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Workshop
Sat 14:20 Neural Graph Revealers
Harsh Shrivastava · Urszula Chajewska
Workshop
Sat 14:30 SIM-CNN: Self-Supervised Individualized Multimodal Learning for Stress Prediction on Nurses Using Biosignals
Sunmin Eom · Sunwoo Eom · Peter Washington
Workshop
Sat 14:50 InterSynth: a semi-synthetic framework for benchmarking prescriptive inference from observational data
Dominic Giles · Robert Gray · Chris Foulon · Guilherme Pombo · Tianbo Xu · James K Ruffle · Rolf Jäger · Jorge Cardoso · Sebastien Ourselin · Geraint Rees · Ashwani Jha · Parashkev Nachev
Workshop
Sat 17:40 Interpretable and Intervenable Ultrasonography-based Machine Learning Models for Pediatric Appendicitis
Julia Vogt · Ricards Marcinkevics · Patricia Reis Wolfertstetter · Ugne Klimiene · Kieran Chin-Cheong · Alyssia Paschke · Julia Zerres · Markus Denzinger · David Niederberger · Sven Wellmann · Ece Ozkan · Christian Knorr
Poster
Wed 14:00 Low Complexity Homeomorphic Projection to Ensure Neural-Network Solution Feasibility for Optimization over (Non-)Convex Set
Enming Liang · Minghua Chen · Steven Low
Poster
Thu 13:30 Regression with Sensor Data Containing Incomplete Observations
Takayuki Katsuki · Takayuki Osogami
Poster
Tue 17:00 Neural Latent Aligner: Cross-trial Alignment for Learning Representations of Complex, Naturalistic Neural Data
Cheol Jun Cho · Edward Chang · Gopala Anumanchipalli
Workshop
Ensemble Fractional Imputation for Incomplete Categorical Data with a Graphical Model
Yonghyun Kwon · Jae-kwang Kim
Poster
Thu 16:30 When Sparsity Meets Contrastive Models: Less Graph Data Can Bring Better Class-Balanced Representations
Chunhui Zhang · Chao Huang · Yijun Tian · Qianlong Wen · Zhongyu Ouyang · Youhuan Li · Yanfang Ye · Chuxu Zhang