default search action
Arto Klami
Person information
Refine list
refinements active!
zoomed in on ?? of ?? records
view refined list in
export refined list as
showing all ?? records
2020 – today
- 2024
- [j25]Otto Nyberg
, Arto Klami
Quantifying uncertainty of uplift: Trees and T-learners. Neurocomputing 590: 127741 (2024) - [j24]Ville Tanskanen, Chang Rajani, Perttu Hämäläinen, Christian Guckelsberger, Arto Klami:
Contextual Policies Enable Efficient and Interpretable Inverse Reinforcement Learning for Populations. Trans. Mach. Learn. Res. 2024 (2024) - [c54]Hanlin Yu, Marcelo Hartmann, Bernardo Williams Moreno Sanchez, Mark Girolami, Arto Klami:
Riemannian Laplace Approximation with the Fisher Metric. AISTATS 2024: 820-828 - [c53]Teemu Sarapisto, Haoyu Wei, Keijo Heljanko, Arto Klami, Laura Ruotsalainen:
Subsystem Discovery in High-Dimensional Time-Series Using Masked Autoencoders. ECAI 2024: 3031-3038 - [i17]Hoang Phuc Hau Luu, Hanlin Yu, Bernardo Williams, Petrus Mikkola, Marcelo Hartmann, Kai Puolamäki, Arto Klami:
Non-geodesically-convex optimization in the Wasserstein space. CoRR abs/2406.00502 (2024) - [i16]Hoang Phuc Hau Luu, Hanlin Yu, Bernardo Williams, Marcelo Hartmann, Arto Klami:
Stochastic variance-reduced Gaussian variational inference on the Bures-Wasserstein manifold. CoRR abs/2410.02490 (2024) - 2023
- [j23]Otto Nyberg
Exploring uplift modeling with high class imbalance. Data Min. Knowl. Discov. 37(2): 736-766 (2023) - [j22]Eliezer de Souza da Silva
Prior Specification for Bayesian Matrix Factorization via Prior Predictive Matching. J. Mach. Learn. Res. 24: 67:1-67:51 (2023) - [j21]Alejandro A. Icazatti
PreliZ: A tool-box for prior elicitation. J. Open Source Softw. 8(90): 5499 (2023) - [j20]Hanlin Yu, Marcelo Hartmann, Bernardo Williams, Arto Klami:
Scalable Stochastic Gradient Riemannian Langevin Dynamics in Non-Diagonal Metrics. Trans. Mach. Learn. Res. 2023 (2023) - [c52]Aurélien Nioche, Ville Tanskanen, Marcelo Hartmann, Arto Klami:
Transformed Gaussian Processes for Characterizing a Model's Discrepancy. ACML 2023: 991-1006 - [c51]Lorenzo Perini, Paul-Christian Bürkner, Arto Klami:
Estimating the Contamination Factor's Distribution in Unsupervised Anomaly Detection. ICML 2023: 27668-27679 - [c50]Shayan Gharib, Arto Klami
Extending Interpolation Consistency Training for Unsupervised Domain Adaptation. IJCNN 2023: 1-8 - [i15]Hanlin Yu, Marcelo Hartmann, Bernardo Williams, Arto Klami:
Scalable Stochastic Gradient Riemannian Langevin Dynamics in Non-Diagonal Metrics. CoRR abs/2303.05101 (2023) - [i14]Marcelo Hartmann, Bernardo Williams, Hanlin Yu, Mark Girolami, Alessandro Barp, Arto Klami:
Warped geometric information on the optimisation of Euclidean functions. CoRR abs/2308.08305 (2023) - [i13]Hanlin Yu, Marcelo Hartmann, Bernardo Williams, Mark Girolami, Arto Klami:
Riemannian Laplace Approximation with the Fisher Metric. CoRR abs/2311.02766 (2023) - 2022
- [j19]Maria Yli-Heikkilä
Scalable Crop Yield Prediction with Sentinel-2 Time Series and Temporal Convolutional Network. Remote. Sens. 14(17): 4193 (2022) - [c49]Marcelo Hartmann
Lagrangian manifold Monte Carlo on Monge patches. AISTATS 2022: 4764-4781 - [c48]Jarkko Lagus, Arto Klami:
