Text compression using lexicographic permutation of binary strings. - Sourya Basu; Shivam Chaturvedi; Rajesh M. Hegde (SPCOM, 2016)

Universal Source Coding of Deep Neural Networks. - Sourya Basu; Lav R. Varshney (DCC, 2017)

Single Channel Joint Speech Dereverberation and Denoising Using Deep Priors. - Aditya Raikar; Sourya Basu; Rajesh M. Hegde (GlobalSIP, 2018)

Polar Codes for Simultaneous Information and Energy Transmission. - Sourya Basu; Lav R. Varshney (SPAWC, 2019)

Functional Epsilon Entropy. - Sourya Basu; Daewon Seo; Lav R. Varshney (DCC, 2020)

Hypergraph-based Coding Schemes for Two Source Coding Problems under Maximal Distortion. - Sourya Basu; Daewon Seo; Lav R. Varshney (ISIT, 2020)

Mirostat: A Perplexity-Controlled Neural Text Decoding Algorithm. - Sourya Basu; Govardana Sachitanandam Ramachandran; Nitish Shirish Keskar; Lav R. Varshney (CoRR, 2020)

The Twelvefold Way of Non-Sequential Lossless Compression. - Taha Ameen ur Rahman; Alton S. Barbehenn; Xinan Chen; Hassan Dbouk; James A. Douglas; Yuncong Geng; Ian George; John B. Harvill; Sung Woo Jeon; Kartik K. Kansal; Kiwook Lee; Kelly A. Levick; et al. (DCC, 2021)

Mirostat: a Neural Text decoding Algorithm that directly controls perplexity. - Sourya Basu; Govardana Sachitanandam Ramachandran; Nitish Shirish Keskar; Lav R. Varshney (ICLR, 2021)

Group Equivariant Neural Architecture Search via Group Decomposition and Reinforcement Learning. - Sourya Basu; Akshayaa Magesh; Harshit Yadav; Lav R. Varshney (CoRR, 2021)

Equivariant Mesh Attention Networks. - Sourya Basu; Jose Gallego-Posada; Francesco Viganò; James Rowbottom; Taco Cohen (Trans. Mach. Learn. Res., 2022)

Hypergraph-Based Source Codes for Function Computation Under Maximal Distortion. - Sourya Basu; Daewon Seo; Lav R. Varshney (IEEE J. Sel. Areas Inf. Theory, 2022)

Universal and Succinct Source Coding of Deep Neural Networks. - Sourya Basu; Lav R. Varshney (IEEE J. Sel. Areas Inf. Theory, 2022)

Equi-Tuning: Group Equivariant Fine-Tuning of Pretrained Models. - Sourya Basu; Prasanna Sattigeri; Karthikeyan Natesan Ramamurthy; Vijil Chenthamarakshan; Kush R. Varshney; Lav R. Varshney; Payel Das (AAAI, 2023)

Efficient Equivariant Transfer Learning from Pretrained Models. - Sourya Basu; Pulkit Katdare; Prasanna Sattigeri; Vijil Chenthamarakshan; Katherine Driggs-Campbell; Payel Das; Lav R. Varshney (NeurIPS, 2023)

Equivariant Few-Shot Learning from Pretrained Models. - Sourya Basu; Pulkit Katdare; Prasanna Sattigeri; Vijil Chenthamarakshan; Katherine Rose Driggs-Campbell; Payel Das; Lav R. Varshney (CoRR, 2023)

Transformers are Universal Predictors. - Sourya Basu; Moulik Choraria; Lav R. Varshney (CoRR, 2023)

G-RepsNet: A Fast and General Construction of Equivariant Networks for Arbitrary Matrix Groups. - Sourya Basu; Suhas Lohit; Matthew Brand (CoRR, 2024)

Efficient Model-Agnostic Multi-Group Equivariant Networks. - Razan Baltaji; Sourya Basu; Lav R. Varshney (Trans. Mach. Learn. Res., 2024)

G-RepsNet: A Lightweight Construction of Equivariant Networks for Arbitrary Matrix Groups. - Sourya Basu; Suhas Lohit; Matthew Brand (Trans. Mach. Learn. Res., 2025)