Summary of Scalable Learning Of Segment-level Traffic Congestion Functions, by Shushman Choudhury et al.
Scalable Learning of Segment-Level Traffic Congestion Functionsby Shushman Choudhury, Abdul Rahman Kreidieh, Iveel Tsogsuren, Neha…
Scalable Learning of Segment-Level Traffic Congestion Functionsby Shushman Choudhury, Abdul Rahman Kreidieh, Iveel Tsogsuren, Neha…
Characteristic Learning for Provable One Step Generationby Zhao Ding, Chenguang Duan, Yuling Jiao, Ruoxuan Li,…
Machine Learning for Scalable and Optimal Load Shedding Under Power System Contingencyby Yuqi Zhou, Hao…
Navigate Beyond Shortcuts: Debiased Learning through the Lens of Neural Collapseby Yining Wang, Junjie Sun,…
Robust deep learning from weakly dependent databy William Kengne, Modou WadeFirst submitted to arxiv on:…
Biology-inspired joint distribution neurons based on Hierarchical Correlation Reconstruction allowing for multidirectional neural networksby Jarek…
Learning Object Semantic Similarity with Self-Supervisionby Arthur Aubret, Timothy Schaumlöffel, Gemma Roig, Jochen TrieschFirst submitted…
Custom Gradient Estimators are Straight-Through Estimators in Disguiseby Matt Schoenbauer, Daniele Moro, Lukasz Lew, Andrew…
DeepDamageNet: A two-step deep-learning model for multi-disaster building damage segmentation and classification using satellite imageryby…
Regime Learning for Differentiable Particle Filtersby John-Joseph Brady, Yuhui Luo, Wenwu Wang, Victor Elvira, Yunpeng…