Arno Solin

ORCID

Publication Activity (10 Years)

Years Active: 2012-2024
Publications (10 Years): 117

Top Venues

Publications

Prakhar Verma, Vincent Adam, Arno Solin
Variational Gaussian Process Diffusion Processes. AISTATS (2024)
Lassi Meronen, Martin Trapp, Andrea Pilzer, Le Yang, Arno Solin
Fixing Overconfidence in Dynamic Neural Networks. WACV (2024)
Aidan Scannell, Riccardo Mereu, Paul E. Chang, Ella Tamir, Joni Pajarinen, Arno Solin
Function-space Parameterization of Neural Networks for Sequential Learning. CoRR (2024)
Rui Li, Martin Trapp, Marcus Klasson, Arno Solin
Flatness Improves Backbone Generalisation in Few-shot Classification. CoRR (2024)
Lorenzo Loconte, Aleksanteri M. Sladek, Stefan Mengel, Martin Trapp, Arno Solin, Nicolas Gillis, Antonio Vergari
Subtractive Mixture Models via Squaring: Representation and Learning. ICLR (2024)
Severi Rissanen, Markus Heinonen, Arno Solin
Improving Discrete Diffusion Models via Structured Preferential Generation. CoRR (2024)
Aidan Scannell, Riccardo Mereu, Paul Edmund Chang, Ella Tamir, Joni Pajarinen, Arno Solin
Function-space Parameterization of Neural Networks for Sequential Learning. ICLR (2024)
Otto Seiskari, Jerry Ylilammi, Valtteri Kaatrasalo, Pekka Rantalankila, Matias Turkulainen, Juho Kannala, Esa Rahtu, Arno Solin
Gaussian Splatting on the Move: Blur and Rolling Shutter Compensation for Natural Camera Motion. CoRR (2024)
Ella Tamir, Arno Solin
Learning to Approximate Particle Smoothing Trajectories via Diffusion Generative Models. CoRR (2024)
Aidan Scannell, Kalle Kujanpää, Yi Zhao, Mohammadreza Nakhaei, Arno Solin, Joni Pajarinen
iQRL - Implicitly Quantized Representations for Sample-efficient Reinforcement Learning. CoRR (2024)
Najwa Laabid, Severi Rissanen, Markus Heinonen, Arno Solin, Vikas Garg
Alignment is Key for Applying Diffusion Models to Retrosynthesis. CoRR (2024)
Frida Marie Viset, Anton Kullberg, Frederiek Wesel, Arno Solin
Exploiting Hankel-Toeplitz Structures for Fast Computation of Kernel Precision Matrices. Trans. Mach. Learn. Res. 2024 (2024)
Lorenzo Loconte, Aleksanteri M. Sladek, Stefan Mengel, Martin Trapp, Arno Solin, Nicolas Gillis, Antonio Vergari
Subtractive Mixture Models via Squaring: Representation and Learning. CoRR (2023)
Ella Tamir, Martin Trapp, Arno Solin
Transport with Support: Data-Conditional Diffusion Bridges. CoRR (2023)
Rui Li, S. T. John, Arno Solin
Improving Hyperparameter Learning under Approximate Inference in Gaussian Process Models. ICML (2023)
Paul E. Chang, Prakhar Verma, S. T. John, Arno Solin, Mohammad Emtiyaz Khan
Memory-Based Dual Gaussian Processes for Sequential Learning. CoRR (2023)
Aidan Scannell, Riccardo Mereu, Paul E. Chang, Ella Tamir, Joni Pajarinen, Arno Solin
Sparse Function-space Representation of Neural Networks. CoRR (2023)
William J. Wilkinson, Simo Särkkä, Arno Solin
Bayes-Newton Methods for Approximate Bayesian Inference with PSD Guarantees. J. Mach. Learn. Res. 24 (2023)
Prakhar Verma, Vincent Adam, Arno Solin
Variational Gaussian Process Diffusion Processes. CoRR (2023)
