Arno Solin - RankMe

171 papers A* 26A 17B 2C 8Misc 1Journal 100Unranked 17

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	PAWS: Perception of Articulation in the Wild at Scale from Egocentric Videos. CoRR Yihao Wang, Yang Miao, Wenshuai Zhao, Wenyan Yang, Zihan Wang, Joni Pajarinen, Luc Van Gool, Danda Pani Paudel, Juho Kannala, Xi Wang, Arno Solin
2026	J	`jnl`	Sparsely Supervised Diffusion. CoRR Wenshuai Zhao, Zhiyuan Li, Yi Zhao, Mohammad Hassan Vali, Martin Trapp, Joni Pajarinen, Juho Kannala, Arno Solin
2025	A	`conf`	Approximate Bayesian Inference via Bitstring Representations. UAI Aleksanteri M. Sladek, Martin Trapp, Arno Solin
2025	J	`jnl`	Approximate Bayesian Inference via Bitstring Representations. CoRR Aleksanteri M. Sladek, Martin Trapp, Arno Solin
2025	—	`conf`	Compressing 3D Gaussian Splatting by Noise-Substituted Vector Quantization. SCIA (1) Haishan Wang, Mohammad Hassan Vali, Arno Solin
2025	J	`jnl`	Compressing 3D Gaussian Splatting by Noise-Substituted Vector Quantization. CoRR Haishan Wang, Mohammad Hassan Vali, Arno Solin
2025	A*	`conf`	DeSplat: Decomposed Gaussian Splatting for Distractor-Free Rendering. CVPR Yihao Wang, Marcus Klasson, Matias Turkulainen, Shuzhe Wang, Juho Kannala, Arno Solin
2025	J	`jnl`	DiVeQ: Differentiable Vector Quantization Using the Reparameterization Trick. CoRR Mohammad Hassan Vali, Tom Bäckström, Arno Solin
2025	A*	`conf`	Discrete Codebook World Models for Continuous Control. ICLR Aidan Scannell, Mohammadreza Nakhaeinezhadfard, Kalle Kujanpää, Yi Zhao, Kevin Sebastian Luck, Arno Solin, Joni Pajarinen
2025	J	`jnl`	Discrete Codebook World Models for Continuous Control. CoRR Aidan Scannell, Mohammadreza Nakhaei, Kalle Kujanpää, Yi Zhao, Kevin Sebastian Luck, Arno Solin, Joni Pajarinen
2025	A*	`conf`	Equivariant Denoisers Cannot Copy Graphs: Align Your Graph Diffusion Models. ICLR Najwa Laabid, Severi Rissanen, Markus Heinonen, Arno Solin, Vikas Garg
2025	—	`conf`	FIORD: A Fisheye Indoor-Outdoor Dataset with LIDAR Ground Truth for 3D Scene Reconstruction and Benchmarking. SCIA (2) Ulas Gunes, Matias Turkulainen, Xuqian Ren, Arno Solin, Juho Kannala, Esa Rahtu
2025	J	`jnl`	FIORD: A Fisheye Indoor-Outdoor Dataset with LIDAR Ground Truth for 3D Scene Reconstruction and Benchmarking. CoRR Ulas Gunes, Matias Turkulainen, Xuqian Ren, Arno Solin, Juho Kannala, Esa Rahtu
2025	J	`jnl`	Finding 3D Positions of Distant Objects from Noisy Camera Movement and Semantic Segmentation Sequences. CoRR Julius Pesonen, Arno Solin, Eija Honkavaara
2025	A	`conf`	Flatness Improves Backbone Generalisation in Few-Shot Classification. WACV Rui Li, Martin Trapp, Marcus Klasson, Arno Solin
2025	A*	`conf`	Free Hunch: Denoiser Covariance Estimation for Diffusion Models Without Extra Costs. ICLR Severi Rissanen, Markus Heinonen, Arno Solin
2025	J	`jnl`	Generalist World Model Pre-Training for Efficient Reinforcement Learning. CoRR Yi Zhao, Aidan Scannell, Yuxin Hou, Tianyu Cui, Le Chen, Dieter Büchler, Arno Solin, Juho Kannala, Joni Pajarinen
2025	J	`jnl`	Heterophily-informed Message Passing. CoRR Haishan Wang, Arno Solin, Vikas Garg
2025	J	`jnl`	Heterophily-informed Message Passing. Trans. Mach. Learn. Res. Haishan Wang, Arno Solin, Vikas K. Garg
