Arto Klami - RankMe

118 papers A* 10A 15B 4C 8Misc 2Journal 56Unranked 22

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Point-Identification of a Robust Predictor Under Latent Shift with Imperfect Proxies. CoRR Zahra RahimiNasab, Reza Soumi, Arto Klami, Samuel Kaski
2026	J	`jnl`	Simplex-to-Euclidean Bijection for Conjugate and Calibrated Multiclass Gaussian Process. CoRR Bernardo Williams, Harsha Vardhan Tetali, Arto Klami, Marcelo Hartmann
2025	J	`jnl`	Consecutive Preferential Bayesian Optimization. CoRR Aras Erarslan, Carlos Sevilla-Salcedo, Ville Tanskanen, Anni Nisov, Eero Päiväkumpu, Heikki Aisala, Kaisu Honkapää, Arto Klami, Petrus Mikkola
2025	A*	`conf`	Density Ratio Estimation with Conditional Probability Paths. ICML Hanlin Yu, Arto Klami, Aapo Hyvärinen, Anna Korba, Omar Chehab
2025	J	`jnl`	Density Ratio Estimation with Conditional Probability Paths. CoRR Hanlin Yu, Arto Klami, Aapo Hyvärinen, Anna Korba, Omar Chehab
2025	J	`jnl`	Estimating expert prior knowledge from optimization trajectories. Neurocomputing Ville Tanskanen, Petrus Mikkola, Aras Erarslan, Arto Klami
2025	A	`conf`	Geodesic Slice Sampler for Multimodal Distributions with Strong Curvature. UAI Bernardo Williams, Hanlin Yu, Hoang Phuc Hau Luu, Georgios Arvanitidis, Arto Klami
2025	J	`jnl`	Geodesic Slice Sampler for Multimodal Distributions with Strong Curvature. CoRR Bernardo Williams, Hanlin Yu, Hoang Phuc Hau Luu, Georgios Arvanitidis, Arto Klami
2025	J	`jnl`	Geometric Moment Alignment for Domain Adaptation via Siegel Embeddings. CoRR Shayan Gharib, Marcelo Hartmann, Arto Klami
2025	J	`jnl`	Learning geometry and topology via multi-chart flows. CoRR Hanlin Yu, Søren Hauberg, Marcelo Hartmann, Arto Klami, Georgios Arvanitidis
2025	J	`jnl`	On the Identifiability of Tensor Ranks via Prior Predictive Matching. CoRR Eliezer de Souza da Silva, Arto Klami, Diego Mesquita, Iñigo Urteaga
2025	C	`conf`	On the Importance of Representation in Imitating Human-Like Gameplay. CoG Ville Tanskanen, Arto Klami, Ville Hautamäki
2025	J	`jnl`	Score-Based Density Estimation from Pairwise Comparisons. CoRR Petrus Mikkola, Luigi Acerbi, Arto Klami
2025	J	`jnl`	Simplex-to-Euclidean Bijections for Categorical Flow Matching. CoRR Bernardo Williams, Victor M. Yeom-Song, Marcelo Hartmann, Arto Klami
2025	J	`jnl`	Single-positive Multi-label Learning with Label Cardinality. Trans. Mach. Learn. Res. Shayan Gharib, Pierre-Alexandre Murena, Arto Klami
2025	A*	`conf`	Stochastic variance-reduced Gaussian variational inference on the Bures-Wasserstein manifold. ICLR Hoang Phuc Hau Luu, Hanlin Yu, Bernardo Williams, Marcelo Hartmann, Arto Klami
2025	J	`jnl`	Virtual Laboratories: Domain-agnostic workflows for research. CoRR Carlos Sevilla-Salcedo, Armi Tiihonen, Mahsa Asadi, Kevin Sebastian Luck, Aras Umut Erarslan, Arto Klami, Samuel Kaski
2024	J	`jnl`	Contextual Policies Enable Efficient and Interpretable Inverse Reinforcement Learning for Populations. Trans. Mach. Learn. Res. Ville Tanskanen, Chang Rajani, Perttu Hämäläinen, Christian Guckelsberger, Arto Klami
2024	—	`conf`	Geometric No-U-Turn Samplers: Concepts and Evaluation. PGM Bernardo Williams, Hanlin Yu, Marcelo Hartmann, Arto Klami
2024	A*	`conf`	Non-geodesically-convex optimization in the Wasserstein space. NeurIPS Hoang Phuc Hau Luu, Hanlin Yu, Bernardo Williams, Petrus Mikkola, Marcelo Hartmann, Kai Puolamäki, Arto Klami
