Souradeep Dutta

Artificial Intelligence · 2017–2018

A researcher in the Science corpus: 3 papers; trusts 12 researchers and is trusted by 2 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 26 citations into it; #31,564 of 35,345 by trust here, #18,586 by citations
• Safety, Robustness & Interpretability — 15 citations into it
• Computational Theory and Mathematics — 13 citations into it
• Program Analysis & Verification — 9 citations into it
• Software — 6 citations into it

Whom Souradeep Dutta trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

1. Luca Pulina
2. Xiaowei Huang
3. Armando Tacchella
4. Clark W. Barrett
5. Robert E. Bixby
6. Alexandre Donzé
7. Vincent Tjeng
8. Guy Katz
9. Roberto Sebastiani
10. Christel Baier

Who trusts Souradeep Dutta overall

1. Matt Jordan
2. Wenjie Ruan
3. Shiqi Wang
4. Changliu Liu
5. Jeremy M. Cohen
6. Vincent Tjeng
7. Hadi Salman
8. Moonkyung Ryu
9. Xiaowei Huang
10. Ross Anderson

Papers from Souradeep Dutta's perspective

Ordered by how strongly the researchers Souradeep Dutta trusts endorse each paper. Same corpus, a different order for every researcher.

1. Intriguing properties of neural networks
2. ImageNet classification with deep convolutional neural networks
3. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
5. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
6. Gradient-based learning applied to document recognition
7. Long Short-Term Memory
8. Explaining and Harnessing Adversarial Examples
9. ImageNet Large Scale Visual Recognition Challenge
10. Rectified Linear Units Improve Restricted Boltzmann Machines

Their papers

• Output Range Analysis for Deep Feedforward Neural Networks (2018) — 298 citations
• Learning and Verification of Feedback Control Systems using Feedforward Neural Networks (2018) — 74 citations
• Output Range Analysis for Deep Neural Networks (2017) — 125 citations