Optimizing singular value based similarity measures for document similarity comparisons. ICNLSP 2022: 113-118 - [c47]Jarkko Lagus, Niki A. Loppi, Arto Klami:
Second-order Document Similarity Metrics for Transformers. ICNLSP 2022: 128-133 - [c46]Krista Longi, Jakob Lindinger, Olaf Duennbier, Melih Kandemir, Arto Klami, Barbara Rakitsch:
Traversing Time with Multi-Resolution Gaussian Process State-Space Models. L4DC 2022: 366-377 - [c45]Aini Putkonen, Aurélien Nioche
How Suitable Is Your Naturalistic Dataset for Theory-based User Modeling? UMAP 2022: 179-190 - [i12]Marcelo Hartmann, Mark Girolami, Arto Klami:
Lagrangian Manifold Monte Carlo on Monge Patches. CoRR abs/2202.00755 (2022) - [i11]David Korda, Antti Penttilä, Arto Klami, Tomás Kohout:
Neural network for determining an asteroid mineral composition from reflectance spectra. CoRR abs/2210.01006 (2022) - [i10]Lorenzo Perini, Paul C. Bürkner, Arto Klami:
Estimating the Contamination Factor's Distribution in Unsupervised Anomaly Detection. CoRR abs/2210.10487 (2022) - 2021
- [j18]Mikko E. Toivonen
Visible Light Spectrum Extraction from Diffraction Images by Deconvolution and the Cepstrum. J. Imaging 7(9): 166 (2021) - [j17]Mikko E. Toivonen
Snapshot hyperspectral imaging using wide dilation networks. Mach. Vis. Appl. 32(1): 9 (2021) - [j16]Markku Luotamo
Multiscale Cloud Detection in Remote Sensing Images Using a Dual Convolutional Neural Network. IEEE Trans. Geosci. Remote. Sens. 59(6): 4972-4983 (2021) - [c44]Otto Nyberg, Tomasz Kusmierczyk, Arto Klami:
Uplift Modeling with High Class Imbalance. ACML 2021: 315-330 - [c43]Ville Tanskanen, Chang Rajani, Homayun Afrabandpey, Aini Putkonen, Aurélien Nioche
Modeling Risky Choices in Unknown Environments. ACML 2021: 1081-1096 - [c42]Jarkko Lagus, Arto Klami:
Learning to Lemmatize in the Word Representation Space. NoDaLiDa 2021: 249-258 - [c41]Otto Nyberg
Reliably Calibrated Isotonic Regression. PAKDD (1) 2021: 578-589 - [i9]Krista Longi, Jakob Lindinger, Olaf Duennbier, Melih Kandemir
Traversing Time with Multi-Resolution Gaussian Process State-Space Models. CoRR abs/2112.03230 (2021) - 2020
- [j15]Mikko E. Toivonen
Practical Camera Sensor Spectral Response and Uncertainty Estimation. J. Imaging 6(8): 79 (2020) - [c40]Tomasz Kusmierczyk, Joseph Sakaya, Arto Klami
Correcting Predictions for Approximate Bayesian Inference. AAAI 2020: 4511-4518 - [c39]Ville Tanskanen, Krista Longi, Arto Klami
Non-Linearities in Gaussian Processes with Integral Observations. MLSP 2020: 1-6 - [c38]Krista Longi, Chang Rajani, Tom Sillanpää, Joni Mäkinen, Timo Rauhala, Ari Salmi, Edward Hæggström, Arto Klami:
Sensor Placement for Spatial Gaussian Processes with Integral Observations. UAI 2020: 1009-1018 - [c37]Marcelo Hartmann, Georgi Agiashvili, Paul C. Bürkner, Arto Klami:
Flexible Prior Elicitation via the Prior Predictive Distribution. UAI 2020: 1129-1138 - [i8]Markku Luotamo, Sari Metsämäki, Arto Klami:
Multi-scale Cloud Detection in Remote Sensing Images using a Dual Convolutional Neural Network. CoRR abs/2006.00836 (2020) - [i7]Tomasz Kusmierczyk, Arto Klami:
Mixture of Discrete Normalizing Flows for Variational Inference. CoRR abs/2006.15568 (2020)