2025	J	`jnl`	PriorGuide: Test-Time Prior Adaptation for Simulation-Based Inference. CoRR Yang Yang, Severi Rissanen, Paul E. Chang, Nasrulloh R. B. S. Loka, Daolang Huang, Arno Solin, Markus Heinonen, Luigi Acerbi
2025	A*	`conf`	Progressive Tempering Sampler with Diffusion. ICML Severi Rissanen, Ruikang Ouyang, Jiajun He, Wenlin Chen, Markus Heinonen, Arno Solin, José Miguel Hernández-Lobato
2025	J	`jnl`	Progressive Tempering Sampler with Diffusion. CoRR Severi Rissanen, Ruikang Ouyang, Jiajun He, Wenlin Chen, Markus Heinonen, Arno Solin, José Miguel Hernández-Lobato
2025	J	`jnl`	Self-Attention Decomposition For Training Free Diffusion Editing. CoRR Tharun Anand, Mohammad Hassan Vali, Arno Solin
2025	J	`jnl`	Smol-GS: Compact Representations for Abstract 3D Gaussian Splatting. CoRR Haishan Wang, Mohammad Hassan Vali, Arno Solin
2025	J	`jnl`	Softly Constrained Denoisers for Diffusion Models. CoRR Victor M. Yeom-Song, Severi Rissanen, Arno Solin, Samuel Kaski, Mingfei Sun
2025	A*	`conf`	Streamlining Prediction in Bayesian Deep Learning. ICLR Rui Li, Marcus Klasson, Arno Solin, Martin Trapp
2025	J	`jnl`	Think Global, Act Local: Bayesian Causal Discovery with Language Models in Sequential Data. CoRR Prakhar Verma, David Arbour, Sunav Choudhary, Harshita Chopra, Arno Solin, Atanu R. Sinha
2024	J	`jnl`	Alignment is Key for Applying Diffusion Models to Retrosynthesis. CoRR Najwa Laabid, Severi Rissanen, Markus Heinonen, Arno Solin, Vikas Garg
2024	J	`jnl`	DeSplat: Decomposed Gaussian Splatting for Distractor-Free Rendering. CoRR Yihao Wang, Marcus Klasson, Matias Turkulainen, Shuzhe Wang, Juho Kannala, Arno Solin
2024	J	`jnl`	Differentially Private Continual Learning using Pre-Trained Models. CoRR Marlon Tobaben, Marcus Klasson, Rui Li, Arno Solin, Antti Honkela
2024	J	`jnl`	Exploiting Hankel-Toeplitz Structures for Fast Computation of Kernel Precision Matrices. CoRR Frida Viset, Anton Kullberg, Frederiek Wesel, Arno Solin
2024	J	`jnl`	Exploiting Hankel-Toeplitz Structures for Fast Computation of Kernel Precision Matrices. Trans. Mach. Learn. Res. Frida Marie Viset, Anton Kullberg, Frederiek Wesel, Arno Solin
2024	A	`conf`	Fixing Overconfidence in Dynamic Neural Networks. WACV Lassi Meronen, Martin Trapp, Andrea Pilzer, Le Yang, Arno Solin
2024	J	`jnl`	Flatness Improves Backbone Generalisation in Few-shot Classification. CoRR Rui Li, Martin Trapp, Marcus Klasson, Arno Solin
2024	J	`jnl`	Free Hunch: Denoiser Covariance Estimation for Diffusion Models Without Extra Costs. CoRR Severi Rissanen, Markus Heinonen, Arno Solin
2024	A*	`conf`	Function-space Parameterization of Neural Networks for Sequential Learning. ICLR Aidan Scannell, Riccardo Mereu, Paul Edmund Chang, Ella Tamir, Joni Pajarinen, Arno Solin
2024	J	`jnl`	Function-space Parameterization of Neural Networks for Sequential Learning. CoRR Aidan Scannell, Riccardo Mereu, Paul E. Chang, Ella Tamir, Joni Pajarinen, Arno Solin
2024	—	`conf`	Gaussian Splatting on the Move: Blur and Rolling Shutter Compensation for Natural Camera Motion. ECCV (71) Otto Seiskari, Jerry Ylilammi, Valtteri Kaatrasalo, Pekka Rantalankila, Matias Turkulainen, Juho Kannala, Esa Rahtu, Arno Solin
