Publications

R. Baltaji, S. Basu, L. R. Varshney
Efficient Model-Agnostic Multi-Group Equivariant Networks
arXiv:2310.09675 [cs.LG]

S. Basu, P. Katdare, P. Sattigeri, V. Chenthamarakshan, K. Driggs-Campbell, P. Das, and L. R. Varshney
Efficient Equivariant Transfer Learning from Pretrained Models
NeurIPS 2023

S. Basu, M. Choraria, and L. R. Varshney,
Transformers are Universal Predictors
ICML 2023 Workshop on Neural Compression

S. Basu, P. Sattigeri, K. Natesan Ramamurthy, V. Chenthamarakshan, K. R. Varshney, L. R. Varshney, and P. Das
Equi-Tuning: Group Equivariant Fine-Tuning of Pretrained Models
AAAI Conference on Artificial Intelligence, 2023

S. Basu, J. Gallego-Posada, F. Viganò, J. Rowbottom, and T. Cohen
Equivariant Mesh Attention Networks
Transactions on Machine Learning Research, Aug 2022

S. Basu, P. Katdare, K. Driggs-Campbell, and L. R. Varshney
Gauge Equivariant Deep Q-Learning on Discrete Manifolds
ICLR 2022 Workshop on Geometrical and Topological Representation Learning, May 2022

S. Basu, A. Magesh, H. Yadav, and L. R. Varshney
Autoequivariant Network Search via Group Decomposition

S. Basu, G. S. Ramachandran, N. S. Keskar, and L. R. Varshney
Mirostat: A Neural Text Decoding Algorithm that Directly Controls Perplexity
ICLR 2021

S. Basu and L. R. Varshney
Universal and Succinct Source Coding of Deep Neural Networks
IEEE Journal on Selected Areas in Information Theory, Dec. 2022.

S. Basu, D. Seo, and L. R. Varshney
Hypergraph-based Source Codes for Function Computation Under Maximal Distortion
IEEE Journal on Selected Areas in Information Theory, Dec. 2022.

T. Ameen ur Rahman, A. S. Barbehenn, X. Chen, H. Dbouk, J. A. Douglas, Y. Geng, I. George, J. B. Harvill, S. W. Jeon, K. K. Kansal, K. Lee, K. A. Levick, B. Li, Z. Li, Y. Murthy, A. Muthuveeru-Subramaniam, S. Y. Olmez, M. J. Tomei, T. Veeravalli, X. Wang, E. A. Wayman, F. Wu, P. Xu, S. Yan, H. Zhang, Y. Zhang, Y. Zhang, Y. Zhao, S. Basu, and L. R. Varshney
The Twelvefold Way of Non-Sequential Lossless Compression
IEEE Data Compression Conference, March 2021.

S. Basu, D. Seo, and L. R. Varshney
Hypergraph-based Coding Schemes for Two Source Coding Problems under Maximal Distortion
IEEE International Symposium on Information Theory, June 2020.

S. Basu, D. Seo, and L. R. Varshney
Functional Epsilon Entropy
IEEE Data Compression Conference, June 2020.

S. Basu and L. R. Varshney
Polar Codes for Simultaneous Information and Energy Transmission
IEEE International Workshop on Signal Processing Advances in Wireless Communications, July 2019.

S. Basu and L. R. Varshney
Universal Source Coding of Deep Neural Networks
IEEE Data Compression Conference, April 2017.

S. Basu S. Chaturvedi, and R. M. Hegde
Text Compression Using Lexicographic Permutation of Binary Strings
IEEE International Conference on Signal Processing and Communications, 2016.

M. Seth, S. Basu S. Chaturvedi, and R. M. Hegde
Multi Character Frequency based Encoding for Efficient Text Messaging in Indian Languages
IEEE Twenty Second National Conference on Communications, 2016.