Publications
Exhaustive, reverse chronological order.
Preprints/In preparation.
--
Conference proceedings/Workshop papers.
Fundamental Limits of Prompt Compression: A Rate-Distortion Framework for Black-Box Language Models (arXiv version coming soon)
A. G.*, Alliot Nagle*, Ashok Vardhan Makkuva, Marco Bondaschi, Michael Gastpar, Hyeji Kim
ICML 2024 Workshop on Theoretical Foundations of Foundation Models [Oral (top 4 out of 58)]Local to Global: Learning Dynamics and Effect of Initialization for Transformers [arXiv]
Ashok Vardhan Makkuva, Marco Bondaschi, Chanakya Ekbote, A. G., Alliot Nagle, Hyeji Kim, Michael Gastpar
ICML 2024 Workshop on Theoretical Foundations of Foundation ModelsAttention with Markov: A Framework for Principled Analysis of Transformers via Markov Chains [arXiv]
Ashok Vardhan Makkuva, Marco Bondaschi, A. G., Alliot Nagle, Martin Jaggi, Hyeji Kim, Michael Gastpar
ICML 2024 Workshop on Mechanistic InterpretabilityICQ: A Quantization Scheme for Best-Arm Identification Over Bit-Constrained Channels [IEEE Xplore] [arXiv]
Fathima Z. Faizal, A. G., Manjesh K. Hanawal, Nikhil Karamchandani
WiOpt (International Symposium on Modeling and Optimization in Mobile, Ad hoc, and Wireless Networks), 2023Micro-Doppler Parameter Estimation Using Variational Mode Decomposition With Finite Rate of Innovation [IEEE Xplore]
Shrikant Sharma, A. G., Darin Jeff, Garweet Sresth, Sanket Bhalerao, Vikram M. Gadre, C. H. Srinivas Rao, P. Radhakrishna
IEEE International Conference on Signal Processing and Communications (SPCOM), 2022Theoretical Analysis of an Inverse Radon Transform Based Multicomponent Micro-Doppler Parameter Estimation Algorithm [IEEE Xplore]
Shrikant Sharma, A. G., Nikhar P. Rakhashia, Vikram M. Gadre, Shaan ul Haque, Aseer Ansari, Ram Bilas Pachori, P. Radhakrishna, Peeyush Sahay
National Conference on Communications (NCC), 2022
Separated by area.
Machine learning (Transformers/LLMs, bandits; 2022--24).
Fundamental Limits of Prompt Compression: A Rate-Distortion Framework for Black-Box Language Models (coming soon)
A. G.*, Alliot Nagle*, Ashok Vardhan Makkuva, Marco Bondaschi, Michael Gastpar, Hyeji Kim
ICML 2024 Workshop on Theoretical Foundations of Foundation Models [Oral (top 4 out of 58)]Local to Global: Learning Dynamics and Effect of Initialization for Transformers [arXiv]
Ashok Vardhan Makkuva, Marco Bondaschi, Chanakya Ekbote, A. G., Alliot Nagle, Hyeji Kim, Michael Gastpar
ICML 2024 Workshop on Theoretical Foundations of Foundation ModelsAttention with Markov: A Framework for Principled Analysis of Transformers via Markov Chains [arXiv]
Ashok Vardhan Makkuva, Marco Bondaschi, A. G., Alliot Nagle, Martin Jaggi, Hyeji Kim, Michael Gastpar
ICML 2024 Workshop on Mechanistic InterpretabilityICQ: A Quantization Scheme for Best-Arm Identification Over Bit-Constrained Channels [IEEE Xplore] [arXiv]
Fathima Z. Faizal, A. G., Manjesh K. Hanawal, Nikhil Karamchandani
WiOpt (International Symposium on Modeling and Optimization in Mobile, Ad hoc, and Wireless Networks), 2023
Signal processing (2020--22).
Micro-Doppler Parameter Estimation Using Variational Mode Decomposition With Finite Rate of Innovation [IEEE Xplore]
Shrikant Sharma, A. G., Darin Jeff, Garweet Sresth, Sanket Bhalerao, Vikram M. Gadre, C. H. Srinivas Rao, P. Radhakrishna
IEEE International Conference on Signal Processing and Communications (SPCOM), 2022Theoretical Analysis of an Inverse Radon Transform Based Multicomponent Micro-Doppler Parameter Estimation Algorithm [IEEE Xplore]
Shrikant Sharma, A. G., Nikhar P. Rakhashia, Vikram M. Gadre, Shaan ul Haque, Aseer Ansari, Ram Bilas Pachori, P. Radhakrishna, Peeyush Sahay
National Conference on Communications (NCC), 2022