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Estimating the Unique Information of Continuous Variables., , , , , , and . NeurIPS, page 20295-20307. (2021)Deep Networks and the Multiple Manifold Problem., , and . ICLR, OpenReview.net, (2021)Beyond Signal Propagation: Is Feature Diversity Necessary in Deep Neural Network Initialization?, , and . ICML, volume 119 of Proceedings of Machine Learning Research, page 960-969. PMLR, (2020)Marginalizable Density Models., , and . CoRR, (2021)When Can Nonconvex Optimization Problems be Solved with Gradient Descent? A Few Case Studies.. Columbia University, USA, (2020)Efficient Dictionary Learning with Gradient Descent., , and . ICML, volume 97 of Proceedings of Machine Learning Research, page 2252-2259. PMLR, (2019)A Mean Field Theory of Quantized Deep Networks: The Quantization-Depth Trade-Off., , and . NeurIPS, page 7036-7046. (2019)On quantum backpropagation, information reuse, and cheating measurement collapse., , , , , , and . CoRR, (2023)Stochastic Bouncy Particle Sampler., , , and . ICML, volume 70 of Proceedings of Machine Learning Research, page 2741-2750. PMLR, (2017)Deep Networks Provably Classify Data on Curves., , , and . NeurIPS, page 28940-28953. (2021)