Suryabhan Singh Hada

According to our database, Suryabhan Singh Hada authored at least 14 papers between 2019 and 2023.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of five.

2023

Inverse classification with logistic and softmax classifiers: efficient optimization.

Miguel Á. Carreira-Perpiñán, Suryabhan Singh Hada

CoRR, 2023

Very Fast, Approximate Counterfactual Explanations for Decision Forests.

Miguel Á. Carreira-Perpiñán, Suryabhan Singh Hada

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022

Approaches to Interpret Deep Neural Networks

Suryabhan Singh Hada

PhD thesis, 2022

Sparse Oblique Decision Trees: A Tool to Interpret Natural Language Processing Datasets.

Suryabhan Singh Hada, Miguel Á. Carreira-Perpiñán

Proceedings of the International Joint Conference on Neural Networks, 2022

Interpretable Image Classification Using Sparse Oblique Decision Trees.

Suryabhan Singh Hada, Miguel Á. Carreira-Perpiñán

Proceedings of the IEEE International Conference on Acoustics, 2022

2021

Sparse Oblique Decision Trees: A Tool to Understand and Manipulate Neural Net Features.

Suryabhan Singh Hada, Miguel Á. Carreira-Perpiñán, Arman Zharmagambetov

CoRR, 2021

Style Transfer by Rigid Alignment in Neural Net Feature Space.

Suryabhan Singh Hada, Miguel Á. Carreira-Perpiñán

Proceedings of the IEEE Winter Conference on Applications of Computer Vision, 2021

Exploring Counterfactual Explanations for Classification and Regression Trees.

Suryabhan Singh Hada, Miguel Á. Carreira-Perpiñán

Proceedings of the Machine Learning and Principles and Practice of Knowledge Discovery in Databases, 2021

Non-Greedy Algorithms for Decision Tree Optimization: An Experimental Comparison.

Arman Zharmagambetov, Suryabhan Singh Hada, Magzhan Gabidolla, Miguel Á. Carreira-Perpiñán

Proceedings of the International Joint Conference on Neural Networks, 2021

Understanding And Manipulating Neural Net Features Using Sparse Oblique Classification Trees.

Suryabhan Singh Hada, Miguel Á. Carreira-Perpiñán, Arman Zharmagambetov

Proceedings of the 2021 IEEE International Conference on Image Processing, 2021

Sampling The "Inverse Set" of a Neuron.

Suryabhan Singh Hada, Miguel Á. Carreira-Perpiñán

Proceedings of the 2021 IEEE International Conference on Image Processing, 2021

Counterfactual Explanations for Oblique Decision Trees: Exact, Efficient Algorithms.

Miguel Á. Carreira-Perpiñán, Suryabhan Singh Hada

Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2019

An Experimental Comparison of Old and New Decision Tree Algorithms.

Arman Zharmagambetov, Suryabhan Singh Hada, Miguel Á. Carreira-Perpiñán

CoRR, 2019

Sampling the "Inverse Set" of a Neuron: An Approach to Understanding Neural Nets.

Suryabhan Singh Hada, Miguel Á. Carreira-Perpiñán

CoRR, 2019