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2020 – today
- 2023
[c4]Nicholas Meisburger, Vihan Lakshman
, Benito Geordie, Joshua Engels, David Torres Ramos, Pratik Pranav, Benjamin Coleman, Benjamin Meisburger, Shubh Gupta, Yashwanth Adunukota, Siddharth Jain, Tharun Medini, Anshumali Shrivastava:
BOLT: An Automated Deep Learning Framework for Training and Deploying Large-Scale Search and Recommendation Models on Commodity CPU Hardware. CIKM 2023: 4738-4744- [c3]Matthew Weidner, Ria Pradeep, Benito Geordie, Heather Miller:
For-Each Operations in Collaborative Apps. PaPoC@EuroSys 2023: 56-62 - [c2]Anshumali Shrivastava, Vihan Lakshman, Tharun Medini, Nicholas Meisburger, Joshua Engels, David Torres Ramos, Benito Geordie, Pratik Pranav, Shubh Gupta, Yashwanth Adunukota, Siddharth Jain:
From Research to Production: Towards Scalable and Sustainable Neural Recommendation Models on Commodity CPU Hardware. RecSys 2023: 1071-1074 - [i4]Nicholas Meisburger, Vihan Lakshman, Benito Geordie, Joshua Engels, David Torres Ramos, Pratik Pranav, Benjamin Coleman, Benjamin Meisburger, Shubh Gupta, Yashwanth Adunukota, Tharun Medini, Anshumali Shrivastava:
BOLT: An Automated Deep Learning Framework for Training and Deploying Large-Scale Neural Networks on Commodity CPU Hardware. CoRR abs/2303.17727 (2023) - [i3]Matthew Weidner, Ria Pradeep, Benito Geordie, Heather Miller:
For-Each Operations in Collaborative Apps. CoRR abs/2304.03141 (2023) - [i2]Shabnam Daghaghi, Benjamin Coleman, Benito Geordie, Anshumali Shrivastava:
Adaptive Sampling for Deep Learning via Efficient Nonparametric Proxies. CoRR abs/2311.13583 (2023) - 2022
- [c1]Benjamin Coleman, Benito Geordie, Li Chou, Ryan A. Leo Elworth, Todd J. Treangen, Anshumali Shrivastava:
One-Pass Diversified Sampling with Application to Terabyte-Scale Genomic Sequence Streams. ICML 2022: 4202-4218 - [i1]Matthew Weidner, Heather Miller, Huairui Qi, Maxime Kjaer, Ria Pradeep, Benito Geordie, Christopher Meiklejohn:
Collabs: Composable Collaborative Data Structures. CoRR abs/2212.02618 (2022)
Coauthor Index
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