Nilam Tathawadekar
2018
A researcher in the Science corpus: 1 paper; trusts 2 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Whom Nilam Tathawadekar trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
Papers from Nilam Tathawadekar's perspective
Ordered by how strongly the researchers Nilam Tathawadekar trusts endorse each paper. Same corpus, a different order for every researcher.
- Fast and Accurate Deep Network Learning by Exponential Linear Units (ELUs)
- CNN Features Off-the-Shelf: An Astounding Baseline for Recognition
- Deep Learning
- Mixture Density Networks
- C4.5: Programs for Machine Learning
- Convolutional LSTM Network: A Machine Learning Approach for Precipitation Nowcasting
- Forecasting with Exponential Smoothing
- Top Downloads in IEEE Xplore [Reader's Choice]
- Deep Neural Networks for YouTube Recommendations
- Ensemble deep learning for regression and time series forecasting
Their papers
- ARMDN: Associative and Recurrent Mixture Density Networks for eRetail Demand Forecasting (2018) — 33 citations