Ann Franchesca Laguna

According to our database, Ann Franchesca Laguna authored at least 26 papers between 2014 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Design of High-Performance and Compact CAM for Supporting Data-Intensive Applications.

Liu Liu, Ann Franchesca Laguna, Michael T. Niemier, Xiaobo Sharon Hu

Proceedings of the IEEE International Symposium on Circuits and Systems, 2024

Designing a Lightweight Convolutional Neural Network for Camouflaged Object Detection.

Mark Edward M. Gonzales, Hans Oswald A. Ibrahim, Elyssia Barrie H. Ong, Ann Franchesca B. Laguna

Proceedings of the 48th IEEE Annual Computers, Software, and Applications Conference, 2024

2023

A Reconfigurable FeFET Content Addressable Memory for Multi-State Hamming Distance.

Liu Liu, Ann Franchesca Laguna, Ramin Rajaei, Mohammad Mehdi Sharifi, Arman Kazemi, Xunzhao Yin, Michael T. Niemier, Xiaobo Sharon Hu

IEEE Trans. Circuits Syst. I Regul. Pap., 2023

Invited Paper: Algorithm/Hardware Co-Design for Few-Shot Learning at the Edge.

Ann Franchesca Laguna, Mohammad Mehdi Sharifi, Dayane Reis, Liu Liu, Andrew Hennessee, Clayton O'Dell, Ian O'Connor, Michael T. Niemier, X. Sharon Hu

Proceedings of the IEEE/ACM International Conference on Computer Aided Design, 2023

Development of a Computer Vision-Based Road Physical Feature Extraction.

Juliana Marie Agulto, Yeohan Lorenzo Noroña, Gian Carlo Gutierrez, Eric Benabaye, Geanne Franco, Ann Franchesca Laguna, Jocelynn Cu, Joel Ilao, Macario O. Cordel II

Proceedings of the IEEE International Conference on Big Data, 2023

In-Memory Computing Accelerators for Emerging Learning Paradigms.

Dayane Reis, Ann Franchesca Laguna, Michael T. Niemier, Xiaobo Sharon Hu

Proceedings of the 28th Asia and South Pacific Design Automation Conference, 2023

2022

FeFET Multi-Bit Content-Addressable Memories for In-Memory Nearest Neighbor Search.

Arman Kazemi, Mohammad Mehdi Sharifi, Ann Franchesca Laguna, Franz Müller, Xunzhao Yin, Thomas Kämpfe, Michael T. Niemier, X. Sharon Hu

IEEE Trans. Computers, 2022

Experimentally realized memristive memory augmented neural network.

Ruibin Mao, Bo Wen, Yahui Zhao, Arman Kazemi, Ann Franchesca Laguna, Michael T. Niemier, X. Sharon Hu, Xia Sheng, Catherine E. Graves, John Paul Strachan, Can Li

CoRR, 2022

COSIME: FeFET Based Associative Memory for In-Memory Cosine Similarity Search.

Che-Kai Liu, Haobang Chen, Mohsen Imani, Kai Ni, Arman Kazemi, Ann Franchesca Laguna, Michael T. Niemier, Xiaobo Sharon Hu, Liang Zhao, Cheng Zhuo, Xunzhao Yin

Proceedings of the 41st IEEE/ACM International Conference on Computer-Aided Design, 2022

Associative Memory Based Experience Replay for Deep Reinforcement Learning.

Mengyuan Li, Arman Kazemi, Ann Franchesca Laguna, X. Sharon Hu

Proceedings of the 41st IEEE/ACM International Conference on Computer-Aided Design, 2022

iMARS: an in-memory-computing architecture for recommendation systems.

Mengyuan Li, Ann Franchesca Laguna, Dayane Reis, Xunzhao Yin, Michael T. Niemier, X. Sharon Hu

Proceedings of the DAC '22: 59th ACM/IEEE Design Automation Conference, San Francisco, California, USA, July 10, 2022

2021

Deep Random Forest with Ferroelectric Analog Content Addressable Memory.

Xunzhao Yin, Franz Müller, Ann Franchesca Laguna, Chao Li, Wenwen Ye, Qingrong Huang, Qinming Zhang, Zhiguo Shi, Maximilian Lederer, Nellie Laleni, Shan Deng, Zijian Zhao, Michael T. Niemier, Xiaobo Sharon Hu, Cheng Zhuo, Thomas Kämpfe, Kai Ni

CoRR, 2021

ICCAD Tutorial Session Paper Ferroelectric FET Technology and Applications: From Devices to Systems.

