Publications

Kiran Purohit, Venktesh V*, Sourangshu Bhattacharya, Avishek Anand (2025). Sample Efficient Demonstration Selection for In-Context Learning. ICML 2025.

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Kiran Purohit, Venktesh V*, Raghuram Devalla, Krishna Mohan Yerragorla, Sourangshu Bhattacharya, Avishek Anand (2024). EXPLORA: Efficient Exemplar Subset Selection for Complex Reasoning. EMNLP 2024.

PDF Code Project Poster Slides Video DOI

Kiran Purohit, Anurag Parvathgari, Sourangshu Bhattacharya (2024). A Greedy Hierarchical Approach to Whole-Network Filter-Pruning in CNNs. TMLR 2024.

PDF Code Project Slides Video

Kiran Purohit, Soumi Das, Sourangshu Bhattacharya, Santu Rana (2024). A Data-Driven Defense against Edge-case Model Poisoning Attacks on Federated Learning. ECAI 2024.

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Kiran Purohit, Anurag Parvathgari, Soumi Das, Sourangshu Bhattacharya (2022). Accurate and efficient channel pruning via orthogonal matching pursuit. AIMLSystems 2022.

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Kiran Purohit, Abhishek Kesarwani, Dakshina Ranjan Kisku, Mamata Dalui (2021). COVID-19 Detection on Chest X-Ray and CT Scan Images Using Multi-image Augmented Deep Learning Model. ICMC 2021.

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Abhishek Kesarwani, Kiran Purohit, Mamata Dalui, Dakshina Ranjan Kisku (2020). Measuring the Degree of Suitability of Edge Detection Operators Prior to an Application. ASPCON 2020.