activity
20072022
most citedTowards optimal extraction of cosmological information from nonlinear data

108 citations · 412 across the 18 of their papers we have counts for

collaborators

19 papers

cs.CL2022★ 4 cited

Patents Phrase to Phrase Semantic Matching Dataset

Grigor Aslanyan, Ian Wetherbee

There are many general purpose benchmark datasets for Semantic Textual Similarity but none of them are focused on technical concepts found in patents and scientific publications. T…

astro-ph.IM2020

Robust posterior inference when statistically emulating forward simulations

Grigor Aslanyan, Richard Easther, Nathan Musoke +1

Scientific analyses often rely on slow, but accurate forward models for observable data conditioned on known model parameters. While various emulation schemes exist to approximate…

cs.IR2019★ 3 cited

Personalized Query Auto-Completion Through a Lightweight Representation of the User Context

Manojkumar Rangasamy Kannadasan, Grigor Aslanyan

Query Auto-Completion (QAC) is a widely used feature in many domains, including web and eCommerce search, suggesting full queries based on a prefix typed by the user. QAC has been…

cs.IR2019

Personalized Ranking in eCommerce Search

Grigor Aslanyan, Aritra Mandal, Prathyusha Senthil Kumar +2

We address the problem of personalization in the context of eCommerce search. Specifically, we develop personalization ranking features that use in-session context to augment a gen…

cs.IR2018★ 8 cited

Position Bias Estimation for Unbiased Learning-to-Rank in eCommerce Search

Grigor Aslanyan, Utkarsh Porwal

The Unbiased Learning-to-Rank framework has been recently proposed as a general approach to systematically remove biases, such as position bias, from learning-to-rank models. The m…

astro-ph.CO2018★ 26 cited

Efficient Optimal Reconstruction of Linear Fields and Band-powers from Cosmological Data

Benjamin Horowitz, Uros Seljak, Grigor Aslanyan

We present an efficient implementation of Wiener filtering of real-space linear field and optimal quadratic estimator of its power spectrum Band-powers. We first recast the field r…