Andrea Pilzer, Yuxin Hou, Niki A. Loppi, Arno Solin, Juho Kannala
Expansion of Visual Hints for Improved Generalization in Stereo Matching. WACV (2023)
Rui Li, ST John, Arno Solin
Improving Hyperparameter Learning under Approximate Inference in Gaussian Process Models. CoRR (2023)
Lassi Meronen, Martin Trapp, Andrea Pilzer, Le Yang, Arno Solin
Fixing Overconfidence in Dynamic Neural Networks. CoRR (2023)
Paul Edmund Chang, Prakhar Verma, S. T. John, Arno Solin, Mohammad Emtiyaz Khan
Memory-Based Dual Gaussian Processes for Sequential Learning. ICML (2023)
Manon Kok, Arno Solin, Thomas B. Schön
Rao-Blackwellized Particle Smoothing for Simultaneous Localization and Mapping. CoRR (2023)
Xuanlong Yu, Yi Zuo, Zitao Wang, Xiaowen Zhang, Jiaxuan Zhao, Yuting Yang, Licheng Jiao, Rui Peng, Xinyi Wang, Junpei Zhang, Kexin Zhang, Fang Liu, Roberto Alcover-Couso, Juan C. SanMiguel, Marcos Escudero-Viñolo, Hanlin Tian, Kenta Matsui, Tianhao Wang, Fahmy Adan, Zhitong Gao, Xuming He, Quentin Bouniot, Hossein Moghaddam, Shyam Nandan Rai, Fabio Cermelli, Carlo Masone, Andrea Pilzer, Elisa Ricci, Andrei Bursuc, Arno Solin, Martin Trapp, Rui Li, Angela Yao, Wenlong Chen, Ivor Simpson, Neill D. F. Campbell, Gianni Franchi
The Robust Semantic Segmentation UNCV2023 Challenge Results. CoRR (2023)
Yingtian Zou, Vikas Verma, Sarthak Mittal, Wai Hoh Tang, Hieu Pham, Juho Kannala, Yoshua Bengio, Arno Solin, Kenji Kawaguchi
MixupE: Understanding and improving Mixup from directional derivative perspective. UAI (2023)
Ella Tamir, Martin Trapp, Arno Solin
Transport with Support: Data-Conditional Diffusion Bridges. Trans. Mach. Learn. Res. 2023 (2023)
Gabriel Riutort-Mayol, Paul-Christian Bürkner, Michael Riis Andersen, Arno Solin, Aki Vehtari
Practical Hilbert space approximate Bayesian Gaussian processes for probabilistic programming. Stat. Comput. 33 (1) (2023)
Severi Rissanen, Markus Heinonen, Arno Solin
Generative Modelling with Inverse Heat Dissipation. ICLR (2023)
Xuanlong Yu, Yi Zuo, Zitao Wang, Xiaowen Zhang, Jiaxuan Zhao, Yuting Yang, Licheng Jiao, Rui Peng, Xinyi Wang, Junpei Zhang, Kexin Zhang, Fang Liu, Roberto Alcover-Couso, Juan C. SanMiguel, Marcos Escudero-Viñolo, Hanlin Tian, Kenta Matsui, Tianhao Wang, Fahmy Adan, Zhitong Gao, Xuming He, Quentin Bouniot, Hossein Moghaddam, Shyam Nandan Rai, Fabio Cermelli, Carlo Masone, Andrea Pilzer, Elisa Ricci, Andrei Bursuc, Arno Solin, Martin Trapp, Rui Li, Angela Yao, Wenlong Chen, Ivor Simpson, Neill D. F. Campbell, Gianni Franchi
The Robust Semantic Segmentation UNCV2023 Challenge Results. ICCV (Workshops) (2023)
Andrea Pilzer, Yuxin Hou, Niki A. Loppi, Arno Solin, Juho Kannala
Expansion of Visual Hints for Improved Generalization in Stereo Matching. CoRR (2022)
Arno Solin, Rui Li, Andrea Pilzer
A Look at Improving Robustness in Visual-inertial SLAM by Moment Matching. CoRR (2022)
Vikas Verma, Kenji Kawaguchi, Alex Lamb, Juho Kannala, Arno Solin, Yoshua Bengio, David Lopez-Paz
Interpolation consistency training for semi-supervised learning. Neural Networks 145 (2022)
