Rousu, Juho

19 publications

NeurIPS 2024 MassSpecGym: A Benchmark for the Discovery and Identification of Molecules Roman Bushuiev, Anton Bushuiev, Niek F. de Jonge, Adamo Young, Fleming Kretschmer, Raman Samusevich, Janne Heirman, Fei Wang, Luke Zhang, Kai Dührkop, Marcus Ludwig, Nils A. Haupt, Apurva Kalia, Corinna Brungs, Robin Schmid, Russell Greiner, Bo Wang, David S. Wishart, Li-Ping Liu, Juho Rousu, Wout Bittremieux, Hannes Rost, Tytus D. Mak, Soha Hassoun, Florian Huber, Justin J.J. van der Hooft, Michael A. Stravs, Sebastian Böcker, Josef Sivic, Tomáš Pluskal

MLJ 2024 Scalable Variable Selection for Two-View Learning Tasks with Projection Operators Sándor Szedmák, Riikka Huusari, Tat Hong Duong Le, Juho Rousu

ICML 2022 Learning to Predict Graphs with Fused Gromov-Wasserstein Barycenters Luc Brogat-Motte, Rémi Flamary, Celine Brouard, Juho Rousu, Florence D’Alché-Buc

JMLR 2022 Vector-Valued Least-Squares Regression Under Output Regularity Assumptions Luc Brogat-Motte, Alessandro Rudi, Céline Brouard, Juho Rousu, Florence d'Alché-Buc

ICML 2019 Large-Scale Sparse Kernel Canonical Correlation Analysis Viivi Uurtio, Sahely Bhadra, Juho Rousu

ACML 2017 Magnitude-Preserving Ranking for Structured Outputs Céline Brouard, Eric Bach, Sebastian Böcker, Juho Rousu

MLJ 2017 Multi-View Kernel Completion Sahely Bhadra, Samuel Kaski, Juho Rousu

AISTATS 2016 Non-Stationary Gaussian Process Regression with Hamiltonian Monte Carlo Markus Heinonen, Henrik Mannerström, Juho Rousu, Samuel Kaski, Harri Lähdesmäki

MLJ 2015 Multilabel Classification Through Random Graph Ensembles Hongyu Su, Juho Rousu

NeurIPS 2014 Multilabel Structured Output Learning with Random Spanning Trees of Max-Margin Markov Networks Mario Marchand, Hongyu Su, Emilie Morvant, Juho Rousu, John S Shawe-Taylor

ICML 2014 Structured Prediction of Network Response Hongyu Su, Aristides Gionis, Juho Rousu

ACML 2013 Multilabel Classification Through Random Graph Ensembles Hongyu Su, Juho Rousu

JMLR 2006 Kernel-Based Learning of Hierarchical Multilabel Classification Models Juho Rousu, Craig Saunders, Sandor Szedmak, John Shawe-Taylor

ECML-PKDD 2005 Approximation Algorithms for Minimizing Empirical Error by Axis-Parallel Hyperplanes Tapio Elomaa, Jussi Kujala, Juho Rousu

JMLR 2005 Efficient Computation of Gapped Substring Kernels on Large Alphabets Juho Rousu, John Shawe-Taylor

ICML 2005 Learning Hierarchical Multi-Category Text Classification Models Juho Rousu, Craig Saunders, Sándor Szedmák, John Shawe-Taylor

ICML 2002 Fast Minimum Training Error Discretization Tapio Elomaa, Juho Rousu

AAAI 2000 Generalizing Boundary Points Tapio Elomaa, Juho Rousu

MLJ 1999 General and Efficient Multisplitting of Numerical Attributes Tapio Elomaa, Juho Rousu