Ayush Chauhan

Research Associate

Bangalore

Ayush joined the Big Data Experience Lab at Adobe Research in July 2018 as a Research Associate. He completed his B.Tech. from IIT Roorkee, with major in Electronics and Communication Engineering and minor in Computer Science. He earlier interned at the same lab during Summer 2017 where he worked on designing a secrecy-preserving verifiable attribution mechanism for Adobe Device Co-op using Blockchain.

As a Research Associate here, he has worked on multiple research projects in the field of Causal Inference and Causal Discovery. His research primarily involves utilising tools from Causality, Time Series Analysis & Machine Learning and applying them to problems in the domain of Web Analytics and Marketing.

Publications

Time Series Forecasting for Cold-Start Items by Learning from Related Items using Memory Networks

Chauhan, A., Prasad*, A., Gupta*, P., Reddy*, A., Saini, S. (Apr. 20, 2020)

The Web Conference (WebConf) - Poster

Dis-entangling Mixture of Interventions on a Causal Bayesian Network Using Aggregate Observations

Sinha, G., Chauhan, A., Maiti*, A., Poddar*, N., Goel*, P. (Jan. 15, 2020)

Ninth International Workshop on Statistical Relational AI at 34th AAAI Conference on Artificial Intelligence (AAAI)

Weighted Sum of Spectral Efficiency and Energy Efficiency in Spatial Modulation–MIMO Systems

Chauhan, A., Bansal, K., Chatuvedi, A. (Nov. 7, 2019)

IEEE 90th Vehicular Technology Conference (VTC2019-Fall)