works on

From the 1 of 5 linked papers with an AI index.

most citednetFound: Principled Design for Network Foundation Models

3 citations · 3 across the 3 of their papers we have counts for

collaborators

5 papers

cs.NI2026

Pramana: A Composable, Domain-Specific Backend for Empirical Networking Research

Jaber Daneshamooz, Eugene Vuong, Alagappan Ramanathan +11

The paper presents Pramana, a composable, domain‑specific backend that separates experiment intent from execution substrate to streamline the generation of empirical networking dat…

cs.NI2026

NetBurst: Event-Centric Forecasting of Bursty, Intermittent Time Series

Satyandra Guthula, Jaber Daneshamooz, Charles Fleming +3

Network operators monitor their infrastructure by collecting telemetry data such as packet counts, byte rates, or flow volumes, yet answering the questions that effective operation…

cs.NI20263 cited

netFound: Principled Design for Network Foundation Models

Sylee Beltiukov, Satyandra Guthula, Haarika Manda +5

Network foundation models promise reusable representations for diverse traffic analysis tasks, but recent diagnostic works have revealed fundamental problems: models exploit datase…

cs.NI2026

NetForge: A Programmable Substrate for Bottleneck-Centric Network Data Generation

Jaber Daneshamooz, Satyandra Guthula, Jessica Nguyen +5

The behavior of Internet applications is shaped by congestion dynamics at bottleneck links, yet data capturing application behavior across diverse bottleneck regimes remains scarce…

cs.LG2025

Demystifying Network Foundation Models

Sylee Beltiukov, Satyandra Guthula, Wenbo Guo +2

This work presents a systematic investigation into the latent knowledge encoded within Network Foundation Models (NFMs) that focuses on hidden representations analysis rather than…