2024	J	`jnl`	Non-geodesically-convex optimization in the Wasserstein space. CoRR Hoang Phuc Hau Luu, Hanlin Yu, Bernardo Williams, Petrus Mikkola, Marcelo Hartmann, Kai Puolamäki, Arto Klami
2024	A*	`conf`	Preferential Normalizing Flows. NeurIPS Petrus Mikkola, Luigi Acerbi, Arto Klami
2024	J	`jnl`	Preferential Normalizing Flows. CoRR Petrus Mikkola, Luigi Acerbi, Arto Klami
2024	J	`jnl`	Quantifying uncertainty of uplift: Trees and T-learners. Neurocomputing Otto Nyberg, Arto Klami
2024	A	`conf`	Riemannian Laplace Approximation with the Fisher Metric. AISTATS Hanlin Yu, Marcelo Hartmann, Bernardo Williams Moreno Sanchez, Mark Girolami, Arto Klami
2024	J	`jnl`	Stochastic variance-reduced Gaussian variational inference on the Bures-Wasserstein manifold. CoRR Hoang Phuc Hau Luu, Hanlin Yu, Bernardo Williams, Marcelo Hartmann, Arto Klami
2024	A	`conf`	Subsystem Discovery in High-Dimensional Time-Series Using Masked Autoencoders. ECAI Teemu Sarapisto, Haoyu Wei, Keijo Heljanko, Arto Klami, Laura Ruotsalainen
2023	A*	`conf`	Estimating the Contamination Factor's Distribution in Unsupervised Anomaly Detection. ICML Lorenzo Perini, Paul-Christian Bürkner, Arto Klami
2023	J	`jnl`	Exploring uplift modeling with high class imbalance. Data Min. Knowl. Discov. Otto Nyberg, Arto Klami
2023	B	`conf`	Extending Interpolation Consistency Training for Unsupervised Domain Adaptation. IJCNN Shayan Gharib, Arto Klami
2023	J	`jnl`	PreliZ: A tool-box for prior elicitation. J. Open Source Softw. Alejandro A. Icazatti, Oriol Abril Pla, Arto Klami, Osvaldo A. Martin
2023	J	`jnl`	Prior Specification for Bayesian Matrix Factorization via Prior Predictive Matching. J. Mach. Learn. Res. Eliezer de Souza da Silva, Tomasz Kusmierczyk, Marcelo Hartmann, Arto Klami
2023	J	`jnl`	Riemannian Laplace Approximation with the Fisher Metric. CoRR Hanlin Yu, Marcelo Hartmann, Bernardo Williams, Mark Girolami, Arto Klami
2023	J	`jnl`	Scalable Stochastic Gradient Riemannian Langevin Dynamics in Non-Diagonal Metrics. CoRR Hanlin Yu, Marcelo Hartmann, Bernardo Williams, Arto Klami
2023	J	`jnl`	Scalable Stochastic Gradient Riemannian Langevin Dynamics in Non-Diagonal Metrics. Trans. Mach. Learn. Res. Hanlin Yu, Marcelo Hartmann, Bernardo Williams, Arto Klami
2023	C	`conf`	Transformed Gaussian Processes for Characterizing a Model's Discrepancy. ACML Aurélien Nioche, Ville Tanskanen, Marcelo Hartmann, Arto Klami
2023	J	`jnl`	Warped geometric information on the optimisation of Euclidean functions. CoRR Marcelo Hartmann, Bernardo Williams, Hanlin Yu, Mark Girolami, Alessandro Barp, Arto Klami
2022	J	`jnl`	Estimating the Contamination Factor's Distribution in Unsupervised Anomaly Detection. CoRR Lorenzo Perini, Paul C. Bürkner, Arto Klami
2022	A	`conf`	How Suitable Is Your Naturalistic Dataset for Theory-based User Modeling? UMAP Aini Putkonen, Aurélien Nioche, Ville Tanskanen, Arto Klami, Antti Oulasvirta
2022	J	`jnl`	Lagrangian Manifold Monte Carlo on Monge Patches. CoRR Marcelo Hartmann, Mark Girolami, Arto Klami
2022	A	`conf`	Lagrangian manifold Monte Carlo on Monge patches. AISTATS Marcelo Hartmann, Mark Girolami, Arto Klami
2022	J	`jnl`	Neural network for determining an asteroid mineral composition from reflectance spectra. CoRR David Korda, Antti Penttilä, Arto Klami, Tomás Kohout
2022	—	`conf`	Optimizing singular value based similarity measures for document similarity comparisons. ICNLSP Jarkko Lagus, Arto Klami
