Dynamic retrospective filtering of physiological noise in BOLD fMRI: DRIFTER. - Simo Särkkä; Arno Solin; Aapo Nummenmaa; Aki Vehtari; Toni Auranen; Simo Vanni; Fa-Hsuan Lin (NeuroImage, 2012)

Continuous-Space Gaussian Process Regression and Generalized Wiener Filtering with Application to Learning Curves. - Simo Särkkä; Arno Solin (SCIA, 2013)

Spatiotemporal Learning via Infinite-Dimensional Bayesian Filtering and Smoothing: A Look at Gaussian Process Regression Through Kalman Filtering. - Simo Särkkä; Arno Solin; Jouni Hartikainen (IEEE Signal Process. Mag., 2013)

Explicit Link Between Periodic Covariance Functions and State Space Models. - Arno Solin; Simo Särkkä (AISTATS, 2014)

Expectation maximization based parameter estimation by sigma-point and particle smoothing. - Juho Kokkala; Arno Solin; Simo Särkkä (FUSION, 2014)

Gaussian quadratures for state space approximation of scale mixtures of squared exponential covariance functions. - Arno Solin; Simo Särkkä (MLSP, 2014)

The 10th annual MLSP competition: First place. - Arno Solin; Simo Särkkä (MLSP, 2014)

State Space Methods for Efficient Inference in Student-t Process Regression. - Arno Solin; Simo Särkkä (AISTATS, 2015)

Nonlinear state space model identification using a regularized basis function expansion. - Andreas Svensson; Thomas B. Schön; Arno Solin; Simo Särkkä (CAMSAP, 2015)

The Blind Leading the Blind: Network-Based Location Estimation Under Uncertainty. - Eric Malmi; Arno Solin; Aristides Gionis (ECML/PKDD (2), 2015)

Computationally Efficient Bayesian Learning of Gaussian Process State Space Models. - Andreas Svensson; Arno Solin; Simo Särkkä; Thomas B. Schön (AISTATS, 2016)

Variational Fourier Features for Gaussian Processes. - James Hensman; Nicolas Durrande; Arno Solin (J. Mach. Learn. Res., 2017)

Pioneer Networks: Progressively Growing Generative Autoencoder. - Ari Heljakka; Arno Solin; Juho Kannala (ACCV (1), 2018)

Recursive Chaining of Reversible Image-to-Image Translators for Face Aging. - Ari Heljakka; Arno Solin; Juho Kannala (ACIVS, 2018)

ADVIO: An Authentic Dataset for Visual-Inertial Odometry. - Santiago Cortés Reina; Arno Solin; Esa Rahtu; Juho Kannala (ECCV (10), 2018)

Scalable Magnetic Field SLAM in 3D Using Gaussian Process Maps. - Manon Kok; Arno Solin (FUSION, 2018)

Robust Gyroscope-Aided Camera Self-Calibration. - Santiago Cortés Reina; Arno Solin; Juho Kannala (FUSION, 2018)

Inertial Odometry on Handheld Smartphones. - Arno Solin; Santiago Cortés Reina; Esa Rahtu; Juho Kannala (FUSION, 2018)

State Space Gaussian Processes with Non-Gaussian Likelihood. - Hannes Nickisch; Arno Solin; Alexander Grigorevskiy (ICML, 2018)

Deep Learning based Speed estimation for Constraining Strapdown inertial Navigation on Smartphones. - Santiago Cortés Reina; Arno Solin; Juho Kannala (MLSP, 2018)

Infinite-Horizon Gaussian Processes. - Arno Solin; James Hensman; Richard E. Turner (NeurIPS, 2018)

PIVO: Probabilistic Inertial-Visual Odometry for Occlusion-Robust Navigation. - Arno Solin; Santiago Cortés Reina; Esa Rahtu; Juho Kannala (WACV, 2018)

Computationally Inferred Genealogical Networks Uncover Long-Term Trends in Assortative Mating. - Eric Malmi; Aristides Gionis; Arno Solin (WWW, 2018)

