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Increasing Physical Layer Security through Hyperchaos in VLC Systems


Dec 17, 2022
Ashish Sharma, Harshil Bhatt

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Gendered Mental Health Stigma in Masked Language Models


Oct 27, 2022
Inna Wanyin Lin, Lucille Njoo, Anjalie Field, Ashish Sharma, Katharina Reinecke, Tim Althoff, Yulia Tsvetkov

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* EMNLP 2022 

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Human-AI Collaboration Enables More Empathic Conversations in Text-based Peer-to-Peer Mental Health Support


Mar 28, 2022
Ashish Sharma, Inna W. Lin, Adam S. Miner, David C. Atkins, Tim Althoff

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Applications and Techniques for Fast Machine Learning in Science


Oct 25, 2021
Allison McCarn Deiana, Nhan Tran, Joshua Agar, Michaela Blott, Giuseppe Di Guglielmo, Javier Duarte, Philip Harris, Scott Hauck, Mia Liu, Mark S. Neubauer, Jennifer Ngadiuba, Seda Ogrenci-Memik, Maurizio Pierini, Thea Aarrestad, Steffen Bahr, Jurgen Becker, Anne-Sophie Berthold, Richard J. Bonventre, Tomas E. Muller Bravo, Markus Diefenthaler, Zhen Dong, Nick Fritzsche, Amir Gholami, Ekaterina Govorkova, Kyle J Hazelwood, Christian Herwig, Babar Khan, Sehoon Kim, Thomas Klijnsma, Yaling Liu, Kin Ho Lo, Tri Nguyen, Gianantonio Pezzullo, Seyedramin Rasoulinezhad, Ryan A. Rivera, Kate Scholberg, Justin Selig, Sougata Sen, Dmitri Strukov, William Tang, Savannah Thais, Kai Lukas Unger, Ricardo Vilalta, Belinavon Krosigk, Thomas K. Warburton, Maria Acosta Flechas, Anthony Aportela, Thomas Calvet, Leonardo Cristella, Daniel Diaz, Caterina Doglioni, Maria Domenica Galati, Elham E Khoda, Farah Fahim, Davide Giri, Benjamin Hawks, Duc Hoang, Burt Holzman, Shih-Chieh Hsu, Sergo Jindariani, Iris Johnson, Raghav Kansal, Ryan Kastner, Erik Katsavounidis, Jeffrey Krupa, Pan Li, Sandeep Madireddy, Ethan Marx, Patrick McCormack, Andres Meza, Jovan Mitrevski, Mohammed Attia Mohammed, Farouk Mokhtar, Eric Moreno, Srishti Nagu, Rohin Narayan, Noah Palladino, Zhiqiang Que, Sang Eon Park, Subramanian Ramamoorthy, Dylan Rankin, Simon Rothman, Ashish Sharma, Sioni Summers, Pietro Vischia, Jean-Roch Vlimant, Olivia Weng

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* 66 pages, 13 figures, 5 tables 

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Towards Facilitating Empathic Conversations in Online Mental Health Support: A Reinforcement Learning Approach


Jan 19, 2021
Ashish Sharma, Inna W. Lin, Adam S. Miner, David C. Atkins, Tim Althoff

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* Accepted for publication at WWW 2021 

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A Computational Approach to Understanding Empathy Expressed in Text-Based Mental Health Support


Sep 17, 2020
Ashish Sharma, Adam S. Miner, David C. Atkins, Tim Althoff

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* Accepted for publication at EMNLP 2020 

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Embedding-based Retrieval in Facebook Search


Jul 29, 2020
Jui-Ting Huang, Ashish Sharma, Shuying Sun, Li Xia, David Zhang, Philip Pronin, Janani Padmanabhan, Giuseppe Ottaviano, Linjun Yang

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* 9 pages, 3 figures, 3 tables, to be published in KDD '20 

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Developing and Deploying Machine Learning Pipelines against Real-Time Image Streams from the PACS


Apr 20, 2020
Pradeeban Kathiravelu, Ashish Sharma, Saptarshi Purkayastha, Priyanshu Sinha, Alexandre Cadrin-Chenevert, Imon Banerjee, Judy Wawira Gichoya

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* Preprint submitted to Machine Learning for Healthcare 2020 (under review) 

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DeepAISE -- An End-to-End Development and Deployment of a Recurrent Neural Survival Model for Early Prediction of Sepsis


Aug 10, 2019
Supreeth P. Shashikumar, Christopher Josef, Ashish Sharma, Shamim Nemati

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Utilizing Automated Breast Cancer Detection to Identify Spatial Distributions of Tumor Infiltrating Lymphocytes in Invasive Breast Cancer


May 29, 2019
Han Le, Rajarsi Gupta, Le Hou, Shahira Abousamra, Danielle Fassler, Tahsin Kurc, Dimitris Samaras, Rebecca Batiste, Tianhao Zhao, Alison L. Van Dyke, Ashish Sharma, Erich Bremer, Jonas S. Almeida, Joel Saltz

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* Nature Scientific Reports Submission 

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