2022	J	`jnl`	Scalable Crop Yield Prediction with Sentinel-2 Time Series and Temporal Convolutional Network. Remote. Sens. Maria Yli-Heikkilä, Samantha Wittke, Markku Luotamo, Eetu Puttonen, Mika Sulkava, Petri Pellikka, Janne Heiskanen, Arto Klami
2022	—	`conf`	Second-order Document Similarity Metrics for Transformers. ICNLSP Jarkko Lagus, Niki Andreas Lopi, Arto Klami
2022	—	`conf`	Traversing Time with Multi-Resolution Gaussian Process State-Space Models. L4DC Krista Longi, Jakob Lindinger, Olaf Dünnbier, Melih Kandemir, Arto Klami, Barbara Rakitsch
2021	—	`conf`	Learning to Lemmatize in the Word Representation Space. NoDaLiDa Jarkko Lagus, Arto Klami
2021	C	`conf`	Modeling Risky Choices in Unknown Environments. ACML Ville Tanskanen, Chang Rajani, Homayun Afrabandpey, Aini Putkonen, Aurélien Nioche, Arto Klami
2021	J	`jnl`	Multiscale Cloud Detection in Remote Sensing Images Using a Dual Convolutional Neural Network. IEEE Trans. Geosci. Remote. Sens. Markku Luotamo, Sari Metsämäki, Arto Klami
2021	—	`conf`	Reliably Calibrated Isotonic Regression. PAKDD (1) Otto Nyberg, Arto Klami
2021	J	`jnl`	Snapshot hyperspectral imaging using wide dilation networks. Mach. Vis. Appl. Mikko E. Toivonen, Chang Rajani, Arto Klami
2021	J	`jnl`	Traversing Time with Multi-Resolution Gaussian Process State-Space Models. CoRR Krista Longi, Jakob Lindinger, Olaf Dünnbier, Melih Kandemir, Arto Klami, Barbara Rakitsch
2021	C	`conf`	Uplift Modeling with High Class Imbalance. ACML Otto Nyberg, Tomasz Kusmierczyk, Arto Klami
2021	J	`jnl`	Visible Light Spectrum Extraction from Diffraction Images by Deconvolution and the Cepstrum. J. Imaging Mikko E. Toivonen, Topi Talvitie, Chang Rajani, Arto Klami
2020	A*	`conf`	Correcting Predictions for Approximate Bayesian Inference. AAAI Tomasz Kusmierczyk, Joseph Sakaya, Arto Klami
2020	A	`conf`	Flexible Prior Elicitation via the Prior Predictive Distribution. UAI Marcelo Hartmann, Georgi Agiashvili, Paul C. Bürkner, Arto Klami
2020	J	`jnl`	Mixture of Discrete Normalizing Flows for Variational Inference. CoRR Tomasz Kusmierczyk, Arto Klami
2020	J	`jnl`	Multi-scale Cloud Detection in Remote Sensing Images using a Dual Convolutional Neural Network. CoRR Markku Luotamo, Sari Metsämäki, Arto Klami
2020	—	`conf`	Non-Linearities in Gaussian Processes with Integral Observations. MLSP Ville Tanskanen, Krista Longi, Arto Klami
2020	J	`jnl`	Practical Camera Sensor Spectral Response and Uncertainty Estimation. J. Imaging Mikko E. Toivonen, Arto Klami
2020	A	`conf`	Sensor Placement for Spatial Gaussian Processes with Integral Observations. UAI Krista Longi, Chang Rajani, Tom Sillanpää, Joni Mäkinen, Timo Rauhala, Ari Salmi, Edward Hæggström, Arto Klami
2019	J	`jnl`	Correcting Predictions for Approximate Bayesian Inference. CoRR Tomasz Kusmierczyk, Joseph Sakaya, Arto Klami
2019	B	`conf`	Low-Rank Approximations of Second-Order Document Representations. CoNLL Jarkko Lagus, Janne Sinkkonen, Arto Klami
2019	J	`jnl`	Prior specification via prior predictive matching: Poisson matrix factorization and beyond. CoRR Eliezer de Souza da Silva, Tomasz Kusmierczyk, Marcelo Hartmann, Arto Klami
2019	A*	`conf`	Variational Bayesian Decision-making for Continuous Utilities. NeurIPS Tomasz Kusmierczyk, Joseph Sakaya, Arto Klami
2019	J	`jnl`	Variational Bayesian Decision-making for Continuous Utilities. CoRR Tomasz Kusmierczyk, Joseph Sakaya, Arto Klami
2018	—	`conf`	Benchmarks and models for entity-oriented polarity detection. NAACL-HLT (3) Lidia Pivovarova, Arto Klami, Roman Yangarber