Modeling and Interpolation of the Ambient Magnetic Field by Gaussian Processes. - Arno Solin; Manon Kok; Niklas Wahlstrom; Thomas B. Schön; Simo Särkkä (IEEE Trans. Robotics, 2018)

ADVIO: An Authentic Dataset for Visual-Inertial Odometry. - Santiago Cortés Reina; Arno Solin; Esa Rahtu; Juho Kannala (Zenodo, 2018)

ADVIO: An Authentic Dataset for Visual-Inertial Odometry. - Santiago Cortés Reina; Arno Solin; Esa Rahtu; Juho Kannala (Zenodo, 2018)

ADVIO: An Authentic Dataset for Visual-Inertial Odometry. - Santiago Cortés Reina; Arno Solin; Esa Rahtu; Juho Kannala (Zenodo, 2018)

Know Your Boundaries: Constraining Gaussian Processes by Variational Harmonic Features. - Arno Solin; Manon Kok (AISTATS, 2019)

Iterative Path Reconstruction for Large-Scale Inertial Navigation on Smartphones. - Santiago Cortés Reina; Yuxin Hou; Juho Kannala; Arno Solin (FUSION, 2019)

Unifying Probabilistic Models for Time-frequency Analysis. - William J. Wilkinson; Michael Riis Andersen; Joshua D. Reiss; Dan Stowell; Arno Solin (ICASSP, 2019)

Multi-View Stereo by Temporal Nonparametric Fusion. - Yuxin Hou; Juho Kannala; Arno Solin (ICCV, 2019)

End-to-End Probabilistic Inference for Nonstationary Audio Analysis. - William J. Wilkinson; Michael Riis Andersen; Joshua D. Reiss; Dan Stowell; Arno Solin (ICML, 2019)

Unstructured Multi-view Depth Estimation Using Mask-Based Multiplane Representation. - Yuxin Hou; Arno Solin; Juho Kannala (SCIA, 2019)

Movement Tracking by Optical Flow Assisted Inertial Navigation. - Lassi Meronen; William J. Wilkinson; Arno Solin (FUSION, 2020)

Scalable Exact Inference in Multi-Output Gaussian Processes. - Wessel P. Bruinsma; Eric Perim; William Tebbutt; J. Scott Hosking; Arno Solin; Richard E. Turner (ICML, 2020)

State Space Expectation Propagation: Efficient Inference Schemes for Temporal Gaussian Processes. - William J. Wilkinson; Paul E. Chang; Michael Riis Andersen; Arno Solin (ICML, 2020)

Movement-induced Priors for Deep Stereo. - Yuxin Hou; Muhammad Kamran Janjua; Juho Kannala; Arno Solin (ICPR, 2020)

Fast Variational Learning in State-Space Gaussian Process Models. - Paul E. Chang; William J. Wilkinson; Mohammad Emtiyaz Khan; Arno Solin (MLSP, 2020)

Deep Automodulators. - Ari Heljakka; Yuxin Hou; Juho Kannala; Arno Solin (NeurIPS, 2020)

Stationary Activations for Uncertainty Calibration in Deep Learning. - Lassi Meronen; Christabella Irwanto; Arno Solin (NeurIPS, 2020)

Towards Photographic Image Manipulation with Balanced Growing of Generative Autoencoders. - Ari Heljakka; Arno Solin; Juho Kannala (WACV, 2020)

Deep Residual Mixture Models. - Perttu Hämäläinen; Arno Solin (CoRR, 2020)

RealAnt: An Open-Source Low-Cost Quadruped for Research in Real-World Reinforcement Learning. - Rinu Boney; Jussi Sainio; Mikko Kaivola; Arno Solin; Juho Kannala (CoRR, 2020)

Hilbert space methods for reduced-rank Gaussian process regression. - Arno Solin; Simo Särkkä (Stat. Comput., 2020)

Gaussian Process Priors for View-Aware Inference. - Yuxin Hou; Ari Heljakka; Arno Solin (AAAI, 2021)

Sparse Algorithms for Markovian Gaussian Processes. - William J. Wilkinson; Arno Solin; Vincent Adam (AISTATS, 2021)

