Yigit Demirag

According to our database, Yigit Demirag authored at least 9 papers between 2020 and 2024.

Collaborative distances:

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

2024

Analog Alchemy: Neural Computation with In-Memory Inference, Learning and Routing.

Yigit Demirag

CoRR, 2024

Hardware-aware Few-shot Learning on a Memristor-based Small-world Architecture.

Karthik Charan Raghunathan, Yigit Demirag, Emre Neftci, Melika Payvand

Proceedings of the Neuro Inspired Computational Elements Conference, 2024

2023

DenRAM: Neuromorphic Dendritic Architecture with RRAM for Efficient Temporal Processing with Delays.

Simone D'Agostino, Filippo Moro, Tristan Torchet, Yigit Demirag, Laurent Grenouillet, Giacomo Indiveri, Elisa Vianello, Melika Payvand

CoRR, 2023

NeuroBench: Advancing Neuromorphic Computing through Collaborative, Fair and Representative Benchmarking.

Jason Yik, Soikat Hasan Ahmed, Zergham Ahmed, Brian Anderson, Andreas G. Andreou, Chiara Bartolozzi, Arindam Basu, Douwe den Blanken, Petrut Bogdan, Sander M. Bohté, Younes Bouhadjar, Sonia M. Buckley, Gert Cauwenberghs, Federico Corradi, Guido de Croon, Andreea Danielescu, Anurag Reddy Daram, Mike Davies, Yigit Demirag, Jason Eshraghian, Jeremy Forest, Steve B. Furber, Michael Furlong, Aditya Gilra, Giacomo Indiveri, Siddharth Joshi, Vedant Karia, Lyes Khacef, James C. Knight, Laura Kriener, Rajkumar Kubendran, Dhireesha Kudithipudi, Gregor Lenz, Rajit Manohar, Christian Mayr, Konstantinos P. Michmizos, Dylan R. Muir, Emre Neftci, Thomas Nowotny, Fabrizio Ottati, Ayça Özcelikkale, Noah Pacik-Nelson, Priyadarshini Panda, Pao-Sheng Sun, Melika Payvand, Christian Pehle, Mihai A. Petrovici, Christoph Posch, Alpha Renner, Yulia Sandamirskaya, Clemens JS Schaefer, André van Schaik, Johannes Schemmel, Catherine D. Schuman, Jae-sun Seo, Sumit Bam Shrestha, Manolis Sifalakis, Amos Sironi, Kenneth Michael Stewart, Terrence C. Stewart, Philipp Stratmann, Guangzhi Tang, Jonathan Timcheck, Marian Verhelst, Craig M. Vineyard, Bernhard Vogginger, Amirreza Yousefzadeh, Biyan Zhou, Fatima Tuz Zohora, Charlotte Frenkel, Vijay Janapa Reddi

CoRR, 2023

Dendritic Computation through Exploiting Resistive Memory as both Delays and Weights.

Melika Payvand, Simone D'Agostino, Filippo Moro, Yigit Demirag, Giacomo Indiveri, Elisa Vianello

Proceedings of the 2023 International Conference on Neuromorphic Systems, 2023

2022

Biologically-inspired training of spiking recurrent neural networks with neuromorphic hardware.

Thomas Bohnstingl, Anja Surina, Maxime Fabre, Yigit Demirag, Charlotte Frenkel, Melika Payvand, Giacomo Indiveri, Angeliki Pantazi

Proceedings of the 4th IEEE International Conference on Artificial Intelligence Circuits and Systems, 2022

2021

Online Training of Spiking Recurrent Neural Networks with Phase-Change Memory Synapses.

Yigit Demirag, Charlotte Frenkel, Melika Payvand, Giacomo Indiveri

CoRR, 2021

PCM-Trace: Scalable Synaptic Eligibility Traces with Resistivity Drift of Phase-Change Materials.

Yigit Demirag, Filippo Moro, Thomas Dalgaty, Gabriele Navarro, Charlotte Frenkel, Giacomo Indiveri, Elisa Vianello, Melika Payvand

Proceedings of the IEEE International Symposium on Circuits and Systems, 2021

2020

Analog Weight Updates with Compliance Current Modulation of Binary ReRAMs for On-Chip Learning.

Melika Payvand, Yigit Demirag, Thomas Dalgaty, Elisa Vianello, Giacomo Indiveri

Proceedings of the IEEE International Symposium on Circuits and Systems, 2020