16 Results

Poster	Thu 9:00	Locally Hierarchical Auto-Regressive Modeling for Image Generation Tackgeun You · Saehoon Kim · Chiheon Kim · Doyup Lee · Bohyung Han
Poster	Wed 14:00	Causality Preserving Chaotic Transformation and Classification using Neurochaos Learning Harikrishnan N B · Aditi Kathpalia · Nithin Nagaraj
Workshop		Completing the Model Optimization Process by Correcting Patterns of Failure in Regression Tasks Thomas Bonnier
Workshop		Non-Gaussian Process Regression Yaman Kindap · Simon Godsill
Workshop		Control and Calibration of GlueX Central Drift Chamber Using Gaussian Process Regression Diana McSpadden · Torri Jeske · Naomi Jarvis · David Lawrence · Thomas Britton · nikhil kalra
Affinity Workshop		Mixture of Gaussian Processes with Probabilistic Circuits for Multi-Output Regression Mingye Zhu · Zhongjie Yu · Martin Trapp · Arseny Skryagin · Kristian Kersting
Workshop		Gaussian Process Regression for In-vehicle Disconnect Clutch Transfer Function Development Huanyi Shui · Yijing Zhang · Deepthi Antony · devesh upadhyay · James McCallum · Yuji Fujii · Edward Dai
Workshop	Fri 11:27	Non-Gaussian Process Regression Yaman Kindap
Poster	Tue 9:00	Global Convergence of Federated Learning for Mixed Regression Lili Su · Jiaming Xu · Pengkun Yang
Poster		Sparse Additive Gaussian Process Regression Hengrui Luo · Giovanni Nattino · Matthew Pratola
Workshop		Integrated Fourier Features for Fast Sparse Variational Gaussian Process Regression Talay Cheema
Poster		Byzantine-tolerant federated Gaussian process regression for streaming data Xu Zhang · Zhenyuan Yuan · Minghui Zhu