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Arto Klami
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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 - [i18]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) - [i17]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) - [i16]Petrus Mikkola, Luigi Acerbi, Arto Klami:
Preferential Normalizing Flows. CoRR abs/2410.08710 (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
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last updated on 2024-11-19 20:49 CET by the dblp team
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