2024	J	`jnl`	Gaussian Splatting on the Move: Blur and Rolling Shutter Compensation for Natural Camera Motion. CoRR Otto Seiskari, Jerry Ylilammi, Valtteri Kaatrasalo, Pekka Rantalankila, Matias Turkulainen, Juho Kannala, Esa Rahtu, Arno Solin
2024	J	`jnl`	Improving Discrete Diffusion Models via Structured Preferential Generation. CoRR Severi Rissanen, Markus Heinonen, Arno Solin
2024	C	`conf`	Learning to Approximate Particle Smoothing Trajectories via Diffusion Generative Models. FUSION Ella Tamir, Arno Solin
2024	J	`jnl`	Learning to Approximate Particle Smoothing Trajectories via Diffusion Generative Models. CoRR Ella Tamir, Arno Solin
2024	—	`conf`	Online One-Dimensional Magnetic Field SLAM with Loop-Closure Detection. MFI Manon Kok, Arno Solin
2024	J	`jnl`	Online One-Dimensional Magnetic Field SLAM with Loop-Closure Detection. CoRR Manon Kok, Arno Solin
2024	A*	`conf`	Physics-Informed Variational State-Space Gaussian Processes. NeurIPS Oliver Hamelijnck, Arno Solin, Theodoros Damoulas
2024	J	`jnl`	Physics-Informed Variational State-Space Gaussian Processes. CoRR Oliver Hamelijnck, Arno Solin, Theodoros Damoulas
2024	J	`jnl`	Plan⨉RAG: Planning-guided Retrieval Augmented Generation. CoRR Prakhar Verma, Sukruta Prakash Midigeshi, Gaurav Sinha, Arno Solin, Nagarajan Natarajan, Amit Sharma
2024	J	`jnl`	Post-hoc Probabilistic Vision-Language Models. CoRR Anton Baumann, Rui Li, Marcus Klasson, Santeri Mentu, Shyamgopal Karthik, Zeynep Akata, Arno Solin, Martin Trapp
2024	—	`conf`	Sources of Uncertainty in 3D Scene Reconstruction. ECCV Workshops (17) Marcus Klasson, Riccardo Mereu, Juho Kannala, Arno Solin
2024	J	`jnl`	Sources of Uncertainty in 3D Scene Reconstruction. CoRR Marcus Klasson, Riccardo Mereu, Juho Kannala, Arno Solin
2024	J	`jnl`	Streamlining Prediction in Bayesian Deep Learning. CoRR Rui Li, Marcus Klasson, Arno Solin, Martin Trapp
2024	A*	`conf`	Subtractive Mixture Models via Squaring: Representation and Learning. ICLR Lorenzo Loconte, Aleksanteri M. Sladek, Stefan Mengel, Martin Trapp, Arno Solin, Nicolas Gillis, Antonio Vergari
2024	A	`conf`	Variational Gaussian Process Diffusion Processes. AISTATS Prakhar Verma, Vincent Adam, Arno Solin
2024	J	`jnl`	iQRL - Implicitly Quantized Representations for Sample-efficient Reinforcement Learning. CoRR Aidan Scannell, Kalle Kujanpää, Yi Zhao, Mohammadreza Nakhaei, Arno Solin, Joni Pajarinen
2023	J	`jnl`	Bayes-Newton Methods for Approximate Bayesian Inference with PSD Guarantees. J. Mach. Learn. Res. William J. Wilkinson, Simo Särkkä, Arno Solin
2023	A	`conf`	Expansion of Visual Hints for Improved Generalization in Stereo Matching. WACV Andrea Pilzer, Yuxin Hou, Niki Andreas Lopi, Arno Solin, Juho Kannala
2023	J	`jnl`	Fixing Overconfidence in Dynamic Neural Networks. CoRR Lassi Meronen, Martin Trapp, Andrea Pilzer, Le Yang, Arno Solin
2023	A*	`conf`	Generative Modelling with Inverse Heat Dissipation. ICLR Severi Rissanen, Markus Heinonen, Arno Solin
2023	A*	`conf`	Improving Hyperparameter Learning under Approximate Inference in Gaussian Process Models. ICML Rui Li, S. T. John, Arno Solin
2023	J	`jnl`	Improving Hyperparameter Learning under Approximate Inference in Gaussian Process Models. CoRR Rui Li, S. T. John, Arno Solin
