7 citations · 13 across the 14 of their papers we have counts for
14 papers
Reverse-Time Diffusion Processes for Discrete Time Linear and Nonlinear Systems with non-Gaussian Noise
Soura Dasgupta, Brian D. O. Anderson, Raghuraman Mudumbai
Generative AI relies on finding reverse time models for a discrete-time forward diffusion with non-Gaussian initial state, but uses indirect approaches as there is no theory for di…
Scale-Free Beamforming using Swarm Arrays for Remote Sensing under Interference
Bradley Hamilton, Raghu Mudumbai, Soura Dasgupta +1
We consider a swarm array of autonomous relays that seek to cooperatively forward a desired signal to a fusion center with the maximum possible fidelity while canceling out a numbe…
Slaves to the Law of Large Numbers: An Asymptotic Equipartition Property for Perplexity in Generative Language Models
Tyler Bell, Avinash Mudireddy, Ivan Johnson-Eversoll +2
We prove a new asymptotic un-equipartition property for the perplexity of long texts generated by a language model and present supporting experimental evidence from open-source mod…
Monotonic Filtering for Distributed Collection
Hunza Zainab, Giorgio Audrito, Soura Dasgupta +1
Distributed data collection is a fundamental task in open systems. In such networks, data is aggregated across a network to produce a single aggregated result at a source device. T…
Stability and Resilience of Distributed Information Spreading in Aggregate Computing
Yuanqiu Mo, Soura Dasgupta, Jacob Beal
Spreading information through a network of devices is a core activity for most distributed systems. As such, self-stabilizing algorithms implementing information spreading are one…
Separation-Free Super-Resolution from Compressed Measurements is Possible: an Orthonormal Atomic Norm Minimization Approach
Weiyu Xu, Jirong Yi, Soura Dasgupta +3
We consider the problem of recovering the superposition of distinct complex exponential functions from compressed non-uniform time-domain samples. Total Variation (TV) minimiza…