Solin, Arno

63 publications

UAI 2025 Approximate Bayesian Inference via Bitstring Representations Aleksanteri Sladek, Martin Trapp, Arno Solin

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

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

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

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

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

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

TMLR 2025 Heterophily-Informed Message Passing Haishan Wang, Arno Solin, Vikas K Garg

ICLRW 2025 Plan$^\ast$RAG: Efficient Test-Time Planning for Retrieval Augmented Generation Prakhar Verma, Sukruta Prakash Midigeshi, Gaurav Sinha, Arno Solin, Nagarajan Natarajan, Amit Sharma

ICML 2025 Progressive Tempering Sampler with Diffusion Severi Rissanen, Ruikang Ouyang, Jiajun He, Wenlin Chen, Markus Heinonen, Arno Solin, José Miguel Hernández-Lobato

ICLR 2025 Streamlining Prediction in Bayesian Deep Learning Rui Li, Marcus Klasson, Arno Solin, Martin Trapp

ICMLW 2024 Aligned Diffusion Models for Retrosynthesis Najwa Laabid, Severi Rissanen, Markus Heinonen, Arno Solin, Vikas Garg

ICMLW 2024 Conditional Flow Matching for Time Series Modelling Ella Tamir, Najwa Laabid, Markus Heinonen, Vikas Garg, Arno Solin

NeurIPSW 2024 Differentially Private Continual Learning Using Pre-Trained Models Marlon Tobaben, Marcus Klasson, Rui Li, Arno Solin, Antti Honkela

TMLR 2024 Exploiting Hankel-Toeplitz Structures for Fast Computation of Kernel Precision Matrices Frida Marie Viset, Anton Kullberg, Frederiek Wesel, Arno Solin

WACV 2024 Fixing Overconfidence in Dynamic Neural Networks Lassi Meronen, Martin Trapp, Andrea Pilzer, Le Yang, Arno Solin

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

ECCV 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

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

NeurIPSW 2024 Posterior Inferred, Now What? Streamlining Prediction in Bayesian Deep Learning Rui Li, Marcus Klasson, Arno Solin, Martin Trapp

NeurIPSW 2024 Probabilistic Active Few-Shot Learning in Vision-Language Models Anton Baumann, Marcus Klasson, Rui Li, Arno Solin, Martin Trapp

ICMLW 2024 Quantized Representations Prevent Dimensional Collapse in Self-Predictive RL Aidan Scannell, Kalle Kujanpää, Yi Zhao, Mohammadreza Nakhaeinezhadfard, Arno Solin, Joni Pajarinen

ECCVW 2024 Sources of Uncertainty in 3D Scene Reconstruction Marcus Klasson, Riccardo Mereu, Juho Kannala, Arno Solin

ICLR 2024 Subtractive Mixture Models via Squaring: Representation and Learning Lorenzo Loconte, Aleksanteri Mikulus Sladek, Stefan Mengel, Martin Trapp, Arno Solin, Nicolas Gillis, Antonio Vergari

AISTATS 2024 Variational Gaussian Process Diffusion Processes Prakhar Verma, Vincent Adam, Arno Solin

JMLR 2023 Bayes-Newton Methods for Approximate Bayesian Inference with PSD Guarantees William J. Wilkinson, Simo Särkkä, Arno Solin

NeurIPSW 2023 Data-Conditional Diffusion Bridges Ella Tamir, Martin Trapp, Arno Solin

WACV 2023 Expansion of Visual Hints for Improved Generalization in Stereo Matching Andrea Pilzer, Yuxin Hou, Niki Loppi, Arno Solin, Juho Kannala

ICLR 2023 Generative Modelling with Inverse Heat Dissipation Severi Rissanen, Markus Heinonen, Arno Solin

ICML 2023 Improving Hyperparameter Learning Under Approximate Inference in Gaussian Process Models Rui Li, S. T. John, Arno Solin

