1 citations · 1 across the 8 of their papers we have counts for
12 papers
Forecasting the Growth of Social Media Information Cascades: Towards Human-in-the-Loop Misinformation Triage
Ansh Gupta, Abhiram Gorle, Aayush Rajesh +1
Limited review teams must identify which emerging claims are likely to keep growing before their eventual reach is known. We center early misinformation triage on this continuation…
Cooperative Dynamic Spectrum Access for Cell-Free MISO Networks Using Spectrum Consumption Models
Jiwon Sung, Seungmin Choi, Abhiram R. Gorle +3
This paper incorporates uniform planar arrays into a cooperative dynamic spectrum access (DSA) mechanism based on the IEEE 1900.5.2 spectrum consumption model (SCM). Unlike prior w…
Small Models Scout Bottleneck Order for Large-Model Data Control
Seungmin Choi, Jiwon Sung, Muhammad Umer +4
Small proxy models are commonly used to identify data mixtures for larger-scale training. We ask whether their training trajectories reveal another transferable structure: the orde…
An Information-Theoretic Perspective on LLM Tokenizers
Mete Erdogan, Abhiram Gorle, Shubham Chandak +2
Large language model (LLM) tokenizers act as structured compressors: by mapping text to discrete token sequences, they determine token count (and thus compute and context usage) an…
On the Fundamental Limits of LLMs at Scale
Muhammad Ahmed Mohsin, Muhammad Umer, Ahsan Bilal +13
Large Language Models (LLMs) have benefited enormously from scaling, yet these gains are bounded by five fundamental limitations: (1) hallucination, (2) context compression, (3) re…
minPIC: Towards Optimal Power Allocation in Multi-User Interference Channels
Sagnik Bhattacharya, Abhiram Rao Gorle, John M. Cioffi
6G envisions massive cell-free networks with spatially nested multiple access (MAC) and broadcast (BC) channels without centralized coordination. This makes optimal resource alloca…
AI Enabled 6G for Semantic Metaverse: Prospects, Challenges and Solutions for Future Wireless VR
Muhammad Ahmed Mohsin, Sagnik Bhattacharya, Abhiram Gorle +2
Wireless support of virtual reality (VR) has challenges when a network has multiple users, particularly for 3D VR gaming, digital AI avatars, and remote team collaboration. This wo…
Information-computation trade-offs in non-linear transforms
Connor Ding, Abhiram Rao Gorle, Jiwon Jeong +2
In this work, we explore the interplay between information and computation in non-linear transform-based compression for broad classes of modern information-processing tasks. We fi…
ItDPDM: Information-Theoretic Discrete Poisson Diffusion Model
Sagnik Bhattacharya, Abhiram Gorle, Ahsan Bilal +3
Generative modeling of non-negative, discrete data, such as symbolic music, remains challenging due to two persistent limitations in existing methods. Firstly, many approaches rely…
LZMidi: Compression-Based Symbolic Music Generation
Connor Ding, Abhiram Gorle, Sagnik Bhattacharya +3
Recent advances in symbolic music generation primarily rely on deep learning models such as Transformers, GANs, and diffusion models. While these approaches achieve high-quality re…
An Information-Theoretic Efficient Capacity Region for Multi-User Interference Channel
Sagnik Bhattacharya, Abhiram Rao Gorle, Muhammad Ali Mohsin +1
We investigate the capacity region of multi-user interference channels (IC), where each user encodes multiple sub-user components. By unifying chain-rule decomposition with the Ent…
Stability and Synchronization of Kuramoto Oscillators
Abhiram Gorle
Imagine a group of oscillators, each endowed with their own rhythm or frequency, be it the ticking of a biological clock, the swing of a pendulum, or the glowing of fireflies. Whil…