Otto Seiskari, Pekka Rantalankila, Juho Kannala, Jerry Ylilammi, Esa Rahtu, Arno Solin
HybVIO: Pushing the Limits of Real-time Visual-inertial Odometry. WACV (2022)
Rui Li, St John, Arno Solin
Towards Improved Learning in Gaussian Processes: The Best of Two Worlds. CoRR (2022)
Vikas Verma, Sarthak Mittal, Wai Hoh Tang, Hieu Pham, Juho Kannala, Yoshua Bengio, Arno Solin, Kenji Kawaguchi
MixupE: Understanding and Improving Mixup from Directional Derivative Perspective. CoRR (2022)
Severi Rissanen, Markus Heinonen, Arno Solin
Generative Modelling With Inverse Heat Dissipation. CoRR (2022)
Ari Heljakka, Martin Trapp, Juho Kannala, Arno Solin
Representational Multiplicity Should Be Exposed, Not Eliminated. CoRR (2022)
Paul E. Chang, Prakhar Verma, St John, Victor Picheny, Henry B. Moss, Arno Solin
Fantasizing with Dual GPs in Bayesian Optimization and Active Learning. CoRR (2022)
Subhankar Roy, Martin Trapp, Andrea Pilzer, Juho Kannala, Nicu Sebe, Elisa Ricci, Arno Solin
Uncertainty-Guided Source-Free Domain Adaptation. ECCV (25) (2022)
Alexander V. Nikitin, St John, Arno Solin, Samuel Kaski
Non-separable Spatio-temporal Graph Kernels via SPDEs. AISTATS (2022)
Arno Solin, Rui Li, Andrea Pilzer
A Look at Improving Robustness in Visual- inertial SLAM by Moment Matching. FUSION (2022)
Subhankar Roy, Martin Trapp, Andrea Pilzer, Juho Kannala, Nicu Sebe, Elisa Ricci, Arno Solin
Uncertainty-guided Source-free Domain Adaptation. CoRR (2022)
Alexander Nikitin, S. T. John, Arno Solin, Samuel Kaski
Non-separable Spatio-temporal Graph Kernels via SPDEs. CoRR (2021)
Arno Solin, Ella Tamir, Prakhar Verma
Scalable Inference in SDEs by Direct Matching of the Fokker-Planck-Kolmogorov Equation. CoRR (2021)
Yuxin Hou, Ari Heljakka, Arno Solin
Gaussian Process Priors for View-Aware Inference. AAAI (2021)
Oliver Hamelijnck, William J. Wilkinson, Niki A. Loppi, Arno Solin, Theodoros Damoulas
Spatio-Temporal Variational Gaussian Processes. CoRR (2021)
Vincent Adam, Paul E. Chang, Mohammad Emtiyaz Khan, Arno Solin
Dual Parameterization of Sparse Variational Gaussian Processes. NeurIPS (2021)
William J. Wilkinson, Simo Särkkä, Arno Solin
Bayes-Newton Methods for Approximate Bayesian Inference with PSD Guarantees. CoRR (2021)
Arno Solin, Ella Tamir, Prakhar Verma
Scalable Inference in SDEs by Direct Matching of the Fokker-Planck-Kolmogorov Equation. NeurIPS (2021)
Vincent Adam, Paul E. Chang, Mohammad Emtiyaz Khan, Arno Solin
Dual Parameterization of Sparse Variational Gaussian Processes. CoRR (2021)
Yuxin Hou, Arno Solin, Juho Kannala
Novel View Synthesis via Depth-guided Skip Connections. CoRR (2021)
Lassi Meronen, Martin Trapp, Arno Solin
Periodic Activation Functions Induce Stationarity. CoRR (2021)
Oliver Hamelijnck, William J. Wilkinson, Niki A. Loppi, Arno Solin, Theodoros Damoulas
Spatio-Temporal Variational Gaussian Processes. NeurIPS (2021)
Will Tebbutt, Arno Solin, Richard E. Turner
Combining pseudo-point and state space approximations for sum-separable Gaussian Processes. UAI (2021)
