Pevný, Tomáš

15 publications

ICLR 2025 Generating Likely Counterfactuals Using Sum-Product Networks Jiří Němeček, Tomáš Pevný, Jakub Marecek

UAI 2025 Probabilistic Graph Circuits: Deep Generative Models for Tractable Probabilistic Inference over Graphs Milan Papez, Martin Rektoris, Vaclav Smidl, Tomáš Pevný

AAAI 2025 State Encodings for GNN-Based Lifted Planners Rostislav Horcík, Gustav Sír, Vítezslav Simek, Tomás Pevný

MLJ 2024 Classification with Costly Features in Hierarchical Deep Sets Jaromír Janisch, Tomás Pevný, Viliam Lisý

ICLR 2024 Sum-Product-Set Networks: Deep Tractable Models for Tree-Structured Graphs Milan Papez, Martin Rektoris, Vaclav Smidl, Tomáš Pevný

NeurIPS 2023 Optimize Planning Heuristics to Rank, Not to Estimate Cost-to-Goal Leah Chrestien, Stefan Edelkamp, Antonin Komenda, Tomas Pevny

MLOSS 2022 JsonGrinder.jl: Automated Differentiable Neural Architecture for Embedding Arbitrary JSON Data Šimon Mandlík, Matěj Račinský, Viliam Lisý, Tomáš Pevný

MLJ 2020 Classification with Costly Features as a Sequential Decision-Making Problem Jaromír Janisch, Tomás Pevný, Viliam Lisý

NeurIPS 2020 Neural Power Units Niklas Heim, Tomas Pevny, Vasek Smidl

PGM 2020 Sum-Product-Transform Networks: Exploiting Symmetries Using Invertible Transformations Tomáš Pevný, Václav Smídl, Martin Trapp, Ondřej Poláček, Tomáš Oberhuber

AAAI 2019 Classification with Costly Features Using Deep Reinforcement Learning Jaromír Janisch, Tomás Pevný, Viliam Lisý

MLJ 2019 Joint Detection of Malicious Domains and Infected Clients Paul Prasse, René Knaebel, Lukás Machlica, Tomás Pevný, Tobias Scheffer

ECML-PKDD 2017 Malware Detection by Analysing Encrypted Network Traffic with Neural Networks Paul Prasse, Lukás Machlica, Tomás Pevný, Jirí Havelka, Tobias Scheffer

MLJ 2016 Loda: Lightweight On-Line Detector of Anomalies Tomás Pevný

ECML-PKDD 2014 Randomized Operating Point Selection in Adversarial Classification Viliam Lisý, Robert Kessl, Tomás Pevný