Dual Parameterization of Sparse Variational Gaussian Processes. - Vincent Adam; Paul E. Chang; Mohammad Emtiyaz Khan; Arno Solin (NeurIPS, 2021)

Spatio-Temporal Variational Gaussian Processes. - Oliver Hamelijnck; William J. Wilkinson; Niki Andreas Lopi; Arno Solin; Theodoros Damoulas (NeurIPS, 2021)

Periodic Activation Functions Induce Stationarity. - Lassi Meronen; Martin Trapp 001; Arno Solin (NeurIPS, 2021)

Scalable Inference in SDEs by Direct Matching of the Fokker-Planck-Kolmogorov Equation. - Arno Solin; Ella Tamir; Prakhar Verma (NeurIPS, 2021)

Combining pseudo-point and state space approximations for sum-separable Gaussian Processes. - Will Tebbutt; Arno Solin; Richard E. Turner (UAI, 2021)

Novel View Synthesis via Depth-guided Skip Connections. - Yuxin Hou; Arno Solin; Juho Kannala (WACV, 2021)

Non-separable Spatio-temporal Graph Kernels via SPDEs. - Alexander V. Nikitin; S. T. John; Arno Solin; Samuel Kaski (AISTATS, 2022)

Uncertainty-Guided Source-Free Domain Adaptation. - Subhankar Roy; Martin Trapp 001; Andrea Pilzer; Juho Kannala; Nicu Sebe; Elisa Ricci 001; Arno Solin (ECCV (25), 2022)

A Look at Improving Robustness in Visual- inertial SLAM by Moment Matching. - Arno Solin; Rui Li; Andrea Pilzer (FUSION, 2022)

HybVIO: Pushing the Limits of Real-time Visual-inertial Odometry. - Otto Seiskari; Pekka Rantalankila; Juho Kannala; Jerry Ylilammi; Esa Rahtu; Arno Solin (WACV, 2022)

Representational Multiplicity Should Be Exposed, Not Eliminated. - Ari Heljakka; Martin Trapp 001; Juho Kannala; Arno Solin (CoRR, 2022)

Fantasizing with Dual GPs in Bayesian Optimization and Active Learning. - Paul E. Chang; Prakhar Verma; S. T. John; Victor Picheny; Henry B. Moss; Arno Solin (CoRR, 2022)

Towards Improved Learning in Gaussian Processes: The Best of Two Worlds. - Rui Li; S. T. John; Arno Solin (CoRR, 2022)

MixupE: Understanding and Improving Mixup from Directional Derivative Perspective. - Vikas Verma; Sarthak Mittal; Wai Hoh Tang; Hieu Pham 001; Juho Kannala; Yoshua Bengio; Arno Solin; Kenji Kawaguchi (CoRR, 2022)

Interpolation consistency training for semi-supervised learning. - Vikas Verma; Kenji Kawaguchi; Alex Lamb; Juho Kannala; Arno Solin; Yoshua Bengio; David Lopez-Paz (Neural Networks, 2022)

The Robust Semantic Segmentation UNCV2023 Challenge Results. - Xuanlong Yu; Yi Zuo; Zitao Wang; Xiaowen Zhang; Jiaxuan Zhao; Yuting Yang 008; Licheng Jiao; Rui Peng; Xinyi Wang; Junpei Zhang; Kexin Zhang 003; Fang Liu 001; et al. (ICCV (Workshops), 2023)

Generative Modelling with Inverse Heat Dissipation. - Severi Rissanen; Markus Heinonen; Arno Solin (ICLR, 2023)

Memory-Based Dual Gaussian Processes for Sequential Learning. - Paul Edmund Chang; Prakhar Verma; S. T. John; Arno Solin; Mohammad Emtiyaz Khan (ICML, 2023)

Improving Hyperparameter Learning under Approximate Inference in Gaussian Process Models. - Rui Li; S. T. John; Arno Solin (ICML, 2023)

