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Martin Foltin
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2020 – today
- 2024
- [j3]Ann Mary Justine Koomthanam
, Aalap Tripathy
Common Metadata Framework: Integrated Framework for Trustworthy Artificial Intelligence Pipelines. IEEE Internet Comput. 28(3): 37-44 (2024) - [c12]Ashish Mishra
LLM-Guided Counterfactual Data Generation for Fairer AI. WWW (Companion Volume) 2024: 1538-1545 - 2023
- [j2]Revathy Venkataramanan, Aalap Tripathy
Knowledge Graph Empowered Machine Learning Pipelines for Improved Efficiency, Reusability, and Explainability. IEEE Internet Comput. 27(1): 81-88 (2023) - [c11]Yeonju Ro, Cong Xu, Agnieszka Ciborowska, Suparna Bhattacharya, Frankie Li, Martin Foltin:
Dataset Efficient Training with Model Ensembling. CVPR Workshops 2023: 4700-4704 - [c10]Gayathri Saranathan
Towards Rapid Autonomous Electron Microscopy with Active Meta-Learning. SC Workshops 2023: 81-87 - [i5]Rafael Ferreira da Silva, Rosa M. Badia, Venkat Bala, Debbie Bard, Peer-Timo Bremer, Ian Buckley, Silvina Caíno-Lores, Kyle Chard, Carole A. Goble, Shantenu Jha, Daniel S. Katz, Daniel E. Laney, Manish Parashar, Frédéric Suter, Nick Tyler, Thomas D. Uram, Ilkay Altintas, Stefan Andersson, William Arndt, Juan Aznar, Jonathan Bader, Bartosz Balis, Chris Blanton, Kelly Rosa Braghetto, Aharon Brodutch, Paul Brunk, Henri Casanova, Alba Cervera-Lierta, Justin Chigu, Tainã Coleman, Nick Collier, Iacopo Colonnelli, Frederik Coppens, Michael R. Crusoe, Will Cunningham, Bruno de Paula Kinoshita, Paolo Di Tommaso, Charles M. Doutriaux, Matthew Downton, Wael R. Elwasif, Bjoern Enders, Chris Erdmann, Thomas Fahringer, Ludmilla Figueiredo, Rosa Filgueira, Martin Foltin, Anne Fouilloux, Luiz Gadelha, Andy Gallo, Artur García-Sáez, et al.:
Workflows Community Summit 2022: A Roadmap Revolution. CoRR abs/2304.00019 (2023) - [i4]Giacomo Pedretti, John Moon, Pedro Bruel, Sergey Serebryakov, Ron M. Roth, Luca Buonanno, Tobias Ziegler, Cong Xu, Martin Foltin, Paolo Faraboschi, Jim Ignowski, Catherine E. Graves:
X-TIME: An in-memory engine for accelerating machine learning on tabular data with CAMs. CoRR abs/2304.01285 (2023) - 2022
- [c9]Annmary Justine
Self-learning Data Foundation for Scientific AI. SMC 2022: 20-37 - 2021
- [c8]Cong Xu, Suparna Bhattacharya, Martin Foltin, Suren Byna
Data-Aware Storage Tiering for Deep Learning. PDSW@SC 2021: 23-28 - [i3]Giacomo Pedretti, Catherine E. Graves, Can Li, Sergey Serebryakov, Xia Sheng, Martin Foltin, Ruibin Mao, John Paul Strachan:
Tree-based machine learning performed in-memory with memristive analog CAM. CoRR abs/2103.08986 (2021) - 2020
- [j1]Aayush Ankit
PANTHER: A Programmable Architecture for Neural Network Training Harnessing Energy-Efficient ReRAM. IEEE Trans. Computers 69(8): 1128-1142 (2020)
2010 – 2019
- 2019
- [c7]Aayush Ankit, Izzat El Hajj, Sai Rahul Chalamalasetti, Geoffrey Ndu, Martin Foltin, R. Stanley Williams
PUMA: A Programmable Ultra-efficient Memristor-based Accelerator for Machine Learning Inference. ASPLOS 2019: 715-731 - [c6]Martin Foltin, Glaucimar Aguiar, Rodrigo Antunes, Plínio Silveira
FPGA Demonstrator of a Programmable Ultra-Efficient Memristor-Based Machine Learning Inference Accelerator. ICRC 2019: 44-53 - [i2]Aayush Ankit, Izzat El Hajj, Sai Rahul Chalamalasetti, Geoffrey Ndu, Martin Foltin, R. Stanley Williams, Paolo Faraboschi, Wen-Mei Hwu, John Paul Strachan, Kaushik Roy, Dejan S. Milojicic:
PUMA: A Programmable Ultra-efficient Memristor-based Accelerator for Machine Learning Inference. CoRR abs/1901.10351 (2019) - [i1]Aayush Ankit, Izzat El Hajj, Sai Rahul Chalamalasetti, Sapan Agarwal, Matthew J. Marinella, Martin Foltin, John Paul Strachan, Dejan S. Milojicic, Wen-Mei W. Hwu, Kaushik Roy:
PANTHER: A Programmable Architecture for Neural Network Training Harnessing Energy-efficient ReRAM. CoRR abs/1912.11516 (2019) - 2018
- [c5]Joao Ambrosi, Aayush Ankit, Rodrigo Antunes, Sai Rahul Chalamalasetti, Soumitra Chatterjee, Izzat El Hajj, Guilherme Fachini, Paolo Faraboschi, Martin Foltin, Sitao Huang, Wen-Mei Hwu, Gustavo Knuppe, Sunil Vishwanathpur Lakshminarasimha, Dejan S. Milojicic
Hardware-Software Co-Design for an Analog-Digital Accelerator for Machine Learning. ICRC 2018: 1-13 - [c4]Catherine E. Graves, Wen Ma, Xia Sheng, Brent Buchanan, Le Zheng, Sity Lam, Xuema Li, Sai Rahul Chalamalasetti, Lennie Kiyama, Martin Foltin, Matthew P. Hardy, John Paul Strachan:
Regular Expression Matching with Memristor TCAMs. ICRC 2018: 1-11 - [c3]Catherine E. Graves, Wen Ma, Xia Sheng, Brent Buchanan, Le Zheng, Sity Lam, Xuema Li, Sai Rahul Chalamalasetti, Lennie Kiyama, Martin Foltin, John Paul Strachan, Matthew P. Hardy:
Regular Expression Matching with Memristor TCAMs for Network Security. NANOARCH 2018: 65-71
2000 – 2009
- 2002
- [c2]Martin Foltin, Brian Foutz, Sean Tyler:
Efficient stimulus independent timing abstraction model based on a new concept of circuit block transparency. DAC 2002: 158-163 - [c1]Ivan Sekaj, Martin Foltin, Michal Gonos:
Genetic Algorithm Based Adaptive Control Of An Electromechanical MIMO System. GECCO 2002: 696
Coauthor Index
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