Publications

[NeurIPS 2024]

Fundamental Limits of Prompt Compression: A Rate-Distortion Framework for Black-Box Language Models

Alliot Nagle*, Adway Girish*, Marco Bondaschi, Michael Gastpar, Ashok Vardhan Makkuva, Hyeji Kim

[NeurIPS 2024]

Local to Global: Learning Dynamics and Effect of Initialization for Transformers

Ashok Vardhan Makkuva*, Marco Bondaschi*, Chanakya Ekbote, Adway Girish, Alliot Nagle, Hyeji Kim, Michael Gastpar

[JSAIT 2024]

Neural Distributed Source Coding

Jay Whang*, Alliot Nagle*, Anish Acharya, Hyeji Kim, Alexandros Dimakis

[Prepint 2024]

Attention with Markov: A Framework for Principled Analysis of Transformers via Markov Chains

Ashok Vardhan Makkuva*, Marco Bondaschi*, Adway Girish, Alliot Nagle, Martin Jaggi, Hyeji Kim, Michael Gastpar

[NeuroImage 2023]

Improved high-dimensional multivariate autoregressive model estimation of human electrophysiological data using fMRI priors

Alliot Nagle, Josh P. Gerrelts, Bryan M. Krause, Aaron D. Boes, Joel E. Bruss, Kirill V. Nourski, Matthew I. Banks, Barry Van Veen

[NeurIPS 2022]

Rare Gems: Finding Lottery Tickets at Initialization

Kartik Sreenivasan, Jy-yong Sohn, Liu Yang, Matthew Grinde, Alliot Nagle, Hongyi Wang, Eric Xing, Kangwook Lee, Dimitris Papailiopoulos

[NeurIPS 2020]

Optimal Lottery Tickets via SubsetSum: Logarithmic Over-Parameterization is Sufficient

Ankit Pensia, Shashank Rajput, Alliot Nagle, Harit Vishwakarma, Dimitris Papailiopoulos