Topi Talvitie

According to our database, Topi Talvitie authored at least 17 papers between 2014 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2024

Approximate Counting of Linear Extensions in Practice.

Topi Talvitie, Mikko Koivisto

J. Artif. Intell. Res., 2024

2022

An efficient algorithm for counting Markov equivalent DAGs.

Robert Ganian, Thekla Hamm, Topi Talvitie

Artif. Intell., 2022

2021

Visible Light Spectrum Extraction from Diffraction Images by Deconvolution and the Cepstrum.

Mikko E. Toivonen, Topi Talvitie, Chang Rajani, Arto Klami

J. Imaging, 2021

2020

Learning Bayesian Networks with Cops and Robbers.

Topi Talvitie, Pekka Parviainen

Proceedings of the International Conference on Probabilistic Graphical Models, 2020

A Bayesian Approach for Estimating Causal Effects from Observational Data.

Johan Pensar, Topi Talvitie, Antti Hyttinen, Mikko Koivisto

Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019

Counting and Sampling Directed Acyclic Graphs for Learning Bayesian Networks.

Topi Talvitie

PhD thesis, 2019

Learning Bayesian networks with local structure, mixed variables, and exact algorithms.

Topi Talvitie, Ralf Eggeling, Mikko Koivisto

Int. J. Approx. Reason., 2019

Exact Sampling of Directed Acyclic Graphs from Modular Distributions.

Topi Talvitie, Aleksis Vuoksenmaa, Mikko Koivisto

Proceedings of the Thirty-Fifth Conference on Uncertainty in Artificial Intelligence, 2019

Counting and Sampling Markov Equivalent Directed Acyclic Graphs.

Topi Talvitie, Mikko Koivisto

Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

2018

Finding Optimal Bayesian Networks with Local Structure.

Topi Talvitie, Ralf Eggeling, Mikko Koivisto

Proceedings of the International Conference on Probabilistic Graphical Models, 2018

A Scalable Scheme for Counting Linear Extensions.

Topi Talvitie, Kustaa Kangas, Teppo Mikael Niinimäki, Mikko Koivisto

Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, 2018

Counting Linear Extensions in Practice: MCMC Versus Exponential Monte Carlo.

Topi Talvitie, Kustaa Kangas, Teppo Mikael Niinimäki, Mikko Koivisto

Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018

2017

The Mixing of Markov Chains on Linear Extensions in Practice.

Topi Talvitie, Teppo Mikael Niinimäki, Mikko Koivisto

Proceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence, 2017

2016

Shortest path to a segment and quickest visibility queries.

Valentin Polishchuk, Esther M. Arkin, Alon Efrat, Christian Knauer, Joseph S. B. Mitchell, Günter Rote, Lena Schlipf, Topi Talvitie

J. Comput. Geom., 2016

2015

Geometric <i>k</i> Shortest Paths.

Sylvester David Eriksson-Bique, John Hershberger, Valentin Polishchuk, Bettina Speckmann, Subhash Suri, Topi Talvitie, Kevin Verbeek, Hakan Yildiz

Proceedings of the Twenty-Sixth Annual ACM-SIAM Symposium on Discrete Algorithms, 2015

Visualizing Quickest Visibility Maps.

Topi Talvitie

Proceedings of the 31st International Symposium on Computational Geometry, 2015

2014

Geometric kth Shortest Paths: the Applet.

John Hershberger, Valentin Polishchuk, Bettina Speckmann, Topi Talvitie

Proceedings of the 30th Annual Symposium on Computational Geometry, 2014