2018	—	`conf`	Detecting Industrial fouling by monotonicity during ultrasonic Cleaning. MLSP Chang Rajani, Arto Klami, Ari Salmi, Timo Rauhala, Edward Hæggström, Petri Myllymäki
2018	—	`conf`	Lambert Matrix Factorization. ECML/PKDD (2) Arto Klami, Jarkko Lagus, Joseph Sakaya
2018	A*	`conf`	On Controlling the Size of Clusters in Probabilistic Clustering. AAAI Aditya Jitta, Arto Klami
2018	J	`jnl`	Transfer-Learning Methods in Programming Course Outcome Prediction. ACM Trans. Comput. Educ. Jarkko Lagus, Krista Longi, Arto Klami, Arto Hellas
2017	—	`conf`	Few-to-few Cross-domain Object Matching. AMBN Aditya Jitta, Arto Klami
2017	—	`conf`	HCS at SemEval-2017 Task 5: Polarity detection in business news using convolutional neural networks. SemEval@ACL Lidia Pivovarova, Llorenç Escoter, Arto Klami, Roman Yangarber
2017	A	`conf`	Importance Sampled Stochastic Optimization for Variational Inference. UAI Joseph Sakaya, Arto Klami
2017	J	`jnl`	Partially hidden Markov models for privacy-preserving modeling of indoor trajectories. Neurocomputing Aditya Jitta, Arto Klami
2017	C	`conf`	Semi-supervised Convolutional Neural Networks for Identifying Wi-Fi Interference Sources. ACML Krista Longi, Teemu Pulkkinen, Arto Klami
2016	A	`conf`	Automatic Inference of Programming Performance and Experience from Typing Patterns. SIGCSE Juho Leinonen, Krista Longi, Arto Klami, Arto Vihavainen
2016	A	`conf`	Probabilistic Size-constrained Microclustering. UAI Arto Klami, Aditya Jitta
2016	B	`conf`	Typing Patterns and Authentication in Practical Programming Exams. ITiCSE Juho Leinonen, Krista Longi, Arto Klami, Alireza Ahadi, Arto Vihavainen
2016	J	`jnl`	Using regression makes extraction of shared variation in multiple datasets easy. Data Min. Knowl. Discov. Jussi Korpela, Andreas Henelius, Lauri Ahonen, Arto Klami, Kai Puolamäki
2015	J	`jnl`	Group Factor Analysis. IEEE Trans. Neural Networks Learn. Syst. Arto Klami, Seppo Virtanen, Eemeli Leppäaho, Samuel Kaski
2015	—	`conf`	Identification of programmers from typing patterns. Koli Calling Krista Longi, Juho Leinonen, Henrik Nygren, Joni Salmi, Arto Klami, Arto Vihavainen
2015	A	`conf`	IntentStreams: Smart Parallel Search Streams for Branching Exploratory Search. IUI Salvatore Andolina, Khalil Klouche, Jaakko Peltonen, Mohammad E. Hoque, Tuukka Ruotsalo, Diogo Cabral, Arto Klami, Dorota Glowacka, Patrik Floréen, Giulio Jacucci
2015	A	`conf`	Latent feature regression for multivariate count data. AISTATS Arto Klami, Abhishek Tripathi, Johannes Sirola, Lauri Väre, Frédéric Roulland
2015	J	`jnl`	Towards brain-activity-controlled information retrieval: Decoding image relevance from MEG signals. NeuroImage Jukka-Pekka Kauppi, Melih Kandemir, Veli-Matti Saarinen, Lotta Hirvenkari, Lauri Parkkonen, Arto Klami, Riitta Hari, Samuel Kaski
2014	—	`conf`	Group-sparse Embeddings in Collective Matrix Factorization. ICLR Arto Klami, Guillaume Bouchard, Abhishek Tripathi
2014	J	`jnl`	Multi-task and multi-view learning of user state. Neurocomputing Melih Kandemir, Akos Vetek, Mehmet Gönen, Arto Klami, Samuel Kaski
2014	J	`jnl`	PinView: Implicit Feedback in Content-Based Image Retrieval. CoRR Zakria Hussain, Arto Klami, Jussi Kujala, Alex Po Leung, Kitsuchart Pasupa, Peter Auer, Samuel Kaski, Jorma Laaksonen, John Shawe-Taylor
2014	C	`conf`	Polya-gamma augmentations for factor models. ACML Arto Klami
2013	J	`jnl`	Bayesian Canonical correlation analysis. J. Mach. Learn. Res. Arto Klami, Seppo Virtanen, Samuel Kaski
