Pekka Marttinen
21 papers · 2016–2025 · 12 venues · across top CS/AI venues
This profile combines several different researchers. Authors are keyed by name, and this name's papers fall into 7 separate collaboration groups - the largest holds only 29% of them. Pick the group below that matches the researcher you mean. How a shared name is split.
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Which Pekka Marttinen?
4 groups of papers that share co-authors internally but none with each other - each most likely a different researcher. Pick one to see its papers.
with Samuel Kaski, Tianyu Cui, Yogesh Kumar
6 papers
· 2016–2024
· JMLR, ECCV, AISTATS
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Improving Medical Multi-modal Contrastive Learning with Expert Annotations
ECCV 2024
Incorporating functional summary information in Bayesian neural networks using a Dirichlet process likelihood approach
AISTATS 2023
Deconfounded Representation Similarity for Comparison of Neural Networks
NeurIPS 2022
Batch simulations and uncertainty quantification in Gaussian process surrogate approximate Bayesian computation
UAI 2020
ELFI: Engine for Likelihood-Free Inference
JMLR 2018
Multiple Output Regression with Latent Noise
JMLR 2016
3 papers whose co-authors appear nowhere else under this name
New Multimodal Similarity Measure for Image Registration via Modeling Local Functional Dependence with Linear Combination of Learned Basis Functions
MICCAI 2025
Kernel Language Entropy: Fine-grained Uncertainty Quantification for LLMs from Semantic Similarities
NeurIPS 2024
A Critical Look at the Consistency of Causal Estimation with Deep Latent Variable Models
NeurIPS 2021