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

UAI 2023 MixupE: Understanding and Improving Mixup from Directional Derivative Perspective Yingtian Zou, Vikas Verma, Sarthak Mittal, Wai Hoh Tang, Hieu Pham, Juho Kannala, Yoshua Bengio, Arno Solin, Kenji Kawaguchi

ICCVW 2023 The Robust Semantic Segmentation UNCV2023 Challenge Results 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

TMLR 2023 Transport with Support: Data-Conditional Diffusion Bridges Ella Tamir, Martin Trapp, Arno Solin

AISTATS 2022 Non-Separable Spatio-Temporal Graph Kernels via SPDEs Alexander V. Nikitin, St John, Arno Solin, Samuel Kaski

WACV 2022 HybVIO: Pushing the Limits of Real-Time Visual-Inertial Odometry Otto Seiskari, Pekka Rantalankila, Juho Kannala, Jerry Ylilammi, Esa Rahtu, Arno Solin

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

AISTATS 2021 Sparse Algorithms for Markovian Gaussian Processes William Wilkinson, Arno Solin, Vincent Adam

UAI 2021 Combining Pseudo-Point and State Space Approximations for Sum-Separable Gaussian Processes Will Tebbutt, Arno Solin, Richard E. Turner

NeurIPS 2021 Dual Parameterization of Sparse Variational Gaussian Processes Vincent Adam, Paul Chang, Mohammad Emtiyaz Khan, Arno Solin

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

WACV 2021 Novel View Synthesis via Depth-Guided Skip Connections Yuxin Hou, Arno Solin, Juho Kannala

NeurIPS 2021 Periodic Activation Functions Induce Stationarity Lassi Meronen, Martin Trapp, Arno Solin

NeurIPS 2021 Scalable Inference in SDEs by Direct Matching of the Fokker–Planck–Kolmogorov Equation Arno Solin, Ella Tamir, Prakhar Verma

NeurIPSW 2021 Sparse Gaussian Processes for Stochastic Differential Equations Prakhar Verma, Vincent Adam, Arno Solin

NeurIPS 2021 Spatio-Temporal Variational Gaussian Processes Oliver Hamelijnck, William Wilkinson, Niki Loppi, Arno Solin, Theodoros Damoulas

NeurIPS 2020 Deep Automodulators Ari Heljakka, Yuxin Hou, Juho Kannala, Arno Solin

ICML 2020 Scalable Exact Inference in Multi-Output Gaussian Processes Wessel Bruinsma, Eric Perim, William Tebbutt, Scott Hosking, Arno Solin, Richard Turner

ICML 2020 State Space Expectation Propagation: Efficient Inference Schemes for Temporal Gaussian Processes William Wilkinson, Paul Chang, Michael Andersen, Arno Solin

NeurIPS 2020 Stationary Activations for Uncertainty Calibration in Deep Learning Lassi Meronen, Christabella Irwanto, Arno Solin

WACV 2020 Towards Photographic Image Manipulation with Balanced Growing of Generative Autoencoders Ari Heljakka, Arno Solin, Juho Kannala

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

AISTATS 2019 Know Your Boundaries: Constraining Gaussian Processes by Variational Harmonic Features Arno Solin, Manon Kok

ECCV 2018 ADVIO: An Authentic Dataset for Visual-Inertial Odometry Santiago Cortes, Arno Solin, Esa Rahtu, Juho Kannala

NeurIPS 2018 Infinite-Horizon Gaussian Processes Arno Solin, James Hensman, Richard E Turner

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

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

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

AISTATS 2015 State Space Methods for Efficient Inference in Student-T Process Regression Arno Solin, Simo Särkkä

ECML-PKDD 2015 The Blind Leading the Blind: Network-Based Location Estimation Under Uncertainty Eric Malmi, Arno Solin, Aristides Gionis

AISTATS 2014 Explicit Link Between Periodic Covariance Functions and State Space Models Arno Solin, Simo Särkkä