2023	A*	`conf`	Memory-Based Dual Gaussian Processes for Sequential Learning. ICML Paul Edmund Chang, Prakhar Verma, S. T. John, Arno Solin, Mohammad Emtiyaz Khan
2023	J	`jnl`	Memory-Based Dual Gaussian Processes for Sequential Learning. CoRR Paul E. Chang, Prakhar Verma, S. T. John, Arno Solin, Mohammad Emtiyaz Khan
2023	A	`conf`	MixupE: Understanding and improving Mixup from directional derivative perspective. UAI Yingtian Zou, Vikas Verma, Sarthak Mittal, Wai Hoh Tang, Hieu Pham, Juho Kannala, Yoshua Bengio, Arno Solin, Kenji Kawaguchi
2023	J	`jnl`	Practical Hilbert space approximate Bayesian Gaussian processes for probabilistic programming. Stat. Comput. Gabriel Riutort-Mayol, Paul-Christian Bürkner, Michael Riis Andersen, Arno Solin, Aki Vehtari
2023	J	`jnl`	Rao-Blackwellized Particle Smoothing for Simultaneous Localization and Mapping. CoRR Manon Kok, Arno Solin, Thomas B. Schön
2023	J	`jnl`	Sparse Function-space Representation of Neural Networks. CoRR Aidan Scannell, Riccardo Mereu, Paul E. Chang, Ella Tamir, Joni Pajarinen, Arno Solin
2023	J	`jnl`	Subtractive Mixture Models via Squaring: Representation and Learning. CoRR Lorenzo Loconte, Aleksanteri M. Sladek, Stefan Mengel, Martin Trapp, Arno Solin, Nicolas Gillis, Antonio Vergari
2023	—	`conf`	The Robust Semantic Segmentation UNCV2023 Challenge Results. ICCV (Workshops) 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
2023	J	`jnl`	The Robust Semantic Segmentation UNCV2023 Challenge Results. CoRR 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
2023	J	`jnl`	Transport with Support: Data-Conditional Diffusion Bridges. CoRR Ella Tamir, Martin Trapp, Arno Solin
2023	J	`jnl`	Transport with Support: Data-Conditional Diffusion Bridges. Trans. Mach. Learn. Res. Ella Tamir, Martin Trapp, Arno Solin
2023	J	`jnl`	Variational Gaussian Process Diffusion Processes. CoRR Prakhar Verma, Vincent Adam, Arno Solin
2022	C	`conf`	A Look at Improving Robustness in Visual- inertial SLAM by Moment Matching. FUSION Arno Solin, Rui Li, Andrea Pilzer
2022	J	`jnl`	A Look at Improving Robustness in Visual-inertial SLAM by Moment Matching. CoRR Arno Solin, Rui Li, Andrea Pilzer
2022	J	`jnl`	Expansion of Visual Hints for Improved Generalization in Stereo Matching. CoRR Andrea Pilzer, Yuxin Hou, Niki Andreas Lopi, Arno Solin, Juho Kannala
2022	J	`jnl`	Fantasizing with Dual GPs in Bayesian Optimization and Active Learning. CoRR Paul E. Chang, Prakhar Verma, S. T. John, Victor Picheny, Henry B. Moss, Arno Solin
2022	J	`jnl`	Generative Modelling With Inverse Heat Dissipation. CoRR Severi Rissanen, Markus Heinonen, Arno Solin
2022	A	`conf`	HybVIO: Pushing the Limits of Real-time Visual-inertial Odometry. WACV Otto Seiskari, Pekka Rantalankila, Juho Kannala, Jerry Ylilammi, Esa Rahtu, Arno Solin
2022	J	`jnl`	Interpolation consistency training for semi-supervised learning. Neural Networks Vikas Verma, Kenji Kawaguchi, Alex Lamb, Juho Kannala, Arno Solin, Yoshua Bengio, David Lopez-Paz
2022	J	`jnl`	MixupE: Understanding and Improving Mixup from Directional Derivative Perspective. CoRR Vikas Verma, Sarthak Mittal, Wai Hoh Tang, Hieu Pham, Juho Kannala, Yoshua Bengio, Arno Solin, Kenji Kawaguchi
