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Adway Girish
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2020 – today
- 2024
- [i4]Ashok Vardhan Makkuva, Marco Bondaschi, Adway Girish, Alliot Nagle, Martin Jaggi, Hyeji Kim, Michael Gastpar:
Attention with Markov: A Framework for Principled Analysis of Transformers via Markov Chains. CoRR abs/2402.04161 (2024) - [i3]Ashok Vardhan Makkuva, Marco Bondaschi, Chanakya Ekbote, Adway Girish, Alliot Nagle, Hyeji Kim, Michael Gastpar:
Local to Global: Learning Dynamics and Effect of Initialization for Transformers. CoRR abs/2406.03072 (2024) - [i2]Adway Girish, Alliot Nagle, Marco Bondaschi, Michael Gastpar, Ashok Vardhan Makkuva, Hyeji Kim:
Fundamental Limits of Prompt Compression: A Rate-Distortion Framework for Black-Box Language Models. CoRR abs/2407.15504 (2024) - 2023
- [c3]Fathima Zarin Faizal, Adway Girish, Manjesh Kumar Hanawal, Nikhil Karamchandani:
ICQ: A Quantization Scheme for Best-Arm Identification Over Bit-Constrained Channels. WiOpt 2023: 270-277 - [i1]Fathima Zarin Faizal, Adway Girish, Manjesh Kumar Hanawal, Nikhil Karamchandani:
ICQ: A Quantization Scheme for Best-Arm Identification Over Bit-Constrained Channels. CoRR abs/2305.00528 (2023) - 2022
- [c2]Shrikant Sharma, Adway Girish, Nikhar P. Rakhashia, Vikram M. Gadre, Shaan Ul Haque, Aseer Ansari, Ram Bilas Pachori, P. Radhakrishna, Peeyush Sahay:
Theoretical Analysis of an Inverse Radon Transform Based Multicomponent Micro-Doppler Parameter Estimation Algorithm. NCC 2022: 70-75 - [c1]Shrikant Sharma, Adway Girish, Darin Jeff, Garweet Sresth, Sanket Bhalerao, Vikram M. Gadre, C. H. Srinivas Rao, P. Radhakrishna:
Micro-Doppler Parameter Estimation Using Variational Mode Decomposition With Finite Rate of Innovation. SPCOM 2022: 1-5
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last updated on 2024-08-20 23:00 CEST by the dblp team
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