Picture for Priyabrata Saha

Priyabrata Saha

RADNet: A Deep Neural Network Model for Robust Perception in Moving Autonomous Systems

Apr 30, 2022
Figure 1 for RADNet: A Deep Neural Network Model for Robust Perception in Moving Autonomous Systems
Figure 2 for RADNet: A Deep Neural Network Model for Robust Perception in Moving Autonomous Systems
Figure 3 for RADNet: A Deep Neural Network Model for Robust Perception in Moving Autonomous Systems
Figure 4 for RADNet: A Deep Neural Network Model for Robust Perception in Moving Autonomous Systems
Viaarxiv icon

Unraveled Multilevel Transformation Networks for Predicting Sparsely-Observed Spatiotemporal Dynamics

Mar 16, 2022
Figure 1 for Unraveled Multilevel Transformation Networks for Predicting Sparsely-Observed Spatiotemporal Dynamics
Figure 2 for Unraveled Multilevel Transformation Networks for Predicting Sparsely-Observed Spatiotemporal Dynamics
Figure 3 for Unraveled Multilevel Transformation Networks for Predicting Sparsely-Observed Spatiotemporal Dynamics
Figure 4 for Unraveled Multilevel Transformation Networks for Predicting Sparsely-Observed Spatiotemporal Dynamics
Viaarxiv icon

A Deep Learning-based Collocation Method for Modeling Unknown PDEs from Sparse Observation

Nov 30, 2020
Figure 1 for A Deep Learning-based Collocation Method for Modeling Unknown PDEs from Sparse Observation
Figure 2 for A Deep Learning-based Collocation Method for Modeling Unknown PDEs from Sparse Observation
Figure 3 for A Deep Learning-based Collocation Method for Modeling Unknown PDEs from Sparse Observation
Figure 4 for A Deep Learning-based Collocation Method for Modeling Unknown PDEs from Sparse Observation
Viaarxiv icon

Neural Identification for Control

Add code
Oct 20, 2020
Figure 1 for Neural Identification for Control
Figure 2 for Neural Identification for Control
Figure 3 for Neural Identification for Control
Figure 4 for Neural Identification for Control
Viaarxiv icon

PhICNet: Physics-Incorporated Convolutional Recurrent Neural Networks for Modeling Dynamical Systems

Apr 14, 2020
Figure 1 for PhICNet: Physics-Incorporated Convolutional Recurrent Neural Networks for Modeling Dynamical Systems
Figure 2 for PhICNet: Physics-Incorporated Convolutional Recurrent Neural Networks for Modeling Dynamical Systems
Figure 3 for PhICNet: Physics-Incorporated Convolutional Recurrent Neural Networks for Modeling Dynamical Systems
Figure 4 for PhICNet: Physics-Incorporated Convolutional Recurrent Neural Networks for Modeling Dynamical Systems
Viaarxiv icon

MagNet: Discovering Multi-agent Interaction Dynamics using Neural Network

Add code
Mar 03, 2020
Figure 1 for MagNet: Discovering Multi-agent Interaction Dynamics using Neural Network
Figure 2 for MagNet: Discovering Multi-agent Interaction Dynamics using Neural Network
Figure 3 for MagNet: Discovering Multi-agent Interaction Dynamics using Neural Network
Figure 4 for MagNet: Discovering Multi-agent Interaction Dynamics using Neural Network
Viaarxiv icon

Mixture of Pre-processing Experts Model for Noise Robust Deep Learning on Resource Constrained Platforms

Apr 29, 2019
Figure 1 for Mixture of Pre-processing Experts Model for Noise Robust Deep Learning on Resource Constrained Platforms
Figure 2 for Mixture of Pre-processing Experts Model for Noise Robust Deep Learning on Resource Constrained Platforms
Figure 3 for Mixture of Pre-processing Experts Model for Noise Robust Deep Learning on Resource Constrained Platforms
Figure 4 for Mixture of Pre-processing Experts Model for Noise Robust Deep Learning on Resource Constrained Platforms
Viaarxiv icon