Huffman Coding Based Encoding Techniques for Fast Distributed Deep Learning. - Rishikesh R. Gajjala; Shashwat Banchhor; Ahmed M. Abdelmoniem; Aritra Dutta; Marco Canini; Panos Kalnis (DistributedML@CoNEXT, 2020)

Decode-Efficient Prefix Codes for Hierarchical Memory Models. - Shashwat Banchhor; Rishikesh R. Gajjala; Yogish Sabharwal; Sandeep Sen (DCC, 2020)

Decode efficient prefix codes. - Shashwat Banchhor; Rishikesh R. Gajjala; Yogish Sabharwal; Sandeep Sen (CoRR, 2020)

Efficient algorithms for decode efficient prefix codes. - Shashwat Banchhor; Rishikesh R. Gajjala; Yogish Sabharwal; Sandeep Sen (DCC, 2021)

Generalizations of Length Limited Huffman Coding for Hierarchical Memory Settings. - Shashwat Banchhor; Rishikesh R. Gajjala; Yogish Sabharwal; Sandeep Sen (FSTTCS, 2021)

Learning Sparse Fixed-Structure Gaussian Bayesian Networks. - Arnab Bhattacharyya 001; Davin Choo; Rishikesh Gajjala; Sutanu Gayen; Yuhao Wang (AISTATS, 2022)

Perfect Matchings and Quantum Physics: Progress on Krenn's Conjecture. - L. Sunil Chandran; Rishikesh Gajjala (CoRR, 2022)

Improved upper bounds for the Heilbronn's Problem for k-gons. - Rishikesh Gajjala; Jayanth Ravi (CCCG, 2024)

Two Results on LPT: A Near-Linear Time Algorithm and Parcel Delivery Using Drones. - L. Sunil Chandran; Rishikesh Gajjala; Shravan Mehra; Saladi Rahul (FSTTCS, 2024)

Krenn-Gu Conjecture for Sparse Graphs. - L. Sunil Chandran; Rishikesh Gajjala; Abraham M. Illickan (MFCS, 2024)

No Distributed Quantum Advantage for Approximate Graph Coloring. - Xavier Coiteux-Roy; Francesco D'Amore 001; Rishikesh Gajjala; Fabian Kuhn; François Le Gall; Henrik Lievonen; Augusto Modanese; Marc-Olivier Renou; Gustav Schmid; Jukka Suomela (STOC, 2024)

Graph-theoretic insights on the constructability of complex entangled states. - L. Sunil Chandran; Rishikesh Gajjala (Quantum, 2024)

CNFs and DNFs with Exactly k Solutions. - L. Sunil Chandran; Rishikesh Gajjala; Kuldeep S. Meel (SAT, 2025)

CNFs and DNFs with Exactly k Solutions. - L. Sunil Chandran; Rishikesh Gajjala; Kuldeep S. Meel (CoRR, 2025)