Omobayode Fagbohungbe

18 papers B 2C 1Journal 15

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	Analog Foundation Models. CoRR Julian Büchel, Iason Chalas, Giovanni Acampa, An Chen, Omobayode Fagbohungbe, Sidney Tsai, Kaoutar El Maghraoui, Manuel Le Gallo, Abbas Rahimi, Abu Sebastian
2025	J	`jnl`	Analog In-memory Training on General Non-ideal Resistive Elements: The Impact of Response Functions. CoRR Zhaoxian Wu, Quan Xiao, Tayfun Gokmen, Omobayode Fagbohungbe, Tianyi Chen
2025	C	`conf`	Assessing the Performance of Analog Training for Transfer Learning. ISCAS Omobayode Fagbohungbe, Corey Lammie, Malte J. Rasch, Takashi Ando, Tayfun Gokmen, Vijay Narayanan
2025	J	`jnl`	Assessing the Performance of Analog Training for Transfer Learning. CoRR Omobayode Fagbohungbe, Corey Lammie, Malte J. Rasch, Takashi Ando, Tayfun Gokmen, Vijay Narayanan
2025	J	`jnl`	Assessing the Performance of Analog Training for Transfer Learning. IEEE Trans. Circuits Syst. II Express Briefs Omobayode Fagbohungbe, Corey Lammie, Malte J. Rasch, Takashi Ando, Tayfun Gokmen, Vijay Narayanan
2023	J	`jnl`	Fast offset corrected in-memory training. CoRR Malte J. Rasch, Fabio Carta, Omobayode Fagbohungbe, Tayfun Gokmen
2023	J	`jnl`	Using the IBM Analog In-Memory Hardware Acceleration Kit for Neural Network Training and Inference. CoRR Manuel Le Gallo, Corey Lammie, Julian Büchel, Fabio Carta, Omobayode Fagbohungbe, Charles Mackin, Hsinyu Tsai, Vijay Narayanan, Abu Sebastian, Kaoutar El Maghraoui, Malte J. Rasch
2022	J	`jnl`	A Joint Energy and Latency Framework for Transfer Learning Over 5G Industrial Edge Networks. IEEE Trans. Ind. Informatics Bo Yang, Omobayode Fagbohungbe, Xuelin Cao, Chau Yuen, Lijun Qian, Dusit Niyato, Yan Zhang
2022	J	`jnl`	Effect of Batch Normalization on Noise Resistant Property of Deep Learning Models. CoRR Omobayode Fagbohungbe, Lijun Qian
2022	J	`jnl`	Efficient Privacy Preserving Edge Intelligent Computing Framework for Image Classification in IoT. IEEE Trans. Emerg. Top. Comput. Intell. Omobayode Fagbohungbe, Sheikh Rufsan Reza, Xishuang Dong, Lijun Qian
2022	B	`conf`	Impact of L1 Batch Normalization on Analog Noise Resistant Property of Deep Learning Models. IJCNN Omobayode Fagbohungbe, Lijun Qian
2022	J	`jnl`	Impact of L1 Batch Normalization on Analog Noise Resistant Property of Deep Learning Models. CoRR Omobayode Fagbohungbe, Lijun Qian
2022	J	`jnl`	Impact of Learning Rate on Noise Resistant Property of Deep Learning Models. CoRR Omobayode Fagbohungbe, Lijun Qian
2022	J	`jnl`	The Effect of Batch Normalization on Noise Resistant Property of Deep Learning Models. IEEE Access Omobayode Fagbohungbe, Lijun Qian
2021	J	`jnl`	A Joint Energy and Latency Framework for Transfer Learning over 5G Industrial Edge Networks. CoRR Bo Yang, Omobayode Fagbohungbe, Xuelin Cao, Chau Yuen, Lijun Qian, Dusit Niyato, Yan Zhang
2021	B	`conf`	Benchmarking Inference Performance of Deep Learning Models on Analog Devices. IJCNN Omobayode Fagbohungbe, Lijun Qian
2020	J	`jnl`	Benchmarking Inference Performance of Deep Learning Models on Analog Devices. CoRR Omobayode Fagbohungbe, Lijun Qian
2020	J	`jnl`	Efficient Privacy Preserving Edge Computing Framework for Image Classification. CoRR Omobayode Fagbohungbe, Sheikh Rufsan Reza, Xishuang Dong, Lijun Qian