Lassi Meronen, Martin Trapp, Arno Solin
Periodic Activation Functions Induce Stationarity. NeurIPS (2021)
Yuxin Hou, Arno Solin, Juho Kannala
Novel View Synthesis via Depth-guided Skip Connections. WACV (2021)
Otto Seiskari, Pekka Rantalankila, Juho Kannala, Jerry Ylilammi, Esa Rahtu, Arno Solin
HybVIO: Pushing the Limits of Real-time Visual-inertial Odometry. CoRR (2021)
William J. Wilkinson, Arno Solin, Vincent Adam
Sparse Algorithms for Markovian Gaussian Processes. AISTATS (2021)
William J. Wilkinson, Arno Solin, Vincent Adam
Sparse Algorithms for Markovian Gaussian Processes. CoRR (2021)
Will Tebbutt, Arno Solin, Richard E. Turner
Combining Pseudo-Point and State Space Approximations for Sum-Separable Gaussian Processes. CoRR (2021)
Wessel Bruinsma, Eric Perim, William Tebbutt, J. Scott Hosking, Arno Solin, Richard E. Turner
Scalable Exact Inference in Multi-Output Gaussian Processes. ICML (2020)
Rinu Boney, Jussi Sainio, Mikko Kaivola, Arno Solin, Juho Kannala
RealAnt: An Open-Source Low-Cost Quadruped for Research in Real-World Reinforcement Learning. CoRR (2020)
Lassi Meronen, William J. Wilkinson, Arno Solin
Movement Tracking by Optical Flow Assisted Inertial Navigation. CoRR (2020)
Arno Solin, Simo Särkkä
Hilbert space methods for reduced-rank Gaussian process regression. Stat. Comput. 30 (2) (2020)
William J. Wilkinson, Paul E. Chang, Michael Riis Andersen, Arno Solin
State Space Expectation Propagation: Efficient Inference Schemes for Temporal Gaussian Processes. CoRR (2020)
Perttu Hämäläinen, Arno Solin
Deep Residual Mixture Models. CoRR (2020)
Lassi Meronen, Christabella Irwanto, Arno Solin
Stationary Activations for Uncertainty Calibration in Deep Learning. NeurIPS (2020)
Ari Heljakka, Yuxin Hou, Juho Kannala, Arno Solin
Deep Automodulators. NeurIPS (2020)
Ari Heljakka, Arno Solin, Juho Kannala
Towards Photographic Image Manipulation with Balanced Growing of Generative Autoencoders. WACV (2020)
Lassi Meronen, Christabella Irwanto, Arno Solin
Stationary Activations for Uncertainty Calibration in Deep Learning. CoRR (2020)
Paul E. Chang, William J. Wilkinson, Mohammad Emtiyaz Khan, Arno Solin
Fast Variational Learning in State-Space Gaussian Process Models. CoRR (2020)
Yuxin Hou, Muhammad Kamran Janjua, Juho Kannala, Arno Solin
Movement-induced Priors for Deep Stereo. ICPR (2020)
Paul E. Chang, William J. Wilkinson, Mohammad Emtiyaz Khan, Arno Solin
Fast Variational Learning in State-Space Gaussian Process Models. MLSP (2020)
Yuxin Hou, Muhammad Kamran Janjua, Juho Kannala, Arno Solin
Movement-induced Priors for Deep Stereo. CoRR (2020)
William J. Wilkinson, Paul E. Chang, Michael Riis Andersen, Arno Solin
State Space Expectation Propagation: Efficient Inference Schemes for Temporal Gaussian Processes. ICML (2020)
Lassi Meronen, William J. Wilkinson, Arno Solin
Movement Tracking by Optical Flow Assisted Inertial Navigation. FUSION (2020)
William J. Wilkinson, Michael Riis Andersen, Joshua D. Reiss, Dan Stowell, Arno Solin
