Lukas Michel

15 papers A* 1A 1Journal 13
YearRankTypeTitle / Venue / Authors
2026 J jnl
Small Families of Partially Shattering Permutations.
Comb.
António Girão, Lukas Michel, Youri Tamitegama
2025 A* conf
Cycle-factors of regular graphs via entropy.
FOCS
Micha Christoph, Nemanja Draganic, António Girão, Eoin Hurley, Lukas Michel, Alp Müyesser
2025 J jnl
Cycle-factors of regular graphs via entropy.
CoRR
Micha Christoph, Nemanja Draganic, António Girão, Eoin Hurley, Lukas Michel, Alp Müyesser
2025 J jnl
Exponential Odd-Distance Sets under the Manhattan Metric.
Electron. J. Comb.
Alberto Espuny Díaz, Emma Hogan, Freddie Illingworth, Lukas Michel, Julien Portier, Jun Yan
2025 J jnl
Improved exploration of temporal graphs.
CoRR
Paul Bastide, Carla Groenland, Lukas Michel, Clément Rambaud
2025 J jnl
Infinite Schnyder Woods.
CoRR
Louigi Addario-Berry, Emma Hogan, Lukas Michel, Alex Scott
2025 J jnl
Lower bounds for graph reconstruction with maximal independent set queries.
Theor. Comput. Sci.
Lukas Michel, Alex D. Scott
2024 J jnl
Chromatic number is not tournament-local.
J. Comb. Theory B
António Girão, Kevin Hendrey, Freddie Illingworth, Florian Lehner, Lukas Michel, Michael Savery, Raphael Steiner
2024 J jnl
Circuit Decompositions of Binary Matroids.
SIAM J. Discret. Math.
Bryce Frederickson, Lukas Michel
2024 J jnl
Flashes and Rainbows in Tournaments.
Comb.
António Girão, Freddie Illingworth, Lukas Michel, Michael Savery, Alex D. Scott
2024 J jnl
Lower bounds for graph reconstruction with maximal independent set queries.
CoRR
Lukas Michel, Alex D. Scott
2024 J jnl
Publisher Erratum: Flashes and Rainbows in Tournaments.
Comb.
António Girão, Freddie Illingworth, Lukas Michel, Michael Savery, Alex Scott
2024 J jnl
Reconstructing a Point Set from a Random Subset of Its Pairwise Distances.
SIAM J. Discret. Math.
António Girão, Freddie Illingworth, Lukas Michel, Emil Powierski, Alex D. Scott
2023 J jnl
Superpolynomial smoothed complexity of 3-FLIP in Local Max-Cut.
CoRR
Lukas Michel, Alex Scott
2020 A conf
Finite-Memory Near-Optimal Learning for Markov Decision Processes with Long-Run Average Reward.
UAI
Jan Kretínský, Fabian Michel, Lukas Michel, Guillermo A. Pérez