2010 – 2019
- 2019
- [c36]Jarkko Lagus, Janne Sinkkonen, Arto Klami
Low-Rank Approximations of Second-Order Document Representations. CoNLL 2019: 634-644 - [c35]Tomasz Kusmierczyk, Joseph Sakaya, Arto Klami:
Variational Bayesian Decision-making for Continuous Utilities. NeurIPS 2019: 6392-6402 - [i6]Tomasz Kusmierczyk, Joseph Sakaya, Arto Klami:
Variational Bayesian Decision-making for Continuous Utilities. CoRR abs/1902.00792 (2019) - [i5]Tomasz Kusmierczyk, Joseph Sakaya, Arto Klami:
Correcting Predictions for Approximate Bayesian Inference. CoRR abs/1909.04919 (2019) - [i4]Eliezer de Souza da Silva, Tomasz Kusmierczyk, Marcelo Hartmann, Arto Klami:
Prior specification via prior predictive matching: Poisson matrix factorization and beyond. CoRR abs/1910.12263 (2019) - 2018
- [j14]Jarkko Lagus, Krista Longi, Arto Klami
Transfer-Learning Methods in Programming Course Outcome Prediction. ACM Trans. Comput. Educ. 18(4): 19:1-19:18 (2018) - [c34]Aditya Jitta, Arto Klami:
On Controlling the Size of Clusters in Probabilistic Clustering. AAAI 2018: 3350-3357 - [c33]Chang Rajani
Detecting Industrial fouling by monotonicity during ultrasonic Cleaning. MLSP 2018: 1-6 - [c32]Lidia Pivovarova
Benchmarks and models for entity-oriented polarity detection. NAACL-HLT (3) 2018: 129-136 - [c31]Arto Klami, Jarkko Lagus, Joseph Sakaya:
Lambert Matrix Factorization. ECML/PKDD (2) 2018: 311-326 - 2017
- [j13]Aditya Jitta, Arto Klami
Partially hidden Markov models for privacy-preserving modeling of indoor trajectories. Neurocomputing 266: 196-205 (2017) - [c30]Krista Longi, Teemu Pulkkinen, Arto Klami:
Semi-supervised Convolutional Neural Networks for Identifying Wi-Fi Interference Sources. ACML 2017: 391-406 - [c29]Aditya Jitta, Arto Klami:
Few-to-few Cross-domain Object Matching. AMBN 2017: 176-187 - [c28]Lidia Pivovarova
HCS at SemEval-2017 Task 5: Polarity detection in business news using convolutional neural networks. SemEval@ACL 2017: 842-846 - [c27]Joseph Sakaya, Arto Klami:
Importance Sampled Stochastic Optimization for Variational Inference. UAI 2017 - 2016
- [j12]Jussi Korpela
Using regression makes extraction of shared variation in multiple datasets easy. Data Min. Knowl. Discov. 30(5): 1112-1133 (2016) - [c26]Juho Leinonen
Typing Patterns and Authentication in Practical Programming Exams. ITiCSE 2016: 160-165 - [c25]Juho Leinonen
Automatic Inference of Programming Performance and Experience from Typing Patterns. SIGCSE 2016: 132-137 - [c24]Arto Klami, Aditya Jitta:
Probabilistic Size-constrained Microclustering. UAI 2016 - 2015
- [j11]Jukka-Pekka Kauppi, Melih Kandemir
Towards brain-activity-controlled information retrieval: Decoding image relevance from MEG signals. NeuroImage 112: 288-298 (2015) - [j10]Arto Klami
Group Factor Analysis. IEEE Trans. Neural Networks Learn. Syst. 26(9): 2136-2147 (2015) - [c23]Arto Klami, Abhishek Tripathi, Johannes Sirola, Lauri Väre, Frédéric Roulland:
Latent feature regression for multivariate count data. AISTATS 2015 - [c22]Salvatore Andolina
IntentStreams: Smart Parallel Search Streams for Branching Exploratory Search. IUI 2015: 300-305 - [c21]Krista Longi, Juho Leinonen