2022	A	`conf`	Non-separable Spatio-temporal Graph Kernels via SPDEs. AISTATS Alexander Nikitin, S. T. John, Arno Solin, Samuel Kaski
2022	J	`jnl`	Representational Multiplicity Should Be Exposed, Not Eliminated. CoRR Ari Heljakka, Martin Trapp, Juho Kannala, Arno Solin
2022	J	`jnl`	Towards Improved Learning in Gaussian Processes: The Best of Two Worlds. CoRR Rui Li, S. T. John, Arno Solin
2022	—	`conf`	Uncertainty-Guided Source-Free Domain Adaptation. ECCV (25) Subhankar Roy, Martin Trapp, Andrea Pilzer, Juho Kannala, Nicu Sebe, Elisa Ricci, Arno Solin
2022	J	`jnl`	Uncertainty-guided Source-free Domain Adaptation. CoRR Subhankar Roy, Martin Trapp, Andrea Pilzer, Juho Kannala, Nicu Sebe, Elisa Ricci, Arno Solin
2021	J	`jnl`	Bayes-Newton Methods for Approximate Bayesian Inference with PSD Guarantees. CoRR William J. Wilkinson, Simo Särkkä, Arno Solin
2021	J	`jnl`	Combining Pseudo-Point and State Space Approximations for Sum-Separable Gaussian Processes. CoRR Will Tebbutt, Arno Solin, Richard E. Turner
2021	A	`conf`	Combining pseudo-point and state space approximations for sum-separable Gaussian Processes. UAI Will Tebbutt, Arno Solin, Richard E. Turner
2021	A*	`conf`	Dual Parameterization of Sparse Variational Gaussian Processes. NeurIPS Vincent Adam, Paul E. Chang, Mohammad Emtiyaz Khan, Arno Solin
2021	J	`jnl`	Dual Parameterization of Sparse Variational Gaussian Processes. CoRR Vincent Adam, Paul E. Chang, Mohammad Emtiyaz Khan, Arno Solin
2021	A*	`conf`	Gaussian Process Priors for View-Aware Inference. AAAI Yuxin Hou, Ari Heljakka, Arno Solin
2021	J	`jnl`	HybVIO: Pushing the Limits of Real-time Visual-inertial Odometry. CoRR Otto Seiskari, Pekka Rantalankila, Juho Kannala, Jerry Ylilammi, Esa Rahtu, Arno Solin
2021	J	`jnl`	Non-separable Spatio-temporal Graph Kernels via SPDEs. CoRR Alexander Nikitin, S. T. John, Arno Solin, Samuel Kaski
2021	A	`conf`	Novel View Synthesis via Depth-guided Skip Connections. WACV Yuxin Hou, Arno Solin, Juho Kannala
2021	J	`jnl`	Novel View Synthesis via Depth-guided Skip Connections. CoRR Yuxin Hou, Arno Solin, Juho Kannala
2021	A*	`conf`	Periodic Activation Functions Induce Stationarity. NeurIPS Lassi Meronen, Martin Trapp, Arno Solin
2021	J	`jnl`	Periodic Activation Functions Induce Stationarity. CoRR Lassi Meronen, Martin Trapp, Arno Solin
2021	A*	`conf`	Scalable Inference in SDEs by Direct Matching of the Fokker-Planck-Kolmogorov Equation. NeurIPS Arno Solin, Ella Tamir, Prakhar Verma
2021	J	`jnl`	Scalable Inference in SDEs by Direct Matching of the Fokker-Planck-Kolmogorov Equation. CoRR Arno Solin, Ella Tamir, Prakhar Verma
2021	A	`conf`	Sparse Algorithms for Markovian Gaussian Processes. AISTATS William J. Wilkinson, Arno Solin, Vincent Adam
2021	J	`jnl`	Sparse Algorithms for Markovian Gaussian Processes. CoRR William J. Wilkinson, Arno Solin, Vincent Adam
2021	A*	`conf`	Spatio-Temporal Variational Gaussian Processes. NeurIPS Oliver Hamelijnck, William J. Wilkinson, Niki Andreas Lopi, Arno Solin, Theodoros Damoulas
2021	J	`jnl`	Spatio-Temporal Variational Gaussian Processes. CoRR Oliver Hamelijnck, William J. Wilkinson, Niki Andreas Lopi, Arno Solin, Theodoros Damoulas
