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PV-RAFT: Point-Voxel Correlation Fields for Scene Flow Estimation of Point Clouds
In this paper, we propose Point-Voxel Recurrent All-Pairs Field Transfor...
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Multi-agent Deep FBSDE Representation For Large Scale Stochastic Differential Games
In this paper, we present a deep learning framework for solving large-sc...
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Safe Optimal Control Using Stochastic Barrier Functions and Deep Forward-Backward SDEs
This paper introduces a new formulation for stochastic optimal control a...
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Adaptive CVaR Optimization for Dynamical Systems with Path Space Stochastic Search
We present a general framework for optimizing the Conditional Value-at-R...
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Non-convex Optimization via Adaptive Stochastic Search for End-to-End Learning and Control
In this work we propose the use of adaptive stochastic search as a build...
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Deep Forward-Backward SDEs for Min-max Control
This paper presents a novel approach to numerically solve stochastic dif...
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Deep 2FBSDEs for Systems with Control Multiplicative Noise
We present a deep recurrent neural network architecture to solve a class...
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Neural Network Architectures for Stochastic Control using the Nonlinear Feynman-Kac Lemma
In this paper we propose a new methodology for decision-making under unc...
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Ensemble Bayesian Decision Making with Redundant Deep Perceptual Control Policies
This work presents a novel ensemble of Bayesian Neural Networks (BNNs) f...
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Immersion on the Edge: A Cooperative Framework for Mobile Immersive Computing
Immersive computing (IC) technologies such as virtual reality and augmen...
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A First Look at Mobile Intelligence: Architecture, Experimentation and Challenges
Artificial intelligence (AI) technology makes mobile devices become inte...
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