数学工作at NeurIPS 2020

作者Johanna Pingel，，，，2020年12月4日

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发帖Shounak Mitra，产品经理 - 深度学习和AI

We are very close to the start of the biggest AI conference of the year! Last year when I left Vancouver after attending NeurIPS 2019, I had marked a few restaurants to try out in 2020. Little did we all know the unprecedented times we all will have to face.

Mathworks在会议上是一名赞助商而感到自豪，今年我们将在虚拟展位，聚会，社交和讲习班上进行大量活动。我正在写这个博客，以分享所有数学在2020年Neurips上所做的事情，并鼓励您加入我们！

虚拟展位

If you have used or are currently using MATLAB or Simulink, or looking for your next job opportunity, come say a ‘hi’ to us at theMathworks虚拟展位。我们将有一个开发人员，招聘经理和产品经理团队，他们会很乐意与您聊天。

在展位上谈话：我们今年在我们的展位上安排了11场演讲。谈判将在各种主题上进行，从部署AI到嵌入式设备，再到UMASS Amherst的研究人员如何使用深度学习来模仿有限元建模背后的物理学。还将在其他有趣的主题上进行展位演讲，例如LiDAR，MATLAB如何与Tensorflow和Pytorch一起工作，AI工作流程，用于雷达，信号，时间序列和增强型学习。有关详细的议程，请参阅完整议程。

	Tuesday – Dec 8	星期三至12月9日	星期四 - 12月10日
2:10-2：30 pm	AI系统设计 -Simulation and Code GenerationBill Chou & Emmanouil, Product Managers	Application of GANs改善多孔介质微观结构和织物的表征蒂姆·安德森，斯坦福	AI for Time-series and Signal ApplicationsGabrielle Bunkheila和Esha Shah产品经理
2：30-2：50 pm	AI系统设计 -Simulation and Code Generation (Continued)	关于贝叶斯汽车方法对物理模拟器的有效性 Peetak Mitra，UMass	使用MATLAB和SIMULINK进行加固学习万博1manbetx Emmanouil，产品经理
7：10-7：30 pm	Lidar Perception：3D点云上的语义分割和对象检测 Avi Nehemiah, Product Manager	AI workflows for Radar and Communications Rick Gentile，产品经理	AI Workflows in the Cloud David Willingham, Product Manager
7：30-7：50 pm	Evolution of Deep Learning with MATLABDavid Willingham, Product Manager	How MATLAB works with TensorFlow and PyTorch产品经理Shounak Mitra	Quantizing Deep Learning Networksfor GPUs and FPGAs with MATLAB产品经理Greg Coppenrath

在展位上雇用：The booth will also have private chats scheduled with our recruiters and hiring managers. To explore a list of opportunities, please go toCareers at MathWorks。

Paper at NeurIPS

今年，我们在神经上有一篇论文：关于贝叶斯汽车方法对物理模拟器的有效性。本文的作者也会做演讲the conference. In this work, a data driven emulator for turbulence closure terms in the context of Large Eddy Simulation (LES) models is trained using Artificial Neural Networks and an autoML frame- work based on Bayesian Optimization, incorporating priors to jointly optimize the hyper-parameters as well as conduct a full neural network architecture search to converge to a global minima, is proposed.

要观看演讲的录制，请单击here。

NeurIPS 2020 Socials

We are organizing three socials at NeurIPS 2020, and two at WiML (Women in Machine Learning) workshop co-located with NeurIPS.

标题	When	Contact	关联
从AI中的黑人妇女的角度来看，AI中的公平和道德规范	Tuesday December 8, 5-7pm EST Wednesday December 9, 8-9am EST (WiML)	Louvere Walker-Hannon	报名
技术毕业后的竞赛	Wednesday December 9, 8-9am (WiML) Wednesday December 9, 5-7pm EST	Anoush Najarian	报名
AI IGNITE中的女性	12月10日，星期四，美国东部标准时间下午3-5点	Anoush Najarian	报名

NeurIPS registration is needed to attend socials. We also plan to also make these available through the波士顿聚会。

神经2020聚会

神经聚会的目标是在全球范围内开放进入社区，并通过地理区域和语言联系参与者。有了这一点，Neurips希望支持全球AI专业知识的增长万博1manbetx，包括在技术领域代表性不足的社区，并负责任地推动创新。

We are excited to have two MathWorkers on the NeurIPS organizing committee: Louvere Walker-Hannon and Anoush Najarian are NeurIPS meetup co-chairs, working with Emtiyaz Khan of the Riken Center for AI in Tokyo.