MixupE: Understanding and improving Mixup from directional derivative perspective. - Yingtian Zou; Vikas Verma; Sarthak Mittal; Wai Hoh Tang; Hieu Pham 001; Juho Kannala; Yoshua Bengio; Arno Solin; Kenji Kawaguchi (UAI, 2023)

Expansion of Visual Hints for Improved Generalization in Stereo Matching. - Andrea Pilzer; Yuxin Hou; Niki Andreas Lopi; Arno Solin; Juho Kannala (WACV, 2023)

Rao-Blackwellized Particle Smoothing for Simultaneous Localization and Mapping. - Manon Kok; Arno Solin; Thomas B. Schön (CoRR, 2023)

Sparse Function-space Representation of Neural Networks. - Aidan Scannell; Riccardo Mereu; Paul E. Chang; Ella Tamir; Joni Pajarinen; Arno Solin (CoRR, 2023)

Bayes-Newton Methods for Approximate Bayesian Inference with PSD Guarantees. - William J. Wilkinson; Simo Särkkä; Arno Solin (J. Mach. Learn. Res., 2023)

Practical Hilbert space approximate Bayesian Gaussian processes for probabilistic programming. - Gabriel Riutort-Mayol; Paul-Christian Bürkner; Michael Riis Andersen; Arno Solin; Aki Vehtari (Stat. Comput., 2023)

Transport with Support: Data-Conditional Diffusion Bridges. - Ella Tamir; Martin Trapp 001; Arno Solin (Trans. Mach. Learn. Res., 2023)

Variational Gaussian Process Diffusion Processes. - Prakhar Verma; Vincent Adam; Arno Solin (AISTATS, 2024)

Sources of Uncertainty in 3D Scene Reconstruction. - Marcus Klasson; Riccardo Mereu; Juho Kannala; Arno Solin (ECCV Workshops (17), 2024)

Gaussian Splatting on the Move: Blur and Rolling Shutter Compensation for Natural Camera Motion. - Otto Seiskari; Jerry Ylilammi; Valtteri Kaatrasalo; Pekka Rantalankila; Matias Turkulainen; Juho Kannala; Esa Rahtu; Arno Solin (ECCV (71), 2024)

Learning to Approximate Particle Smoothing Trajectories via Diffusion Generative Models. - Ella Tamir; Arno Solin (FUSION, 2024)

Subtractive Mixture Models via Squaring: Representation and Learning. - Lorenzo Loconte; Aleksanteri M. Sladek; Stefan Mengel; Martin Trapp 001; Arno Solin; Nicolas Gillis; Antonio Vergari (ICLR, 2024)

Function-space Parameterization of Neural Networks for Sequential Learning. - Aidan Scannell; Riccardo Mereu; Paul Edmund Chang; Ella Tamir; Joni Pajarinen; Arno Solin (ICLR, 2024)

Online One-Dimensional Magnetic Field SLAM with Loop-Closure Detection. - Manon Kok; Arno Solin (MFI, 2024)

Physics-Informed Variational State-Space Gaussian Processes. - Oliver Hamelijnck; Arno Solin; Theodoros Damoulas (NeurIPS, 2024)

Fixing Overconfidence in Dynamic Neural Networks. - Lassi Meronen; Martin Trapp 001; Andrea Pilzer; Le Yang 007; Arno Solin (WACV, 2024)

Alignment is Key for Applying Diffusion Models to Retrosynthesis. - Najwa Laabid; Severi Rissanen; Markus Heinonen; Arno Solin; Vikas Garg 001 (CoRR, 2024)

Improving Discrete Diffusion Models via Structured Preferential Generation. - Severi Rissanen; Markus Heinonen; Arno Solin (CoRR, 2024)

iQRL - Implicitly Quantized Representations for Sample-efficient Reinforcement Learning. - Aidan Scannell; Kalle Kujanpää; Yi Zhao 014; Mohammadreza Nakhaei; Arno Solin; Joni Pajarinen (CoRR, 2024)

Plan⨉RAG: Planning-guided Retrieval Augmented Generation. - Prakhar Verma; Sukruta Prakash Midigeshi; Gaurav Sinha 001; Arno Solin; Nagarajan Natarajan; Amit Sharma (CoRR, 2024)

