Sourya Basu

Publication Activity (10 Years)

Years Active: 2017-2024
Publications (10 Years): 24

Top Topics

Lossless Compression

Decoding Algorithm

Neural Architecture

Top Venues

IEEE J. Sel. Areas Inf. Theory

Publications

Sourya Basu, Suhas Lohit, Matthew Brand
G-RepsNet: A Fast and General Construction of Equivariant Networks for Arbitrary Matrix Groups. CoRR (2024)
Sourya Basu, Prasanna Sattigeri, Karthikeyan Natesan Ramamurthy, Vijil Chenthamarakshan, Kush R. Varshney, Lav R. Varshney, Payel Das
Equi-Tuning: Group Equivariant Fine-Tuning of Pretrained Models. AAAI (2023)
Sourya Basu, Pulkit Katdare, Prasanna Sattigeri, Vijil Chenthamarakshan, Katherine Driggs Campbell, Payel Das, Lav R. Varshney
Efficient Equivariant Transfer Learning from Pretrained Models. NeurIPS (2023)
Razan Baltaji, Sourya Basu, Lav R. Varshney
Efficient Model-Agnostic Multi-Group Equivariant Networks. CoRR (2023)
Sourya Basu, Pulkit Katdare, Prasanna Sattigeri, Vijil Chenthamarakshan, Katherine Rose Driggs-Campbell, Payel Das, Lav R. Varshney
Equivariant Few-Shot Learning from Pretrained Models. CoRR (2023)
Sourya Basu, Moulik Choraria, Lav R. Varshney
Transformers are Universal Predictors. CoRR (2023)
Sourya Basu, Lav R. Varshney
Universal and Succinct Source Coding of Deep Neural Networks. IEEE J. Sel. Areas Inf. Theory 3 (4) (2022)
Sourya Basu, Daewon Seo, Lav R. Varshney
Hypergraph-Based Source Codes for Function Computation Under Maximal Distortion. IEEE J. Sel. Areas Inf. Theory 3 (4) (2022)
Sourya Basu, Daewon Seo, Lav R. Varshney
Hypergraph-based Source Codes for Function Computation Under Maximal Distortion. CoRR (2022)
Sourya Basu, Prasanna Sattigeri, Karthikeyan Natesan Ramamurthy, Vijil Chenthamarakshan, Kush R. Varshney, Lav R. Varshney, Payel Das
Equi-Tuning: Group Equivariant Fine-Tuning of Pretrained Models. CoRR (2022)
Sourya Basu, Jose Gallego-Posada, Francesco Viganò, James Rowbottom, Taco Cohen
Equivariant Mesh Attention Networks. CoRR (2022)
Sourya Basu, Jose Gallego-Posada, Francesco Viganò, James Rowbottom, Taco Cohen
Equivariant Mesh Attention Networks. Trans. Mach. Learn. Res. 2022 (2022)
Sourya Basu, Akshayaa Magesh, Harshit Yadav, Lav R. Varshney
Group Equivariant Neural Architecture Search via Group Decomposition and Reinforcement Learning. CoRR (2021)
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, Bochao Li, Ziyue Li, Yashaswini Murthy, Adarsh Muthuveeru-Subramaniam, S. Yagiz Olmez, Matthew J. Tomei, Tanya Veeravalli, Xuechao Wang, Eric A. Wayman, Fan Wu, Peng Xu, Shen Yan, Heling Zhang, Yibo Zhang, Yifan Zhang, Yibo Zhao, Sourya Basu, Lav R. Varshney
The Twelvefold Way of Non-Sequential Lossless Compression. DCC (2021)
Sourya Basu, Govardana Sachitanandam Ramachandran, Nitish Shirish Keskar, Lav R. Varshney
Mirostat: a Neural Text decoding Algorithm that directly controls perplexity. ICLR (2021)
Sourya Basu, Govardana Sachitanandam Ramachandran, Nitish Shirish Keskar, Lav R. Varshney
Mirostat: A Perplexity-Controlled Neural Text Decoding Algorithm. CoRR (2020)
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, Bochao Li, Ziyue Li, Yashaswini Murthy, Adarsh Muthuveeru-Subramaniam, S. Yagiz Olmez, Matthew J. Tomei, Tanya Veeravalli, Xuechao Wang, Eric A. Wayman, Fan Wu, Peng Xu, Shen Yan, Heling Zhang, Yibo Zhang, Yifan Zhang, Yibo Zhao, Sourya Basu, Lav R. Varshney
The Twelvefold Way of Non-Sequential Lossless Compression. CoRR (2020)
Sourya Basu, Daewon Seo, Lav R. Varshney
Hypergraph-based Coding Schemes for Two Source Coding Problems under Maximal Distortion. ISIT (2020)
Sourya Basu, Daewon Seo, Lav R. Varshney
Functional Epsilon Entropy. DCC (2020)
Sourya Basu, Daewon Seo, Lav R. Varshney
Functional Epsilon Entropy. CoRR (2019)
Sourya Basu, Lav R. Varshney
Polar Codes for Simultaneous Information and Energy Transmission. SPAWC (2019)
Aditya Raikar, Sourya Basu, Rajesh M. Hegde
Single Channel Joint Speech Dereverberation and Denoising Using Deep Priors. GlobalSIP (2018)
Sourya Basu, Lav R. Varshney
Universal and Succinct Source Coding of Deep Neural Networks. CoRR (2018)
Sourya Basu, Lav R. Varshney
Universal Source Coding of Deep Neural Networks. DCC (2017)