Identification of programmers from typing patterns. Koli Calling 2015: 60-67 - 2014
- [j9]Melih Kandemir
Multi-task and multi-view learning of user state. Neurocomputing 139: 97-106 (2014) - [c20]Arto Klami:
Polya-gamma augmentations for factor models. ACML 2014 - [c19]Arto Klami, Guillaume Bouchard, Abhishek Tripathi:
Group-sparse Embeddings in Collective Matrix Factorization. ICLR 2014 - [i3]Zakria Hussain, Arto Klami, Jussi Kujala, Alex Po Leung, Kitsuchart Pasupa
PinView: Implicit Feedback in Content-Based Image Retrieval. CoRR abs/1410.0471 (2014) - 2013
- [j8]Arto Klami, Seppo Virtanen, Samuel Kaski:
Bayesian Canonical correlation analysis. J. Mach. Learn. Res. 14(1): 965-1003 (2013) - [j7]Arto Klami
Bayesian object matching. Mach. Learn. 92(2-3): 225-250 (2013) - [c18]Sourav Bhattacharya, Santi Phithakkitnukoon
Gaussian process-based predictive modeling for bus ridership. UbiComp (Adjunct Publication) 2013: 1189-1198 - 2012
- [c17]Melih Kandemir
Unsupervised Inference of Auditory Attention from Biosensors. ECML/PKDD (2) 2012: 403-418 - [c16]Seppo Virtanen, Yangqing Jia, Arto Klami, Trevor Darrell:
Factorized Multi-Modal Topic Model. UAI 2012: 843-851 - [c15]Arto Klami:
Variational Bayesian Matching. ACML 2012: 205-220 - [c14]Seppo Virtanen, Arto Klami, Suleiman A. Khan, Samuel Kaski:
Bayesian Group Factor Analysis. AISTATS 2012: 1269-1277 - [i2]Arto Klami, Seppo Virtanen, Samuel Kaski:
Bayesian exponential family projections for coupled data sources. CoRR abs/1203.3489 (2012) - [i1]Seppo Virtanen, Yangqing Jia, Arto Klami, Trevor Darrell:
Factorized Multi-Modal Topic Model. CoRR abs/1210.4920 (2012) - 2011
- [j6]Abhishek Tripathi, Arto Klami
Matching samples of multiple views. Data Min. Knowl. Discov. 23(2): 300-321 (2011) - [c13]Seppo Virtanen, Arto Klami, Samuel Kaski:
Bayesian CCA via Group Sparsity. ICML 2011: 457-464 - 2010
- [j5]Simon Rogers, Arto Klami
Infinite factorization of multiple non-parametric views. Mach. Learn. 79(1-2): 201-226 (2010) - [c12]Jaakko Viinikanoja, Arto Klami
Variational Bayesian Mixture of Robust CCA Models. ECML/PKDD (3) 2010: 370-385 - [c11]Arto Klami, Seppo Virtanen, Samuel Kaski:
Bayesian exponential family projections for coupled data sources. UAI 2010: 286-293 - [c10]Peter Auer, Zakria Hussain, Samuel Kaski, Arto Klami, Jussi Kujala, Jorma Laaksonen, Alex Po Leung, Kitsuchart Pasupa, John Shawe-Taylor:
Pinview: Implicit Feedback in Content-Based Image Retrieval. WAPA 2010: 51-57
2000 – 2009
- 2009
- [c9]Abhishek Tripathi, Arto Klami
Using dependencies to pair samples for multi-view learning. ICASSP 2009: 1561-1564 - [c8]Eerika Savia, Arto Klami
Fast dependent components for fMRI analysis. ICASSP 2009: 1737-1740 - [c7]Kitsuchart Pasupa
Learning to rank images from eye movements. ICCV Workshops 2009: 2009-2016 - [c6]László Kozma
GaZIR: gaze-based zooming interface for image retrieval. ICMI 2009: 305-312 - 2008
- [b1]Arto Klami:
Modeling of mutual dependencies. Helsinki University of Technology, Finland, 2008 - [j4]Abhishek Tripathi, Arto Klami
Simple integrative preprocessing preserves what is shared in data sources. BMC Bioinform. 9 (2008) - [j3]Arto Klami