Differentially Private Continual Learning using Pre-Trained Models. - Marlon Tobaben; Marcus Klasson; Rui Li 001; Arno Solin; Antti Honkela (CoRR, 2024)

Post-hoc Probabilistic Vision-Language Models. - Anton Baumann; Rui Li 001; Marcus Klasson; Santeri Mentu; Shyamgopal Karthik; Zeynep Akata; Arno Solin; Martin Trapp 001 (CoRR, 2024)

Exploiting Hankel-Toeplitz Structures for Fast Computation of Kernel Precision Matrices. - Frida Marie Viset; Anton Kullberg; Frederiek Wesel; Arno Solin (Trans. Mach. Learn. Res., 2024)

DeSplat: Decomposed Gaussian Splatting for Distractor-Free Rendering. - Yihao Wang; Marcus Klasson; Matias Turkulainen; Shuzhe Wang; Juho Kannala; Arno Solin (CVPR, 2025)

Equivariant Denoisers Cannot Copy Graphs: Align Your Graph Diffusion Models. - Najwa Laabid; Severi Rissanen; Markus Heinonen; Arno Solin; Vikas Garg 001 (ICLR, 2025)

Streamlining Prediction in Bayesian Deep Learning. - Rui Li 001; Marcus Klasson; Arno Solin; Martin Trapp 001 (ICLR, 2025)

Free Hunch: Denoiser Covariance Estimation for Diffusion Models Without Extra Costs. - Severi Rissanen; Markus Heinonen; Arno Solin (ICLR, 2025)

Discrete Codebook World Models for Continuous Control. - Aidan Scannell; Mohammadreza Nakhaeinezhadfard; Kalle Kujanpää; Yi Zhao 014; Kevin Sebastian Luck; Arno Solin; Joni Pajarinen (ICLR, 2025)

FIORD: A Fisheye Indoor-Outdoor Dataset with LIDAR Ground Truth for 3D Scene Reconstruction and Benchmarking. - Ulas Gunes; Matias Turkulainen; Xuqian Ren; Arno Solin; Juho Kannala; Esa Rahtu (SCIA (2), 2025)

Compressing 3D Gaussian Splatting by Noise-Substituted Vector Quantization. - Haishan Wang; Mohammad Hassan Vali; Arno Solin (SCIA (1), 2025)

Approximate Bayesian Inference via Bitstring Representations. - Aleksanteri M. Sladek; Martin Trapp 001; Arno Solin (UAI, 2025)

Flatness Improves Backbone Generalisation in Few-Shot Classification. - Rui Li 001; Martin Trapp 001; Marcus Klasson; Arno Solin (WACV, 2025)

Heterophily-informed Message Passing. - Haishan Wang; Arno Solin; Vikas K. Garg 001 (Trans. Mach. Learn. Res., 2025)

Generalist World Model Pre-Training for Efficient Reinforcement Learning. - Yi Zhao 014; Aidan Scannell; Yuxin Hou; Tianyu Cui; Le Chen; Dieter Büchler; Arno Solin; Juho Kannala; Joni Pajarinen (CoRR, 2025)

Progressive Tempering Sampler with Diffusion. - Severi Rissanen; Ruikang Ouyang; Jiajun He 003; Wenlin Chen; Markus Heinonen; Arno Solin; José Miguel Hernández-Lobato (CoRR, 2025)

Think Global, Act Local: Bayesian Causal Discovery with Language Models in Sequential Data. - Prakhar Verma; David Arbour; Sunav Choudhary; Harshita Chopra; Arno Solin; Atanu R. Sinha (CoRR, 2025)

Finding 3D Positions of Distant Objects from Noisy Camera Movement and Semantic Segmentation Sequences. - Julius Pesonen; Arno Solin; Eija Honkavaara (CoRR, 2025)

DiVeQ: Differentiable Vector Quantization Using the Reparameterization Trick. - Mohammad Hassan Vali; Tom Bäckström; Arno Solin (CoRR, 2025)