Uthsav Chitra

According to our database, Uthsav Chitra authored at least 15 papers between 2019 and 2025.

Collaborative distances:

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

2025

Anomaly detection in spatial transcriptomics via spatially localized density comparison.

Gary Hu, Julian Gold, Uthsav Chitra, Sunay Joshi, Benjamin J. Raphael

Bioinform., 2025

GASTON-Mix: a unified model of spatial gradients and domains using spatial mixture-of-experts.

Uthsav Chitra, Shu Dan, Fenna M. Krienen, Benjamin J. Raphael

Bioinform., 2025

2024

Algorithms for understanding the spatial and network organization of biological systems

Uthsav Chitra

PhD thesis, 2024

A count-based model for delineating cell-cell interactions in spatial transcriptomics data.

Hirak Sarkar, Uthsav Chitra, Julian Gold, Benjamin J. Raphael

Bioinform., 2024

Mapping the Topography of Spatial Gene Expression with Interpretable Deep Learning.

Uthsav Chitra, Brian J. Arnold, Hirak Sarkar, Cong Ma, Sereno Lopez-Darwin, Kohei Sanno, Benjamin J. Raphael

Proceedings of the Research in Computational Molecular Biology, 2024

2022

NetMix2: A Principled Network Propagation Algorithm for Identifying Altered Subnetworks.

Uthsav Chitra, Tae Yoon Park, Benjamin J. Raphael

J. Comput. Biol., 2022

Belayer: Modeling Discrete and Continuous Spatial Variation in Gene Expression from Spatially Resolved Transcriptomics.

Cong Ma, Uthsav Chitra, Shirley Zhang, Benjamin J. Raphael

Proceedings of the Research in Computational Molecular Biology, 2022

NetMix2: Unifying Network Propagation and Altered Subnetworks.

Uthsav Chitra, Tae Yoon Park, Benjamin J. Raphael

Proceedings of the Research in Computational Molecular Biology, 2022

2021

Quantifying and Reducing Bias in Maximum Likelihood Estimation of Structured Anomalies.

Uthsav Chitra, Kimberly Ding, Jasper C. H. Lee, Benjamin J. Raphael

Proceedings of the 38th International Conference on Machine Learning, 2021

2020

Quantifying and Reducing Bias in Maximum Likelihood Estimation of Structured Anomalies.

Uthsav Chitra, Kimberly Ding, Benjamin J. Raphael

CoRR, 2020

Analyzing the Impact of Filter Bubbles on Social Network Polarization.

Uthsav Chitra, Christopher Musco

Proceedings of the WSDM '20: The Thirteenth ACM International Conference on Web Search and Data Mining, 2020

NetMix: A Network-Structured Mixture Model for Reduced-Bias Estimation of Altered Subnetworks.

Matthew A. Reyna, Uthsav Chitra, Rebecca Elyanow, Benjamin J. Raphael

Proceedings of the Research in Computational Molecular Biology, 2020

2019

Understanding Filter Bubbles and Polarization in Social Networks.

Uthsav Chitra, Christopher Musco

CoRR, 2019

Committee Selection is More Similar Than You Think: Evidence from Avalanche and Stellar.

Tarun Chitra, Uthsav Chitra

CoRR, 2019

Random Walks on Hypergraphs with Edge-Dependent Vertex Weights.

Uthsav Chitra, Benjamin J. Raphael

Proceedings of the 36th International Conference on Machine Learning, 2019