Hussam Amrouch, Di Gao, Xiaobo Sharon Hu, Arman Kazemi, Ann Franchesca Laguna, Kai Ni, Michael T. Niemier, Mohammad Mehdi Sharifi, Simon Thomann, Xunzhao Yin, Cheng Zhuo

Proceedings of the IEEE/ACM International Conference On Computer Aided Design, 2021

Exploiting FeFETs via Cross-Layer Design from In-memory Computing Circuits to Meta-Learning Applications.

Dayane Reis, Ann Franchesca Laguna, Michael T. Niemier, Xiaobo Sharon Hu

Proceedings of the Design, Automation & Test in Europe Conference & Exhibition, 2021

In-Memory Computing based Accelerator for Transformer Networks for Long Sequences.

Ann Franchesca Laguna, Arman Kazemi, Michael T. Niemier, X. Sharon Hu

Proceedings of the Design, Automation & Test in Europe Conference & Exhibition, 2021

In-Memory Nearest Neighbor Search with FeFET Multi-Bit Content-Addressable Memories.

Arman Kazemi, Mohammad Mehdi Sharifi, Ann Franchesca Laguna, Franz Müller, Ramin Rajaei, Ricardo Olivo, Thomas Kämpfe, Michael T. Niemier, X. Sharon Hu

Proceedings of the Design, Automation & Test in Europe Conference & Exhibition, 2021

Attention-in-Memory for Few-Shot Learning with Configurable Ferroelectric FET Arrays.

Dayane Reis, Ann Franchesca Laguna, Michael T. Niemier, Xiaobo Sharon Hu

Proceedings of the ASPDAC '21: 26th Asia and South Pacific Design Automation Conference, 2021

Cross-layer Design for Computing-in-Memory: From Devices, Circuits, to Architectures and Applications.

Hussam Amrouch, Xiaobo Sharon Hu, Mohsen Imani, Ann Franchesca Laguna, Michael T. Niemier, Simon Thomann, Xunzhao Yin, Cheng Zhuo

Proceedings of the ASPDAC '21: 26th Asia and South Pacific Design Automation Conference, 2021

2020

The Impact of Ferroelectric FETs on Digital and Analog Circuits and Architectures.

Xiaoming Chen, Kai Ni, Michael T. Niemier, Dayane Reis, Xiaoyu Sun, Panni Wang, Suman Datta, Xiaobo Sharon Hu, Xunzhao Yin, Matthew Jerry, Shimeng Yu, Ann Franchesca Laguna

IEEE Des. Test, 2020

Seed-and-Vote based In-Memory Accelerator for DNA Read Mapping.

Ann Franchesca Laguna, Hasindu Gamaarachchi, Xunzhao Yin, Michael T. Niemier, Sri Parameswaran, Xiaobo Sharon Hu

Proceedings of the IEEE/ACM International Conference On Computer Aided Design, 2020

A Fast and Energy Efficient Computing-in-Memory Architecture for Few-Shot Learning Applications.

Dayane Reis, Ann Franchesca Laguna, Michael T. Niemier, Xiaobo Sharon Hu

Proceedings of the 2020 Design, Automation & Test in Europe Conference & Exhibition, 2020

Emerging Neural Workloads and Their Impact on Hardware.

David Brooks, Martin M. Frank, Tayfun Gokmen, Udit Gupta, Xiaobo Sharon Hu, Shubham Jain, Ann Franchesca Laguna, Michael T. Niemier, Ian O'Connor, Anand Raghunathan, Ashish Ranjan, Dayane Reis, Jacob R. Stevens, Carole-Jean Wu, Xunzhao Yin

Proceedings of the 2020 Design, Automation & Test in Europe Conference & Exhibition, 2020

2019

Ferroelectric FET Based In-Memory Computing for Few-Shot Learning.

Ann Franchesca Laguna, Xunzhao Yin, Dayane Alfenas Reis, Michael T. Niemier, Xiaobo Sharon Hu

Proceedings of the 2019 on Great Lakes Symposium on VLSI, 2019

Design of Hardware-Friendly Memory Enhanced Neural Networks.

Ann Franchesca Laguna, Michael T. Niemier, Xiaobo Sharon Hu

Proceedings of the Design, Automation & Test in Europe Conference & Exhibition, 2019

2017

Vsion: Vehicle Occlusion Handling for Traffic Monitoring.

Reneé Dominique M. Castillo, Mima Maiden B. Tejada, Macario O. Cordel II, Ann Franchesca B. Laguna, Joel P. Ilao

Proceedings of the International Conference on Video and Image Processing, 2017

2014

Open Domain Continuous Filipino Speech Recognition: Challenges and Baseline Experiments.

Federico Ang, Rowena Cristina L. Guevara, Yoshikazu Miyanaga, Rhandley Domingo Cajote, Joel P. Ilao, Michael Gringo Angelo Bayona, Ann Franchesca Laguna

IEICE Trans. Inf. Syst., 2014