Technology
NeuralTransmittedRadianceFields
The rendered results are with lowreconstruction fidelity for NeRF [1]and NeRF-W [7]only with6and12training views. For NeRF [1]with18training views, the result shows higher fidelity, but the undesired reflection is also finally rendered (labeled by green box).
Nearly tight sample complexity bounds for learning mixtures of Gaussians via sample compression schemes
Hassan Ashtiani, Shai Ben-David, Nicholas Harvey, Christopher Liaw, Abbas Mehrabian, Yaniv Plan
Formixtures of axis-aligned Gaussians, we show thateO(kd/ε2)samples suffice, matching a knownlowerbound.
Input-Output Equivalence of Unitary and Contractive RNNs
Melikasadat Emami, Mojtaba Sahraee Ardakan, Sundeep Rangan, Alyson K. Fletcher
Neural Information Processing Systems http://nips.cc/
Variational Structured Semantic Inference for Diverse Image Captioning
Fuhai Chen, Rongrong Ji, Jiayi Ji, Xiaoshuai Sun, Baochang Zhang, Xuri Ge, Yongjian Wu, Feiyue Huang, Yan Wang
Neural Information Processing Systems http://nips.cc/
We thank all reviewers for their positive comments on idea novelty, technical quality, paper writing, and promising
Please kindly refer to our response to Q1 of R#2, which will be added in our paper.
A Statistical Recurrent Model on the Manifold of Symmetric Positive Definite Matrices
Rudrasis Chakraborty, Chun-Hao Yang, Xingjian Zhen, Monami Banerjee, Derek Archer, David Vaillancourt, Vikas Singh, Baba Vemuri
In a number of disciplines, the data (e.g., graphs, manifolds) to be analyzed are non-Euclideaninnature.
Cost
We then provide an algorithm to efficiently sketch input data using such embeddings. The sketch size of the embedding used in the algorithm has a linear dependence on the number of sketching dimensions of the input.
