Tyler M. Tomita

11 papers A 2Journal 9
YearRankTypeTitle / Venue / Authors
2025 J jnl
Simple Lifelong Learning Machines.
IEEE Trans. Pattern Anal. Mach. Intell.
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
2023 J jnl
Manifold Oblique Random Forests: Towards Closing the Gap on Convolutional Deep Networks.
SIAM J. Math. Data Sci.
Adam Li, Ronan Perry, Chester Huynh, Tyler M. Tomita, Ronak Mehta, Jesús Arroyo, Jesse Patsolic, Benjamin Falk, Sridevi V. Sarma, Joshua T. Vogelstein
2022 J jnl
Prospective Learning: Back to the Future.
CoRR
Joshua T. Vogelstein, Timothy D. 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, Adam S. Charles, Noah J. Cowan, Maxim Bichuch, Archana Venkataraman, Chen Li, Nitish V. Thakor, Justus M. Kebschull, Marilyn S. Albert, Jinchong Xu, Marshall G. Hussain Shuler, Brian Caffo, J. Tilak Ratnanather, Ali Geisa, Seung-Eon Roh, Eva Yezerets, Meghana Madhyastha, Javier J. How, Tyler M. Tomita, Jayanta Dey, Ningyuan Huang, Jong M. Shin, Kaleab Alemayehu Kinfu, Pratik Chaudhari, Ben Baker, Anna Schapiro, Dinesh Jayaraman, Eric Eaton, Michael L. Platt, Lyle H. Ungar, Leila Wehbe, Ádám Kepecs, Amy Christensen, Onyema Osuagwu, Bing Brunton, Brett Mensh, Alysson R. Muotri, Gabriel A. Silva, Francesca Puppo, Florian Engert, Elizabeth Hillman, Julia Brown, Chris White, Weiwei Yang
2020 J jnl
Robust Similarity and Distance Learning via Decision Forests.
CoRR
Tyler M. Tomita, Joshua T. Vogelstein
2020 J jnl
Sparse Projection Oblique Randomer Forests.
J. Mach. Learn. Res.
Tyler M. Tomita, James Browne, Cencheng Shen, Jaewon Chung, Jesse Patsolic, Benjamin Falk, Carey E. Priebe, Jason Yim, Randal C. Burns, Mauro Maggioni, Joshua T. Vogelstein
2019 A conf
Forest Packing: Fast Parallel, Decision Forests.
SDM
James Browne, Disa Mhembere, Tyler M. Tomita, Joshua T. Vogelstein, Randal C. Burns
2019 J jnl
Manifold Forests: Closing the Gap on Neural Networks.
CoRR
Ronan Perry, Tyler M. Tomita, Jesse Patsolic, Benjamin Falk, Joshua T. Vogelstein
2018 J jnl
Forest Packing: Fast, Parallel Decision Forests.
CoRR
James Browne, Tyler M. Tomita, Disa Mhembere, Randal C. Burns, Joshua T. Vogelstein
2017 J jnl
A novel approach for selecting combination clinical markers of pathology applied to a large retrospective cohort of surgically resected pancreatic cysts.
J. Am. Medical Informatics Assoc.
David L. Masica, Marco Dal Molin, Christopher L. Wolfgang, Tyler M. Tomita, Mohammad R. Ostovaneh, Amanda Blackford, Robert A. Moran, Joanna K. Law, Thomas Barkley, Michael Goggins, Marcia Irene Canto, Meredith E. Pittman, James R. Eshleman, Syed Z. Ali, Elliot K. Fishman, Ihab R. Kamel, Siva P. Raman, Atif K. Zaheer, Nita Ahuja, Martin A. Makary, Matthew J. Weiss, Kenzo Hirose, John L. Cameron, Neda Rezaee, Jin He, Young Joon Ahn, Wenchuan Wu, Yuxuan Wang, Simeon Springer, Luis L. Diaz Jr., Nickolas Papadopoulos, Ralph H. Hruban, Kenneth W. Kinzler, Bert Vogelstein, Rachel Karchin, Anne Marie Lennon
2017 A conf
ROFLMAO: Robust Oblique Forests with Linear MAtrix Operations.
SDM
Tyler M. Tomita, Mauro Maggioni, Joshua T. Vogelstein
2015 J jnl
Randomer Forests.
CoRR
Tyler M. Tomita, Mauro Maggioni, Joshua T. Vogelstein