2020	A*	`conf`	Deep Automodulators. NeurIPS Ari Heljakka, Yuxin Hou, Juho Kannala, Arno Solin
2020	J	`jnl`	Deep Residual Mixture Models. CoRR Perttu Hämäläinen, Arno Solin
2020	—	`conf`	Fast Variational Learning in State-Space Gaussian Process Models. MLSP Paul E. Chang, William J. Wilkinson, Mohammad Emtiyaz Khan, Arno Solin
2020	J	`jnl`	Fast Variational Learning in State-Space Gaussian Process Models. CoRR Paul E. Chang, William J. Wilkinson, Mohammad Emtiyaz Khan, Arno Solin
2020	J	`jnl`	Hilbert space methods for reduced-rank Gaussian process regression. Stat. Comput. Arno Solin, Simo Särkkä
2020	C	`conf`	Movement Tracking by Optical Flow Assisted Inertial Navigation. FUSION Lassi Meronen, William J. Wilkinson, Arno Solin
2020	J	`jnl`	Movement Tracking by Optical Flow Assisted Inertial Navigation. CoRR Lassi Meronen, William J. Wilkinson, Arno Solin
2020	B	`conf`	Movement-induced Priors for Deep Stereo. ICPR Yuxin Hou, Muhammad Kamran Janjua, Juho Kannala, Arno Solin
2020	J	`jnl`	Movement-induced Priors for Deep Stereo. CoRR Yuxin Hou, Muhammad Kamran Janjua, Juho Kannala, Arno Solin
2020	J	`jnl`	RealAnt: An Open-Source Low-Cost Quadruped for Research in Real-World Reinforcement Learning. CoRR Rinu Boney, Jussi Sainio, Mikko Kaivola, Arno Solin, Juho Kannala
2020	A*	`conf`	Scalable Exact Inference in Multi-Output Gaussian Processes. ICML Wessel P. Bruinsma, Eric Perim, William Tebbutt, J. Scott Hosking, Arno Solin, Richard E. Turner
2020	A*	`conf`	State Space Expectation Propagation: Efficient Inference Schemes for Temporal Gaussian Processes. ICML William J. Wilkinson, Paul E. Chang, Michael Riis Andersen, Arno Solin
2020	J	`jnl`	State Space Expectation Propagation: Efficient Inference Schemes for Temporal Gaussian Processes. CoRR William J. Wilkinson, Paul E. Chang, Michael Riis Andersen, Arno Solin
2020	A*	`conf`	Stationary Activations for Uncertainty Calibration in Deep Learning. NeurIPS Lassi Meronen, Christabella Irwanto, Arno Solin
2020	J	`jnl`	Stationary Activations for Uncertainty Calibration in Deep Learning. CoRR Lassi Meronen, Christabella Irwanto, Arno Solin
2020	A	`conf`	Towards Photographic Image Manipulation with Balanced Growing of Generative Autoencoders. WACV Ari Heljakka, Arno Solin, Juho Kannala
2019	J	`jnl`	Deep Automodulators. CoRR Ari Heljakka, Yuxin Hou, Juho Kannala, Arno Solin
2019	A*	`conf`	End-to-End Probabilistic Inference for Nonstationary Audio Analysis. ICML William J. Wilkinson, Michael Riis Andersen, Joshua D. Reiss, Dan Stowell, Arno Solin
2019	J	`jnl`	End-to-End Probabilistic Inference for Nonstationary Audio Analysis. CoRR William J. Wilkinson, Michael Riis Andersen, Joshua D. Reiss, Dan Stowell, Arno Solin
2019	J	`jnl`	Gaussian Process Priors for View-Aware Inference. CoRR Yuxin Hou, Ari Heljakka, Arno Solin
2019	C	`conf`	Iterative Path Reconstruction for Large-Scale Inertial Navigation on Smartphones. FUSION Santiago Cortés Reina, Yuxin Hou, Juho Kannala, Arno Solin
2019	J	`jnl`	Iterative Path Reconstruction for Large-Scale Inertial Navigation on Smartphones. CoRR Santiago Cortés Reina, Yuxin Hou, Juho Kannala, Arno Solin
2019	A	`conf`	Know Your Boundaries: Constraining Gaussian Processes by Variational Harmonic Features. AISTATS Arno Solin, Manon Kok