2013	J	`jnl`	Bayesian object matching. Mach. Learn. Arto Klami
2013	—	`conf`	Gaussian process-based predictive modeling for bus ridership. UbiComp (Adjunct Publication) Sourav Bhattacharya, Santi Phithakkitnukoon, Petteri Nurmi, Arto Klami, Marco Veloso, Carlos Bento
2012	A	`conf`	Bayesian Group Factor Analysis. AISTATS Seppo Virtanen, Arto Klami, Suleiman A. Khan, Samuel Kaski
2012	J	`jnl`	Bayesian exponential family projections for coupled data sources CoRR Arto Klami, Seppo Virtanen, Samuel Kaski
2012	J	`jnl`	Factorized Multi-Modal Topic Model CoRR Seppo Virtanen, Yangqing Jia, Arto Klami, Trevor Darrell
2012	A	`conf`	Factorized Multi-Modal Topic Model. UAI Seppo Virtanen, Yangqing Jia, Arto Klami, Trevor Darrell
2012	—	`conf`	Unsupervised Inference of Auditory Attention from Biosensors. ECML/PKDD (2) Melih Kandemir, Arto Klami, Akos Vetek, Samuel Kaski
2012	C	`conf`	Variational Bayesian Matching. ACML Arto Klami
2011	A*	`conf`	Bayesian CCA via Group Sparsity. ICML Seppo Virtanen, Arto Klami, Samuel Kaski
2011	J	`jnl`	Matching samples of multiple views. Data Min. Knowl. Discov. Abhishek Tripathi, Arto Klami, Matej Oresic, Samuel Kaski
2010	A	`conf`	Bayesian exponential family projections for coupled data sources. UAI Arto Klami, Seppo Virtanen, Samuel Kaski
2010	J	`jnl`	Infinite factorization of multiple non-parametric views. Mach. Learn. Simon Rogers, Arto Klami, Janne Sinkkonen, Mark A. Girolami, Samuel Kaski
2010	—	`conf`	Pinview: Implicit Feedback in Content-Based Image Retrieval. WAPA Peter Auer, Zakria Hussain, Samuel Kaski, Arto Klami, Jussi Kujala, Jorma Laaksonen, Alex Po Leung, Kitsuchart Pasupa, John Shawe-Taylor
2010	—	`conf`	Variational Bayesian Mixture of Robust CCA Models. ECML/PKDD (3) Jaakko Viinikanoja, Arto Klami, Samuel Kaski
2009	Misc	`conf`	Fast dependent components for fMRI analysis. ICASSP Eerika Savia, Arto Klami, Samuel Kaski
2009	B	`conf`	GaZIR: gaze-based zooming interface for image retrieval. ICMI László Kozma, Arto Klami, Samuel Kaski
2009	—	`conf`	Learning to rank images from eye movements. ICCV Workshops Kitsuchart Pasupa, Craig Saunders, Sándor Szedmák, Arto Klami, Samuel Kaski, Steve R. Gunn
2009	Misc	`conf`	Using dependencies to pair samples for multi-view learning. ICASSP Abhishek Tripathi, Arto Klami, Samuel Kaski
2008	—	`conf`	Can relevance of images be inferred from eye movements? Multimedia Information Retrieval Arto Klami, Craig Saunders, Teófilo Emídio de Campos, Samuel Kaski
2008	—	`—`	Modeling of mutual dependencies. Arto Klami
2008	J	`jnl`	Probabilistic approach to detecting dependencies between data sets. Neurocomputing Arto Klami, Samuel Kaski
2008	J	`jnl`	Simple integrative preprocessing preserves what is shared in data sources. BMC Bioinform. Abhishek Tripathi, Arto Klami, Samuel Kaski
2007	A*	`conf`	Local dependent components. ICML Arto Klami, Samuel Kaski
2005	J	`jnl`	Discriminative clustering. Neurocomputing Samuel Kaski, Janne Sinkkonen, Arto Klami
2005	—	`conf`	Non-parametric dependent components. ICASSP (5) Arto Klami, Samuel Kaski
2004	J	`jnl`	Improved learning of Riemannian metrics for exploratory analysis. Neural Networks Jaakko Peltonen, Arto Klami, Samuel Kaski
2003	—	`conf`	Regularized discriminative clustering. NNSP Samuel Kaski, Janne Sinkkonen, Arto Klami
2002	C	`conf`	Learning More Accurate Metrics for Self-Organizing Maps. ICANN Jaakko Peltonen, Arto Klami, Samuel Kaski