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Rousu, Juho

  1. Non-Stationary Gaussian Process Regression with Hamiltonian Monte Carlo
    2015/08/18 by Markus Heinonen, Heinonen, Markus, Henrik Mannerström +7 · 7 citations
    Computer Science · Mathematics · #Gaussian Processes and Bayesian Inference #Advanced Multi-Objective Optimization Algorithms #Markov Chains and Monte Carlo Methods
  2. MassSpecGym: A benchmark for the discovery and identification of molecules
    2024/10/30 by Roman Bushuiev, Bushuiev, Roman, Anton Bushuiev +57 · 2 voices · 11 citations
    Biochemistry, Genetics and Molecular Biology · Computer Science · #q-bio.QM #cs.LG
  3. Learning to Predict Graphs with Fused Gromov-Wasserstein Barycenters
    2022/02/08 by Luc Brogat-Motte, Rémi Flamary, Brogat-Motte, Luc +7 · 4 citations
    Computer Science · #Advanced Graph Neural Networks #FOS: Computer and information sciences #Generative Adversarial Networks and Image Synthesis #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Stochastic Gradient Optimization Techniques
  4. A Solution for Large Scale Nonlinear Regression with High Rank and\n Degree at Constant Memory Complexity via Latent Tensor Reconstruction
    2020/05/04 by Sándor Szedmák, Anna Cichońska, Szedmak, Sandor +7 · 1 citation
    Computer Science · Mathematics · #Advanced Neural Network Applications #Computational Physics and Python Applications #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Machine Learning and Algorithms #Tensor decomposition and applications
  5. Vector-Valued Least-Squares Regression under Output Regularity\n Assumptions
    2022/11/16 by Luc Brogat-Motte, Alessandro Rudi, Brogat-Motte, Luc +7 · 1 citation
    Computer Science · Engineering · Mathematics · #Advanced Statistical Methods and Models #FOS: Computer and information sciences #Face and Expression Recognition #Fault Detection and Control Systems #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Machine Learning and Algorithms #Sparse and Compressive Sensing Techniques #Statistical Methods and Inference
  6. Scalable variable selection for two-view learning tasks with projection operators
    2023/07/04 by Szedmak, Sandor, Huusari, Riikka, Le, Tat Hong Duong +1 · 1 citation
    #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Machine Learning (cs.LG)