Sambit Panda

According to our database, Sambit Panda authored at least 6 papers between 2019 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

Accurate and efficient data-driven psychiatric assessment using machine learning.

Kseniia Konishcheva, Bennett L. Leventhal, Maki Koyama, Sambit Panda, Joshua T. Vogelstein, Michael P. Milham, Ariel B. Lindner, Arno Klein

BMC Medical Informatics Decis. Mak., December, 2026

2023

Learning sources of variability from high-dimensional observational studies.

Eric W. Bridgeford, Jaewon Chung, Brian Gilbert, Sambit Panda, Adam Li, Cencheng Shen, Alexandra Badea, Brian Caffo, Joshua T. Vogelstein

CoRR, 2023

2022

The Chi-Square Test of Distance Correlation.

Cencheng Shen, Sambit Panda, Joshua T. Vogelstein

J. Comput. Graph. Stat., 2022

2021

Streaming Decision Trees and Forests.

Haoyin Xu, Jayanta Dey, Sambit Panda, Joshua T. Vogelstein

CoRR, 2021

When are Deep Networks really better than Random Forests at small sample sizes?

Haoyin Xu, Michael Ainsworth, Yu-Chung Peng, Madi Kusmanov, Sambit Panda, Joshua T. Vogelstein

CoRR, 2021

2019

mgcpy: A Comprehensive High Dimensional Independence Testing Python Package.

Sambit Panda, Satish Palaniappan, Junhao Xiong, Ananya Swaminathan, Sandhya Ramachandran, Eric W. Bridgeford, Cencheng Shen, Joshua T. Vogelstein

CoRR, 2019