Unifying Probabilistic Models for Time-frequency Analysis. ICASSP (2019)
William J. Wilkinson, Michael Riis Andersen, Joshua D. Reiss, Dan Stowell, Arno Solin
End-to-End Probabilistic Inference for Nonstationary Audio Analysis. CoRR (2019)
William J. Wilkinson, Michael Riis Andersen, Joshua D. Reiss, Dan Stowell, Arno Solin
End-to-End Probabilistic Inference for Nonstationary Audio Analysis. ICML (2019)
Ari Heljakka, Arno Solin, Juho Kannala
Towards Photographic Image Manipulation with Balanced Growing of Generative Autoencoders. CoRR (2019)
Arno Solin, Manon Kok
Know Your Boundaries: Constraining Gaussian Processes by Variational Harmonic Features. AISTATS (2019)
Wessel P. Bruinsma, Eric Perim, William Tebbutt, J. Scott Hosking, Arno Solin, Richard E. Turner
Scalable Exact Inference in Multi-Output Gaussian Processes. CoRR (2019)
Santiago Cortés Reina, Yuxin Hou, Juho Kannala, Arno Solin
Iterative Path Reconstruction for Large-Scale Inertial Navigation on Smartphones. FUSION (2019)
Santiago Cortés Reina, Yuxin Hou, Juho Kannala, Arno Solin
Iterative Path Reconstruction for Large-Scale Inertial Navigation on Smartphones. CoRR (2019)
Yuxin Hou, Juho Kannala, Arno Solin
Multi-View Stereo by Temporal Nonparametric Fusion. CoRR (2019)
Yuxin Hou, Ari Heljakka, Arno Solin
Gaussian Process Priors for View-Aware Inference. CoRR (2019)
Yuxin Hou, Juho Kannala, Arno Solin
Multi-View Stereo by Temporal Nonparametric Fusion. ICCV (2019)
Yuxin Hou, Arno Solin, Juho Kannala
Unstructured Multi-view Depth Estimation Using Mask-Based Multiplane Representation. SCIA (2019)
Arno Solin, Manon Kok
Know Your Boundaries: Constraining Gaussian Processes by Variational Harmonic Features. CoRR (2019)
Ari Heljakka, Yuxin Hou, Juho Kannala, Arno Solin
Deep Automodulators. CoRR (2019)
Yuxin Hou, Arno Solin, Juho Kannala
Unstructured Multi-View Depth Estimation Using Mask-Based Multiplane Representation. CoRR (2019)
Santiago Cortés Reina, Arno Solin, Juho Kannala
Robust Gyroscope-Aided Camera Self-Calibration. CoRR (2018)
Ari Heljakka, Arno Solin, Juho Kannala
Recursive Chaining of Reversible Image-to-Image Translators for Face Aging. ACIVS (2018)
Santiago Cortés Reina, Arno Solin, Juho Kannala
Deep Learning Based Speed Estimation for Constraining Strapdown Inertial Navigation on Smartphones. CoRR (2018)
Ari Heljakka, Arno Solin, Juho Kannala
Pioneer Networks: Progressively Growing Generative Autoencoder. ACCV (1) (2018)
Santiago Cortés Reina, Arno Solin, Esa Rahtu, Juho Kannala
ADVIO: An authentic dataset for visual-inertial odometry. CoRR (2018)
Arno Solin, James Hensman, Richard E. Turner
Infinite-Horizon Gaussian Processes. NeurIPS (2018)
Arno Solin, James Hensman, Richard E. Turner
Infinite-Horizon Gaussian Processes. CoRR (2018)
Arno Solin, Manon Kok, Niklas Wahlstrom, Thomas B. Schön, Simo Särkkä
Modeling and Interpolation of the Ambient Magnetic Field by Gaussian Processes. IEEE Trans. Robotics 34 (4) (2018)

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Publication Activity (10 Years)

Top Topics

Top Venues

Arno Solin