Marttinen, Pekka

23 publications

TMLR 2025 Efficient Knowledge Injection in LLMs via Self-Distillation Kalle Kujanpää, Pekka Marttinen, Harri Valpola, Alexander Ilin

ICLR 2025 Identifying Latent State Transitions in Non-Linear Dynamical Systems Çağlar Hızlı, Çağatay Yıldız, Matthias Bethge, S. T. John, Pekka Marttinen

TMLR 2025 Video-Language Critic: Transferable Reward Functions for Language-Conditioned Robotics Minttu Alakuijala, Reginald McLean, Isaac Woungang, Nariman Farsad, Samuel Kaski, Pekka Marttinen, Kai Yuan

NeurIPS 2024 Generating Code World Models with Large Language Models Guided by Monte Carlo Tree Search Nicola Dainese, Matteo Merler, Minttu Alakuijala, Pekka Marttinen

TMLR 2024 Identifiable Causal Inference with Noisy Treatment and No Side Information Antti Pöllänen, Pekka Marttinen

ICMLW 2024 Identifying Latent State Transition in Non-Linear Dynamical Systems Çağlar Hızlı, Çagatay Yildiz, Matthias Bethge, S. T. John, Pekka Marttinen

ECCV 2024 Improving Medical Multi-Modal Contrastive Learning with Expert Annotations Yogesh Kumar, Pekka Marttinen

NeurIPS 2024 Kernel Language Entropy: Fine-Grained Uncertainty Quantification for LLMs from Semantic Similarities Alexander Nikitin, Jannik Kossen, Yarin Gal, Pekka Marttinen

NeurIPSW 2024 Recursive Decomposition with Dependencies for Generic Divide-and-Conquer Reasoning Sergio Hernández-Gutiérrez, Minttu Alakuijala, Alexander V Nikitin, Pekka Marttinen

ICML 2023 Causal Modeling of Policy Interventions from Treatment-Outcome Sequences Çağlar Hızlı, S. T. John, Anne Tuulikki Juuti, Tuure Tapani Saarinen, Kirsi Hannele Pietiläinen, Pekka Marttinen

AISTATS 2023 Incorporating Functional Summary Information in Bayesian Neural Networks Using a Dirichlet Process Likelihood Approach Vishnu Raj, Tianyu Cui, Markus Heinonen, Pekka Marttinen

NeurIPS 2023 Temporal Causal Mediation Through a Point Process: Direct and Indirect Effects of Healthcare Interventions Çağlar Hızlı, St John, Anne Juuti, Tuure Saarinen, Kirsi Pietiläinen, Pekka Marttinen

ECML-PKDD 2023 Weak Supervision and Clustering-Based Sample Selection for Clinical Named Entity Recognition Wei Sun, Shaoxiong Ji, Tuulia Denti, Hans Moen, Oleg Kerro, Antti Rannikko, Pekka Marttinen, Miika Koskinen

ECML-PKDD 2022 Contextualized Graph Embeddings for Adverse Drug Event Detection Ya Gao, Shaoxiong Ji, Tongxuan Zhang, Prayag Tiwari, Pekka Marttinen

NeurIPS 2022 Deconfounded Representation Similarity for Comparison of Neural Networks Tianyu Cui, Yogesh Kumar, Pekka Marttinen, Samuel Kaski

NeurIPSW 2022 HAPNEST: An Efficient Tool for Generating Large-Scale Genetics Datasets from Limited Training Data Sophie Wharrie, Zhiyu Yang, Vishnu Raj, Remo Monti, Rahul Gupta, Ying Wang, Alicia Martin, Luke J O'Connor, Samuel Kaski, Pekka Marttinen, Pier Palamara, Christoph Lippert, Andrea Ganna

NeurIPSW 2022 Joint Point Process Model for Counterfactual Treatment-Outcome Trajectories Under Policy Interventions Çağlar Hızlı, S. T. John, Anne Tuulikki Juuti, Tuure Tapani Saarinen, Kirsi Hannele Pietiläinen, Pekka Marttinen

NeurIPS 2021 A Critical Look at the Consistency of Causal Estimation with Deep Latent Variable Models Severi Rissanen, Pekka Marttinen

ECML-PKDD 2021 Multitask Recalibrated Aggregation Network for Medical Code Prediction Wei Sun, Shaoxiong Ji, Erik Cambria, Pekka Marttinen

UAI 2020 Batch Simulations and Uncertainty Quantification in Gaussian Process Surrogate Approximate Bayesian Computation Marko Jarvenpaa, Aki Vehtari, Pekka Marttinen

MLOSS 2018 ELFI: Engine for Likelihood-Free Inference Jarno Lintusaari, Henri Vuollekoski, Antti Kangasrääsiö, Kusti Skytén, Marko Järvenpää, Pekka Marttinen, Michael U. Gutmann, Aki Vehtari, Jukka Corander, Samuel Kaski

JMLR 2016 Multiple Output Regression with Latent Noise Jussi Gillberg, Pekka Marttinen, Matti Pirinen, Antti J. Kangas, Pasi Soininen, Mehreen Ali, Aki S. Havulinna, Marjo-Riitta Järvelin, Mika Ala-Korpela, Samuel Kaski

MLJ 2009 Bayesian Learning of Graphical Vector Autoregressions with Unequal Lag-Lengths Pekka Marttinen, Jukka Corander