Probabilistic approach to detecting dependencies between data sets. Neurocomputing 72(1-3): 39-46 (2008) - [c5]Arto Klami
Can relevance of images be inferred from eye movements? Multimedia Information Retrieval 2008: 134-140 - 2007
- [c4]Arto Klami
Local dependent components. ICML 2007: 425-432 - 2005
- [j2]Samuel Kaski, Janne Sinkkonen, Arto Klami
Discriminative clustering. Neurocomputing 69(1-3): 18-41 (2005) - [c3]Arto Klami, Samuel Kaski:
Non-parametric dependent components. ICASSP (5) 2005: 209-212 - 2004
- [j1]Jaakko Peltonen
Improved learning of Riemannian metrics for exploratory analysis. Neural Networks 17(8-9): 1087-1100 (2004) - 2003
- [c2]Samuel Kaski, Janne Sinkkonen, Arto Klami
Regularized discriminative clustering. NNSP 2003: 289-298 - 2002
- [c1]Jaakko Peltonen
Learning More Accurate Metrics for Self-Organizing Maps. ICANN 2002: 999-1004
Coauthor Index
manage site settings
To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.
Unpaywalled article links
Add open access links from to the list of external document links (if available).
Privacy notice: By enabling the option above, your browser will contact the API of unpaywall.org to load hyperlinks to open access articles. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Unpaywall privacy policy.
Archived links via Wayback Machine
For web page which are no longer available, try to retrieve content from the of the Internet Archive (if available).
Privacy notice: By enabling the option above, your browser will contact the API of archive.org to check for archived content of web pages that are no longer available. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Internet Archive privacy policy.
Reference lists
Add a list of references from ,
, and
to record detail pages.
load references from crossref.org and opencitations.net
Privacy notice: By enabling the option above, your browser will contact the APIs of crossref.org, opencitations.net, and semanticscholar.org to load article reference information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Crossref privacy policy and the OpenCitations privacy policy, as well as the AI2 Privacy Policy covering Semantic Scholar.
Citation data
Add a list of citing articles from and
to record detail pages.
load citations from opencitations.net
Privacy notice: By enabling the option above, your browser will contact the API of opencitations.net and semanticscholar.org to load citation information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the OpenCitations privacy policy as well as the AI2 Privacy Policy covering Semantic Scholar.
OpenAlex data
Load additional information about publications from .
Privacy notice: By enabling the option above, your browser will contact the API of openalex.org to load additional information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the information given by OpenAlex.
last updated on 2024-11-08 20:33 CET by the dblp team
all metadata released as open data under CC0 1.0 license
see also: Terms of Use | Privacy Policy | Imprint
dblp was originally created in 1993 at:
since 2018, dblp has been operated and maintained by:
the dblp computer science bibliography is funded and supported by: