Jayanta Dey

Postdoc, University of Texas at San Antonio

Joined

May 2022

Names

Jayanta Dey (Preferred)

Emails

****@jhmi.edu (Confirmed)

****@jhu.edu (Confirmed)

****@utsa.edu (Confirmed)

****@gmail.com (Confirmed)

Personal Links

Google Scholar

DBLP

ORCID

Career & Education History

Postdoc

University of Texas at San Antonio (utsa.edu)

2024 – Present

PhD student

Biomedical Engineering, Johns Hopkins University (jhmi.edu)

2019 – 2024

MS student

Electrical and Electronics Engineering, Bangladesh University of Engineering and Technology (buet.ac.bd)

2017 – 2019

Undergrad student

Electrical and Electronics Engineering, Bangladesh University of Engineering and Technology (buet.ac.bd)

2012 – 2016

Advisors, Relations & Conflicts

PhD Advisor

Joshua T. Vogelstein

2019 – 2024

Expertise

Machine Learning

Present

Publications

Simple Lifelong Learning Machines
Joshua T. Vogelstein, Jayanta Dey, Hayden S. Helm, Will LeVine, Ronak D. Mehta, Tyler M. Tomita, Haoyin Xu, Ali Geisa, Qingyang Wang, Gido M. van de Ven, Chenyu Gao, Weiwei Yang, Bryan Tower, Jonathan Larson, Christopher M. White, Carey E. Priebe
- IEEE Transactions on Pattern Analysis and Machine Intelligence
- Readers: Everyone
Statistically valid explainable black-box machine learning: applications in sex classification across species using brain imaging
Tingshan Liu, Jayanta Dey, Beiya Xu, Eric W. Bridgeford, Samuel S Alldritt, Karl-Heinz Nenning, Kyoungseob Byeon, Ting Xu, Joshua T. Vogelstein
- Crossref
- Readers: Everyone
Simple Calibration via Geodesic Kernels
Jayanta Dey, Haoyin Xu, Ashwin De Silva, Joshua T Vogelstein
- Accepted by TMLR
- Readers: Everyone
Learning Continually in Silicon
Nicholas Soures, Jayanta Dey, Dhireesha Kudithipudi
- Computer
- Readers: Everyone
Deep Discriminative to Kernel Density Graph for In- and Out-of-distribution Calibrated Inference
Jayanta Dey, Haoyin Xu, Will LeVine, Ashwin De Silva, Tyler M. Tomita, Ali Geisa, Tiffany Chu, Jacob Maxwell Desman, Joshua T Vogelstein
- Submitted to NeurIPS 2024
- Readers: Everyone
Deep Discriminative to Kernel Generative Networks for Calibrated Inference
Jayanta Dey, Haoyin Xu, Ashwin De Silva, Will LeVine, Tyler M. Tomita, Ali Geisa, Tiffany Chu, Jacob Maxwell Desman, Joshua T Vogelstein
- 13 May 2023
- OpenReview Archive Direct Upload
- Readers: Everyone
Deep Discriminative to Kernel Generative Networks for Calibrated Inference
Jayanta Dey, Haoyin Xu, Ashwin De Silva, Will LeVine, Tyler M. Tomita, Ali Geisa, Tiffany Chu, Jacob Maxwell Desman, Joshua T Vogelstein
- Submitted to NeurIPS 2023
- Readers: Everyone
Prospective Learning: Principled Extrapolation to the Future
Ashwin De Silva, Rahul Ramesh, Lyle H. Ungar, Marshall G. Hussain Shuler, Noah J. Cowan, Michael Platt, Chen Li, Leyla Isik, Seung-Eon Roh, Adam Charles, Archana Venkataraman, Brian Caffo, Javier J. How, Justus M. Kebschull, John W. Krakauer, Maxim Bichuch, Kaleab Alemayehu Kinfu, Eva Yezerets, Dinesh Jayaraman, Jong M. Shin et al. (22 additional authors not shown)
- CoLLAs 2023
- Readers: Everyone
Representation Ensembling for Synergistic Lifelong Learning with Quasilinear Complexity
Jayanta Dey, Joshua Vogelstein, Hayden Helm, Will Levine, Ronak Mehta, Ali Geisa, Haoyin Xu, Gido van de Ven, Emily Chang, Chenyu Gao, Weiwei Yang, Bryan Tower, Jonathan Larson, Christopher White, Carey Priebe
- Crossref
- Readers: Everyone
Prospective Learning: Back to the Future
Joshua T. Vogelstein, Timothy Verstynen, Konrad P. Kording, Leyla Isik, John W. Krakauer, Ralph Etienne-Cummings, Elizabeth L. Ogburn, Carey E. Priebe, Randal C. Burns, Kwame S. Kutten, James J. Knierim, James B. Potash, Thomas Hartung, Lena Smirnova, Paul Worley, Alena V. Savonenko, Ian Phillips, Michael I. Miller, René Vidal, Jeremias Sulam et al. (43 additional authors not shown)
- 2022 (modified: 27 Feb 2022)
- CoRR 2022
- Readers: Everyone

View all 20 publications

Co-Authors

View all 116 co-authors