterise whether the operator is bounded between two given Orlicz spaces. Also a necessary and suffici…

math.FA2017★ 10 cited

Strict s-numbers of non-compact Sobolev embeddings into continuous functions

Jan Lang, Vít Musil

For limiting non-compact Sobolev embeddings into continuous functions we study behavior of Approximation, Gelfand, Kolmogorov, Bernstein and Isomorphism s-numbers. In the one dimen…

math.FA2017★ 11 cited

Optimal domain spaces in Orlicz-Sobolev embeddings

Andrea Cianchi, Vít Musil

We deal with Orlicz-Sobolev embeddings in open subsets of . A necessary and sufficient condition is established for the existence of an optimal, i.e. largest possible…

math.FA2017★ 3 cited

Strict s-numbers of the Volterra operator

Özlem Bakşi, Taqseer Khan, Jan Lang +1

For Volterra operator and summation operator , we obtain exact values of Approximation, Gelfand, Kolmogorov, Mityagin and Isomor…

math.FA2017★ 8 cited

Interpolation theorem for Marcinkiewicz spaces with applications to Lorentz gamma spaces

Vít Musil, Rastislav Oľhava

This paper is devoted to the interpolation principle between spaces of weak type. We characterise interpolation spaces between two Marcinkiewicz spaces in terms of Hardy type opera…