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20192025
most citedScale Steerable Filters for Locally Scale-Invariant Convolutional Neural Networks

35 citations · 70 across the 10 of their papers we have counts for

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Showing 2021Show all

2 papers · 1 filter

cs.LG2021

Achieving Low Complexity Neural Decoders via Iterative Pruning

Vikrant Malik, Rohan Ghosh, Mehul Motani

The advancement of deep learning has led to the development of neural decoders for low latency communications. However, neural decoders can be very complex which can lead to increa…

cs.LG2021★ 5 cited

Towards Better Long-range Time Series Forecasting using Generative Adversarial Networks

Shiyu Liu, Rohan Ghosh, Mehul Motani

Long-range time series forecasting is usually based on one of two existing forecasting strategies: Direct Forecasting and Iterative Forecasting, where the former provides low bias,…