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AI Blogs
Incremental Learning in Diagonal Linear Networks Raphaël Berthier; 24(171):1−26, 2023. Abstract This paper discusses the trajectory of the gradient flow in Diagonal Linear Networks (DLNs) when initialized with small values. DLNs are simplified artificial neural networks that use quadratic reparametrization…
[Submitted on 31 Aug 2023] Download a PDF of the paper titled Generate Your Own Scotland: Satellite Image Generation Conditioned on Maps, by Miguel Espinosa and 1 other authors Download PDF Abstract: Despite recent advancements in image generation, diffusion models…
Gaussian Processes with Errors in Variables: Theory and Computation Authors: Shuang Zhou, Debdeep Pati, Tianying Wang, Yun Yang, Raymond J. Carroll; Volume 24, Issue 87, Pages 1-53, 2023. Abstract Covariate measurement error in nonparametric regression is a common issue in…
Graph classification has achieved remarkable results by learning graph-level representations for effective class assignments. However, most existing methods fail to optimize representation learning and classifier training jointly, especially for long-tailed graph data where the head classes have significantly more samples…
Beyond the Golden Ratio for Variational Inequality Algorithms Ahmet Alacaoglu, Axel Böhm, Yura Malitsky; 24(172):1−33, 2023. Abstract This study aims to enhance the understanding of the golden ratio algorithm, which is used to solve monotone variational inequalities (VI) and convex-concave…
The content has been rewritten: arXivLabs is a platform where collaborators can create and share new features for arXiv directly on our website. Both individuals and organizations that collaborate with arXivLabs have embraced and adopted our principles of openness, community,…
Neural Operator: Learning Maps Between Function Spaces With Applications to PDEs Nikola Kovachki, Zongyi Li, Burigede Liu, Kamyar Azizzadenesheli, Kaushik Bhattacharya, Andrew Stuart, Anima Anandkumar; 24(89):1−97, 2023. Abstract The traditional development of neural networks has predominantly focused on acquiring knowledge…
[Submitted on 31 Aug 2023] Download a PDF of the paper titled “Towards Optimal Patch Size in Vision Transformers for Tumor Segmentation” by Ramtin Mojtahedi and 3 other authors: Download PDF Abstract: Detection of tumors in metastatic colorectal cancer (mCRC)…
From Classification Accuracy to Proper Scoring Rules: Elicitability of Probabilistic Top List Predictions Johannes Resin; 24(173):1−21, 2023. Abstract In the field of forecasting, the importance of probabilistic assessments has been widely acknowledged to account for uncertainty. However, when it comes…
arXivLabs is a platform that enables collaborators to create and share innovative features on our website. We have garnered support from both individuals and organizations who align with our principles of transparency, collaboration, quality, and user privacy. At arXiv, we…
