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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
Workshop
On the Equivalence Between Implicit and Explicit Neural Networks: A High-dimensional Viewpoint
Zenan Ling · Zhenyu Liao · Robert Qiu
Workshop
Low Complexity Neural Network-Based In-loop Filtering with Decomposed Split Luma-Chroma Model for Video Compression
Tong Shao · Jay Shingala · Ajay Shyam · Peng Yin · Arjun Arora · Sean McCarthy
Workshop
Learning Stochastic Dynamical Systems as an Implicit Regularization with Graph Neural Network
Jin Guo · Ting Gao · Yufu Lan · Peng Zhang · Sikun Yang · Jinqiao Duan
Poster
Thu 16:30 Implicit Graph Neural Networks: A Monotone Operator Viewpoint
Justin Baker · Qingsong Wang · Cory Hauck · Bao Wang
Poster
Wed 17:00 Neural Network Accelerated Implicit Filtering: Integrating Neural Network Surrogates With Provably Convergent Derivative Free Optimization Methods
Brian Irwin · Eldad Haber · Raviv Gal · Avi Ziv
Workshop
Implicit regularization of multi-task learning and finetuning in overparameterized neural networks
Samuel Lippl · Jack Lindsey
Workshop
Layer-Wise Feedback Alignment is Conserved in Deep Neural Networks
Zach Robertson · Sanmi Koyejo
Workshop
Reinstating Continuous Climate Patterns From Small and Discretized Data
Xihaier Luo · Xiaoning Qian · Nathan Urban · Byung-Jun Yoon
Poster
Wed 17:00 Does a Neural Network Really Encode Symbolic Concepts?
Mingjie Li · Quanshi Zhang
Poster
Wed 17:00 On the Expressive Power of Geometric Graph Neural Networks
Chaitanya Joshi · Cristian Bodnar · Simon Mathis · Taco Cohen · Pietro Lió
Poster
Tue 14:00 Analyzing Convergence in Quantum Neural Networks: Deviations from Neural Tangent Kernels
Xuchen You · Shouvanik Chakrabarti · Boyang Chen · Xiaodi Wu