Design space exploration of FPGA-based Deep Convolutional Neural Networks. - Mohammad Motamedi; Philipp Gysel; Venkatesh Akella; Soheil Ghiasi (ASP-DAC, 2016)

Ristretto: Hardware-Oriented Approximation of Convolutional Neural Networks. - Philipp Gysel (CoRR, 2016)

Hardware-oriented Approximation of Convolutional Neural Networks. - Philipp Gysel; Mohammad Motamedi; Soheil Ghiasi (CoRR, 2016)

PLACID: A Platform for FPGA-Based Accelerator Creation for DCNNs. - Mohammad Motamedi; Philipp Gysel; Soheil Ghiasi (ACM Trans. Multim. Comput. Commun. Appl., 2017)

Ristretto: A Framework for Empirical Study of Resource-Efficient Inference in Convolutional Neural Networks. - Philipp Gysel; Jon J. Pimentel; Mohammad Motamedi; Soheil Ghiasi (IEEE Trans. Neural Networks Learn. Syst., 2018)

EAGLEEYE: Attention to Unveil Malicious Event Sequences From Provenance Graphs. - Philipp Gysel; Candid Wüest; Kenneth Nwafor; Otakar Jasek; Andrey Ustyuzhanin; Dinil Mon Divakaran (eCrime, 2024)

ZEST: Attention-based Zero-Shot Learning for Unseen IoT Device Classification. - Binghui Wu; Philipp Gysel; Dinil Mon Divakaran; Mohan Gurusamy (NOMS, 2024)