2019	J	`jnl`	Know Your Boundaries: Constraining Gaussian Processes by Variational Harmonic Features. CoRR Arno Solin, Manon Kok
2019	A*	`conf`	Multi-View Stereo by Temporal Nonparametric Fusion. ICCV Yuxin Hou, Juho Kannala, Arno Solin
2019	J	`jnl`	Multi-View Stereo by Temporal Nonparametric Fusion. CoRR Yuxin Hou, Juho Kannala, Arno Solin
2019	J	`jnl`	Scalable Exact Inference in Multi-Output Gaussian Processes. CoRR Wessel P. Bruinsma, Eric Perim, William Tebbutt, J. Scott Hosking, Arno Solin, Richard E. Turner
2019	J	`jnl`	Towards Photographic Image Manipulation with Balanced Growing of Generative Autoencoders. CoRR Ari Heljakka, Arno Solin, Juho Kannala
2019	Misc	`conf`	Unifying Probabilistic Models for Time-frequency Analysis. ICASSP William J. Wilkinson, Michael Riis Andersen, Joshua D. Reiss, Dan Stowell, Arno Solin
2019	J	`jnl`	Unstructured Multi-View Depth Estimation Using Mask-Based Multiplane Representation. CoRR Yuxin Hou, Arno Solin, Juho Kannala
2019	—	`conf`	Unstructured Multi-view Depth Estimation Using Mask-Based Multiplane Representation. SCIA Yuxin Hou, Arno Solin, Juho Kannala
2018	—	`conf`	ADVIO: An Authentic Dataset for Visual-Inertial Odometry. ECCV (10) Santiago Cortés Reina, Arno Solin, Esa Rahtu, Juho Kannala
2018	J	`jnl`	ADVIO: An authentic dataset for visual-inertial odometry. CoRR Santiago Cortés Reina, Arno Solin, Esa Rahtu, Juho Kannala
2018	A*	`conf`	Computationally Inferred Genealogical Networks Uncover Long-Term Trends in Assortative Mating. WWW Eric Malmi, Aristides Gionis, Arno Solin
2018	J	`jnl`	Computationally Inferred Genealogical Networks Uncover Long-Term Trends in Assortative Mating. CoRR Eric Malmi, Aristides Gionis, Arno Solin
2018	J	`jnl`	Deep Learning Based Speed Estimation for Constraining Strapdown Inertial Navigation on Smartphones. CoRR Santiago Cortés Reina, Arno Solin, Juho Kannala
2018	—	`conf`	Deep Learning based Speed estimation for Constraining Strapdown inertial Navigation on Smartphones. MLSP Santiago Cortés Reina, Arno Solin, Juho Kannala
2018	C	`conf`	Inertial Odometry on Handheld Smartphones. FUSION Arno Solin, Santiago Cortés Reina, Esa Rahtu, Juho Kannala
2018	A*	`conf`	Infinite-Horizon Gaussian Processes. NeurIPS Arno Solin, James Hensman, Richard E. Turner
2018	J	`jnl`	Infinite-Horizon Gaussian Processes. CoRR Arno Solin, James Hensman, Richard E. Turner
2018	J	`jnl`	Modeling and Interpolation of the Ambient Magnetic Field by Gaussian Processes. IEEE Trans. Robotics Arno Solin, Manon Kok, Niklas Wahlstrom, Thomas B. Schön, Simo Särkkä
2018	A	`conf`	PIVO: Probabilistic Inertial-Visual Odometry for Occlusion-Robust Navigation. WACV Arno Solin, Santiago Cortés Reina, Esa Rahtu, Juho Kannala
2018	—	`conf`	Pioneer Networks: Progressively Growing Generative Autoencoder. ACCV (1) Ari Heljakka, Arno Solin, Juho Kannala
2018	J	`jnl`	Pioneer Networks: Progressively Growing Generative Autoencoder. CoRR Ari Heljakka, Arno Solin, Juho Kannala
2018	B	`conf`	Recursive Chaining of Reversible Image-to-Image Translators for Face Aging. ACIVS Ari Heljakka, Arno Solin, Juho Kannala
2018	J	`jnl`	Recursive Chaining of Reversible Image-to-image Translators For Face Aging. CoRR Ari Heljakka, Arno Solin, Juho Kannala
