Saliency Prediction for Visual Regions of Interest with Applications in Advertising. - Shailee Jain; S. Sowmya Kamath (VAAM/FFER@ICPR, 2016)

Mining User Trajectories in Electronic Text Books. - Ahcène Boubekki; Shailee Jain; Ulf Brefeld (EDM, 2018)

Incorporating Context into Language Encoding Models for fMRI. - Shailee Jain; Alexander Huth (NeurIPS, 2018)

A single-layer RNN can approximate stacked and bidirectional RNNs, and topologies in between. - Javier S. Turek; Shailee Jain; Mihai Capota; Alexander G. Huth; Theodore L. Willke (CoRR, 2019)

Approximating Stacked and Bidirectional Recurrent Architectures with the Delayed Recurrent Neural Network. - Javier Turek; Shailee Jain; Vy A. Vo; Mihai Capota; Alexander Huth; Theodore L. Willke (ICML, 2020)

Interpretable multi-timescale models for predicting fMRI responses to continuous natural speech. - Shailee Jain; Vy A. Vo; Shivangi Mahto; Amanda LeBel; Javier S. Turek; Alexander Huth (NeurIPS, 2020)

Spatial Language Representation with Multi-Level Geocoding. - Sayali Kulkarni; Shailee Jain; Mohammad Javad Hosseini; Jason Baldridge; Eugene Ie; Li Zhang (CoRR, 2020)

Self-Supervised Models of Audio Effectively Explain Human Cortical Responses to Speech. - Aditya R. Vaidya; Shailee Jain; Alexander Huth (ICML, 2022)

Explaining black box text modules in natural language with language models. - Chandan Singh; Aliyah R. Hsu; Richard J. Antonello; Shailee Jain; Alexander G. Huth; Bin Yu 001; Jianfeng Gao 001 (CoRR, 2023)

A generative framework to bridge data-driven models and scientific theories in language neuroscience. - Richard J. Antonello; Chandan Singh; Shailee Jain; Aliyah R. Hsu; Jianfeng Gao 001; Bin Yu 001; Alexander Huth (CoRR, 2024)