Shubhendu Trivedi

According to our database1, Shubhendu Trivedi authored at least 17 papers between 2011 and 2020.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of two.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Other 

Links

On csauthors.net:

Bibliography

2020
The Expected Jacobian Outerproduct: Theory and Empirics.
CoRR, 2020

2019
Asymmetric Multiresolution Matrix Factorization.
CoRR, 2019

Deep Learning for Automated Classification and Characterization of Amorphous Materials.
CoRR, 2019

2018
Discriminative Learning of Similarity and Group Equivariant Representations.
CoRR, 2018

Clebsch-Gordan Nets: a Fully Fourier Space Spherical Convolutional Neural Network.
Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018

On the Generalization of Equivariance and Convolution in Neural Networks to the Action of Compact Groups.
Proceedings of the 35th International Conference on Machine Learning, 2018

Covariant Compositional Networks For Learning Graphs.
Proceedings of the 6th International Conference on Learning Representations, 2018

2015
The Utility of Clustering in Prediction Tasks.
CoRR, 2015

2014
A Consistent Estimator of the Expected Gradient Outerproduct.
Proceedings of the Thirtieth Conference on Uncertainty in Artificial Intelligence, 2014

Discriminative Metric Learning by Neighborhood Gerrymandering.
Proceedings of the Advances in Neural Information Processing Systems 27: Annual Conference on Neural Information Processing Systems 2014, 2014

2013
Applying Clustering to the Problem of Predicting Retention within an ITS: Comparing Regularity Clustering with Traditional Methods.
Proceedings of the Twenty-Sixth International Florida Artificial Intelligence Research Society Conference, 2013

2012
A Practical Regularity Partitioning Algorithm and its Applications in Clustering
CoRR, 2012

Clustered Knowledge Tracing.
Proceedings of the Intelligent Tutoring Systems - 11th International Conference, 2012

Co-Clustering by Bipartite Spectral Graph Partitioning for Out-of-Tutor Prediction.
Proceedings of the 5th International Conference on Educational Data Mining, 2012

The real world significance of performance prediction.
Proceedings of the 5th International Conference on Educational Data Mining, 2012

2011
Spectral Clustering in Educational Data Mining.
Proceedings of the 4th International Conference on Educational Data Mining, 2011

Clustering Students to Generate an Ensemble to Improve Standard Test Score Predictions.
Proceedings of the Artificial Intelligence in Education - 15th International Conference, 2011


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