Instruct: Given a scientific paper title, retrieve paper titles that are cited by the given paper
Query: On Lipschitz Bounds of General Convolutional Neural Networks
Lipschitz Properties for Deep Convolutional Networks
Generalizing the Convolution Operator in Convolutional Neural Networks
What Do We Understand About Convolutional Networks?
Lipschitz-Margin Training: Scalable Certification of Perturbation Invariance for Deep Neural Networks
Efficient and accurate approximations of nonlinear convolutional networks
Studying Invariances of Trained Convolutional Neural Networks
Convexified Convolutional Neural Networks
Fast Algorithms for Convolutional Neural Networks
Towards Understanding the Invertibility of Convolutional Neural Networks
Stronger generalization bounds for deep nets via a compression approach
Input Convex Neural Networks
Understanding Convolutional Neural Networks with A Mathematical Model
Convex Neural Networks
Piecewise convexity of artificial neural networks
Beating the Perils of Non-Convexity: Guaranteed Training of Neural Networks using Tensor Methods
Exploring the Regularity of Sparse Structure in Convolutional Neural Networks
Nearly-tight VC-dimension bounds for piecewise linear neural networks
Error bounds for approximations with deep ReLU networks
Memory Bounded Deep Convolutional Networks
Convolutional neural networks at constrained time cost
Cloning Physically Unclonable Functions
A Bit of Progress in Language Modeling
Asynchronous Methods for Deep Reinforcement Learning
Physiological and Behavioral Stress and Anxiety in Children with Autism Spectrum Disorders during Routine Oral Care
Social media, social capital, and seniors: The impact of Facebook on bonding and bridging social capital of individuals over 65.