Rohan Ghosh | DeepAI

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∙ 04/05/2023

Local Intrinsic Dimensional Entropy

Most entropy measures depend on the spread of the probability distributi...

0 Rohan Ghosh, et al. ∙

∙ 12/09/2022

AP: Selective Activation for De-sparsifying Pruned Neural Networks

The rectified linear unit (ReLU) is a highly successful activation funct...

0 Shiyu Liu, et al. ∙

∙ 12/09/2022

Optimizing Learning Rate Schedules for Iterative Pruning of Deep Neural Networks

The importance of learning rate (LR) schedules on network pruning has be...

0 Shiyu Liu, et al. ∙

∙ 12/09/2022

Towards Better Long-range Time Series Forecasting using Generative Forecasting

Long-range time series forecasting is usually based on one of two existi...

0 Shiyu Liu, et al. ∙

∙ 12/11/2021

Achieving Low Complexity Neural Decoders via Iterative Pruning

The advancement of deep learning has led to the development of neural de...

0 Vikrant Malik, et al. ∙

∙ 08/18/2019

Investigating Convolutional Neural Networks using Spatial Orderness

Convolutional Neural Networks (CNN) have been pivotal to the success of ...

0 Rohan Ghosh, et al. ∙

∙ 06/10/2019

Scale Steerable Filters for Locally Scale-Invariant Convolutional Neural Networks

Augmenting transformation knowledge onto a convolutional neural network'...

0 Rohan Ghosh, et al. ∙

∙ 03/19/2019

Pose-Invariant Object Recognition for Event-Based Vision with Slow-ELM

Neuromorphic image sensors produce activity-driven spiking output at eve...

0 Rohan Ghosh, et al. ∙

∙ 03/17/2019

Spatiotemporal Filtering for Event-Based Action Recognition

In this paper, we address the challenging problem of action recognition,...

0 Rohan Ghosh, et al. ∙

∙ 03/16/2019

Spatiotemporal Feature Learning for Event-Based Vision

Unlike conventional frame-based sensors, event-based visual sensors outp...

36 Rohan Ghosh, et al. ∙

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