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Olivia Weng
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2020 – today
- 2025
- [c6]Olivia Weng
, Marta Andronic
Greater than the Sum of its LUTs: Scaling Up LUT-based Neural Networks with AmigoLUT. FPGA 2025: 25-35 - [i9]Tommaso Baldi, Javier Campos, Olivia Weng, Caleb Geniesse, Nhan Tran, Ryan Kastner, Alessandro Biondi:
Loss Landscape Analysis for Reliable Quantized ML Models for Scientific Sensing. CoRR abs/2502.08355 (2025) - 2024
- [j2]Olivia Weng
Tailor: Altering Skip Connections for Resource-Efficient Inference. ACM Trans. Reconfigurable Technol. Syst. 17(1): 11:1-11:23 (2024) - [j1]Colin Drewes
Turn on, Tune in, and Listen up: Maximizing Side-Channel Recovery in Cross-Platform Time-to-Digital Converters. ACM Trans. Reconfigurable Technol. Syst. 17(3): 49:1-49:30 (2024) - [c5]Colin Drewes
Pentimento: Data Remanence in Cloud FPGAs. ASPLOS (2) 2024: 862-878 - [c4]Tommaso Baldi
Reliable edge machine learning hardware for scientific applications. VTS 2024: 1-5 - [i8]Olivia Weng, Alexander Redding, Nhan Tran, Javier Mauricio Duarte, Ryan Kastner:
Architectural Implications of Neural Network Inference for High Data-Rate, Low-Latency Scientific Applications. CoRR abs/2403.08980 (2024) - [i7]Tommaso Baldi, Javier Campos, Benjamin Hawks, Jennifer Ngadiuba, Nhan Tran, Daniel Diaz, Javier M. Duarte, Ryan Kastner, Andres Meza, Melissa Quinnan, Olivia Weng, Caleb Geniesse, Amir Gholami, Michael W. Mahoney, Vladimir Loncar, Philip C. Harris, Joshua Agar, Shuyu Qin:
Reliable edge machine learning hardware for scientific applications. CoRR abs/2406.19522 (2024) - 2023
- [c3]Colin Drewes
Turn on, Tune in, Listen up: Maximizing Side-Channel Recovery in Time-to-Digital Converters. FPGA 2023: 111-122 - [c2]Olivia Weng
Adapting Skip Connections for Resource-Efficient FPGA Inference. FPGA 2023: 229 - [i6]Olivia Weng, Gabriel Marcano, Vladimir Loncar, Alireza Khodamoradi, Nojan Sheybani, Farinaz Koushanfar, Kristof Denolf, Javier Mauricio Duarte, Ryan Kastner:
Tailor: Altering Skip Connections for Resource-Efficient Inference. CoRR abs/2301.07247 (2023) - [i5]Colin Drewes, Olivia Weng, Andres Meza, Alric Althoff, David Kohlbrenner, Ryan Kastner, Dustin Richmond:
Pentimento: Data Remanence in Cloud FPGAs. CoRR abs/2303.17881 (2023) - 2022
- [i4]Hendrik Borras
Open-source FPGA-ML codesign for the MLPerf Tiny Benchmark. CoRR abs/2206.11791 (2022) - 2021
- [c1]Colin Drewes, Steven Harris, Winnie Wang, Richard Appen, Olivia Weng, Ryan Kastner
A Tunable Dual-Edge Time-to-Digital Converter. FCCM 2021: 253 - [i3]Olivia Weng, Alireza Khodamoradi, Ryan Kastner:
Hardware-efficient Residual Networks for FPGAs. CoRR abs/2102.01351 (2021) - [i2]Allison McCarn Deiana, Nhan Tran, Joshua Agar, Michaela Blott, Giuseppe Di Guglielmo, Javier M. Duarte
Applications and Techniques for Fast Machine Learning in Science. CoRR abs/2110.13041 (2021) - [i1]Olivia Weng:
Neural Network Quantization for Efficient Inference: A Survey. CoRR abs/2112.06126 (2021)
Coauthor Index
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