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ORCIDMeghana Madhyastha
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2020 – today
- 2024
[c8]Robert Underwood
, Meghana Madhyastha, Randal C. Burns, Bogdan Nicolae:
EvoStore: Towards Scalable Storage of Evolving Learning Models. HPDC 2024: 148-159- [c7]Meghana Madhyastha, Tamas Budavari, Vladimir Braverman, Joshua T. Vogelstein, Randal C. Burns:
T-Rex (Tree-Rectangles): Reformulating Decision Tree Traversal as Hyperrectangle Enclosure. ICDE 2024: 1792-1804 - [i6]Brian Wheatman, Meghana Madhyastha, Randal C. Burns:
Masked Matrix Multiplication for Emergent Sparsity. CoRR abs/2402.14118 (2024) - 2023
- [c6]Robert Underwood, Meghana Madhyastha, Randal C. Burns, Bogdan Nicolae:
Understanding Patterns of Deep Learning Model Evolution in Network Architecture Search. HiPC 2023: 97-106 - [c5]Meghana Madhyastha, Robert Underwood, Randal C. Burns, Bogdan Nicolae:
DStore: A Lightweight Scalable Learning Model Repository with Fine-Grain Tensor-Level Access. ICS 2023: 133-143 - [i5]Robert Underwood, Meghana Madhyastha, Randal C. Burns, Bogdan Nicolae:
Understanding Patterns of Deep Learning ModelEvolution in Network Architecture Search. CoRR abs/2309.12576 (2023) - 2022
- [i4]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 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 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:
Prospective Learning: Back to the Future. CoRR abs/2201.07372 (2022) - 2021
- [c4]Meghana Madhyastha, Kunal Lillaney, James Browne, Joshua T. Vogelstein, Randal C. Burns:
BLOCKSET (Block-Aligned Serialized Trees): Reducing Inference Latency for Tree ensemble Deployment. KDD 2021: 1170-1179 - 2020
- [c3]Meghana Madhyastha, Gongkai Li, Veronika Strnadová-Neeley, James Browne, Joshua T. Vogelstein, Randal C. Burns, Carey E. Priebe:
Geodesic Forests. KDD 2020: 513-523 - [i3]Meghana Madhyastha, Kunal Lillaney, James Browne, Joshua T. Vogelstein, Randal C. Burns:
PACSET (Packed Serialized Trees): Reducing Inference Latency for Tree Ensemble Deployment. CoRR abs/2011.05383 (2020)
2010 – 2019
- 2019
- [c2]Sudeshna Roy, Meghana Madhyastha, Sheril Lawrence, Vaibhav Rajan:
Inferring Concept Prerequisite Relations from Online Educational Resources. AAAI 2019: 9589-9594 - [i2]Meghana Madhyastha, Percy Li, James Browne, Veronika Strnadová-Neeley, Carey E. Priebe, Randal C. Burns, Joshua T. Vogelstein:
Geodesic Learning via Unsupervised Decision Forests. CoRR abs/1907.02844 (2019) - 2018
- [i1]Sudeshna Roy, Meghana Madhyastha, Sheril Lawrence, Vaibhav Rajan:
Inferring Concept Prerequisite Relations from Online Educational Resources. CoRR abs/1811.12640 (2018) - 2017
- [c1]Meghana Madhyastha, Sriveda Chevuru Reddy, Shrisha Rao:
Online scheduling of a fleet of autonomous vehicles using agent-based procurement auctions. SOLI 2017: 114-120
Coauthor Index
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