Arno Solin
Aalto-yliopisto
H-index: 30
Europe-Finland
Top articles of Arno Solin
Title | Journal | Author(s) | Publication Date |
|---|---|---|---|
Variational Gaussian Process Diffusion Processes | Prakhar Verma Vincent Adam Arno Solin | 2024/4/18 | |
Flatness Improves Backbone Generalisation in Few-shot Classification | arXiv preprint arXiv:2404.07696 | Rui Li Martin Trapp Marcus Klasson Arno Solin | 2024/4/11 |
Fixing overconfidence in dynamic neural networks | Lassi Meronen Martin Trapp Andrea Pilzer Le Yang Arno Solin | 2024 | |
The Robust Semantic Segmentation UNCV2023 Challenge Results | Yu Xuanlong Yi Zuo Zitao Wang Xiaowen Zhang Jiaxuan Zhao | 2023 | |
MixupE: Understanding and improving mixup from directional derivative perspective | Yingtian Zou Vikas Verma Sarthak Mittal Wai Hoh Tang Hieu Pham | 2023/7/2 | |
Subtractive Mixture Models via Squaring: Representation and Learning | arXiv preprint arXiv:2310.00724 | Lorenzo Loconte Aleksanteri M Sladek Stefan Mengel Martin Trapp Arno Solin | 2023/10/1 |
Expansion of Visual Hints for Improved Generalization in Stereo Matching | Andrea Pilzer Yuxin Hou Niki Loppi Arno Solin Juho Kannala | 2023 | |
Sparse Function-space Representation of Neural Networks | arXiv preprint arXiv:2309.02195 | Aidan Scannell Riccardo Mereu Paul Chang Ella Tamir Joni Pajarinen | 2023/9/5 |
Rao-Blackwellized Particle Smoothing for Simultaneous Localization and Mapping | Data-Centric Engineering | Manon Kok Arno Solin Thomas B Schön | 2024 |
Generative Modelling with Inverse Heat Dissipation | arXiv preprint arXiv:2206.13397 | Severi Rissanen Markus Heinonen Arno Solin | 2022/6/21 |
PriorCVAE: scalable MCMC parameter inference with Bayesian deep generative modelling | arXiv preprint arXiv:2304.04307 | Elizaveta Semenova Prakhar Verma Max Cairney-Leeming Arno Solin Samir Bhatt | 2023/4/9 |
Encoding Negative Dependencies in Probabilistic Circuits | Aleksanteri Mikulus Sladek Martin Trapp Arno Solin | 2023/7/13 | |
Data-Conditional Diffusion Bridges | Ella Tamir Martin Trapp Arno Solin | 2023/12/28 | |
Practical Hilbert space approximate Bayesian Gaussian processes for probabilistic programming | Statistics and Computing | Gabriel Riutort-Mayol Paul-Christian Bürkner Michael R Andersen Arno Solin Aki Vehtari | 2023/2 |
Bayes–Newton Methods for Approximate Bayesian Inference with PSD Guarantees | Journal of Machine Learning Research | William J Wilkinson Simo Särkkä Arno Solin | 2023 |
Improving hyperparameter learning under approximate inference in Gaussian process models | Rui Li ST John Arno Solin | 2023/7/3 | |
Molecule Generation by Heterophilious Triple Flows | Haishan Wang Arno Solin Vikas Garg | 2023/10/13 | |
Transport with Support: Data-Conditional Diffusion Bridges | Transactions on Machine Learning Research (TMLR) | Ella Tamir Martin Trapp Arno Solin | 2023/12/9 |
Memory-Based Dual Gaussian Processes for Sequential Learning | Paul Edmund Chang Prakhar Verma ST John Arno Solin Mohammad Emtiyaz Khan | 2023/7/3 | |
Function-space Parameterization of Neural Networks for Sequential Learning | arXiv preprint arXiv:2403.10929 | Aidan Scannell Riccardo Mereu Paul Chang Ella Tamir Joni Pajarinen | 2024/3/16 |
Co-Authors