2018	C	`conf`	Robust Gyroscope-Aided Camera Self-Calibration. FUSION Santiago Cortés Reina, Arno Solin, Juho Kannala
2018	J	`jnl`	Robust Gyroscope-Aided Camera Self-Calibration. CoRR Santiago Cortés Reina, Arno Solin, Juho Kannala
2018	C	`conf`	Scalable Magnetic Field SLAM in 3D Using Gaussian Process Maps. FUSION Manon Kok, Arno Solin
2018	J	`jnl`	Scalable Magnetic Field SLAM in 3D Using Gaussian Process Maps. CoRR Manon Kok, Arno Solin
2018	A*	`conf`	State Space Gaussian Processes with Non-Gaussian Likelihood. ICML Hannes Nickisch, Arno Solin, Alexander Grigorevskiy
2018	J	`jnl`	Unifying Probabilistic Models for Time-Frequency Analysis. CoRR William J. Wilkinson, Michael Riis Andersen, Joshua D. Reiss, Dan Stowell, Arno Solin
2017	J	`jnl`	Inertial Odometry on Handheld Smartphones. CoRR Arno Solin, Santiago Cortés Reina, Esa Rahtu, Juho Kannala
2017	J	`jnl`	PIVO: Probabilistic Inertial-Visual Odometry for Occlusion-Robust Navigation. CoRR Arno Solin, Santiago Cortés Reina, Esa Rahtu, Juho Kannala
2017	J	`jnl`	Variational Fourier Features for Gaussian Processes. J. Mach. Learn. Res. James Hensman, Nicolas Durrande, Arno Solin
2016	A	`conf`	Computationally Efficient Bayesian Learning of Gaussian Process State Space Models. AISTATS Andreas Svensson, Arno Solin, Simo Särkkä, Thomas B. Schön
2015	J	`jnl`	Modeling and interpolation of the ambient magnetic field by Gaussian processes. CoRR Arno Solin, Manon Kok, Niklas Wahlström, Thomas B. Schön, Simo Särkkä
2015	J	`jnl`	Nonlinear State Space Model Identification Using a Regularized Basis Function Expansion. CoRR Andreas Svensson, Thomas B. Schön, Arno Solin, Simo Särkkä
2015	—	`conf`	Nonlinear state space model identification using a regularized basis function expansion. CAMSAP Andreas Svensson, Thomas B. Schön, Arno Solin, Simo Särkkä
2015	A	`conf`	State Space Methods for Efficient Inference in Student-t Process Regression. AISTATS Arno Solin, Simo Särkkä
2015	—	`conf`	The Blind Leading the Blind: Network-Based Location Estimation Under Uncertainty. ECML/PKDD (2) Eric Malmi, Arno Solin, Aristides Gionis
2014	C	`conf`	Expectation maximization based parameter estimation by sigma-point and particle smoothing. FUSION Juho Kokkala, Arno Solin, Simo Särkkä
2014	A	`conf`	Explicit Link Between Periodic Covariance Functions and State Space Models. AISTATS Arno Solin, Simo Särkkä
2014	—	`conf`	Gaussian quadratures for state space approximation of scale mixtures of squared exponential covariance functions. MLSP Arno Solin, Simo Särkkä
2014	—	`conf`	The 10th annual MLSP competition: First place. MLSP Arno Solin, Simo Särkkä
2013	—	`conf`	Continuous-Space Gaussian Process Regression and Generalized Wiener Filtering with Application to Learning Curves. SCIA Simo Särkkä, Arno Solin
2013	J	`jnl`	Spatiotemporal Learning via Infinite-Dimensional Bayesian Filtering and Smoothing: A Look at Gaussian Process Regression Through Kalman Filtering. IEEE Signal Process. Mag. Simo Särkkä, Arno Solin, Jouni Hartikainen
2012	J	`jnl`	Dynamic retrospective filtering of physiological noise in BOLD fMRI: DRIFTER. NeuroImage Simo Särkkä, Arno Solin, Aapo Nummenmaa, Aki Vehtari, Toni Auranen, Simo Vanni, Fa-Hsuan Lin