8 citations · 22 across the 8 of their papers we have counts for
10 papers
WikiContradict: A Benchmark for Evaluating LLMs on Real-World Knowledge Conflicts from Wikipedia
Yufang Hou, Alessandra Pascale, Javier Carnerero-Cano +5
Retrieval-augmented generation (RAG) has emerged as a promising solution to mitigate the limitations of large language models (LLMs), such as hallucinations and outdated informatio…
A recommender for the management of chronic pain in patients undergoing spinal cord stimulation
Tigran Tchrakian, Mykhaylo Zayats, Alessandra Pascale +7
Spinal cord stimulation (SCS) is a therapeutic approach used for the management of chronic pain. It involves the delivery of electrical impulses to the spinal cord via an implanted…
On-Line Learning of Linear Dynamical Systems: Exponential Forgetting in Kalman Filters
Mark Kozdoba, Jakub Marecek, Tigran Tchrakian +1
Kalman filter is a key tool for time-series forecasting and analysis. We show that the dependence of a prediction of Kalman filter on the past is decaying exponentially, whenever t…
Robust Spectral Filtering and Anomaly Detection
Jakub Marecek, Tigran Tchrakian
We consider a setting, where the output of a linear dynamical system (LDS) is, with an unknown but fixed probability, replaced by noise. There, we present a robust method for the p…
Exponentially convergent data assimilation algorithm for Navier-Stokes equations
Jason Frank, Tigran Tchrakian, Sergiy Zhuk
The paper presents a new state estimation algorithm for a bilinear equation representing the Fourier- Galerkin (FG) approximation of the Navier-Stokes (NS) equations on a torus in…
Where computer vision can aid physics: dynamic cloud motion forecasting from satellite images
Sergiy Zhuk, Tigran Tchrakian, Albert Akhriev +2
This paper describes a new algorithm for solar energy forecasting from a sequence of Cloud Optical Depth (COD) images. The algorithm is based on the following simple observation: t…