Stefano Ambrogio

Publication Activity (10 Years)

Years Active: 2014-2024
Publications (10 Years): 25

Top Topics

Statistical Modeling

Top Venues

IEEE J. Emerg. Sel. Topics Circuits Syst.

Publications

Adnan Mehonic, Daniele Ielmini, Kaushik Roy, Onur Mutlu, Shahar Kvatinsky, Teresa Serrano-Gotarredona, Bernabé Linares-Barranco, Sabina Spiga, Sergey Savelev, Alexander G. Balanov, Nitin Chawla, Giuseppe Desoli, Gerardo Malavena, Christian Monzio Compagnoni, Zhongrui Wang, J. Joshua Yang, Syed Ghazi Sarwat, Abu Sebastian, Thomas Mikolajick, Beatriz Noheda, Stefan Slesazeck, Bernard Dieny, Tuo-Hung Hou, Akhil Varri, Frank Brückerhoff-Plückelmann, Wolfram H. P. Pernice, Xixiang Zhang, Sebastian Pazos, Mario Lanza, Stefan Wiefels, Regina Dittmann, Wing H. Ng, Mark Buckwell, Horatio Cox, Daniel J. Mannion, Anthony J. Kenyon, Yingming Lu, Yuchao Yang, Damien Querlioz, Louis Hutin, Elisa Vianello, Sayeed Shafayet Chowdhury, Piergiulio Mannocci, Yimao Cai, Zhong Sun, Giacomo Pedretti, John Paul Strachan, Dmitri B. Strukov, Manuel Le Gallo, Stefano Ambrogio, Ilia Valov, Rainer Waser
Roadmap to Neuromorphic Computing with Emerging Technologies. CoRR (2024)
Prashanth Vijayaraghavan, Luyao Shi, Stefano Ambrogio, Charles Mackin, Apoorva Nitsure, David Beymer, Ehsan Degan
VHDL-Eval: A Framework for Evaluating Large Language Models in VHDL Code Generation. CoRR (2024)
Stefano Ambrogio, Pritish Narayanan, Atsuya Okazaki, Andrea Fasoli, Charles Mackin, Kohji Hosokawa, Akiyo Nomura, Takeo Yasuda, An Chen, Alexander M. Friz, Masatoshi Ishii, Jose Luquin, Yasuteru Kohda, Nicole Saulnier, Kevin Brew, Samuel Choi, Injo Ok, Timothy Philip, Victor Chan, Mary Claire Silvestre, Ishtiaq Ahsan, Vijay Narayanan, Hsinyu Tsai, Geoffrey W. Burr
An analog-AI chip for energy-efficient speech recognition and transcription. Nat. 620 (7975) (2023)
Geoffrey W. Burr, Pritish Narayanan, Stefano Ambrogio, Atsuya Okazaki, Hsinyu Tsai, Kohji Hosokawa, Charles Mackin, Akiyo Nomura, Takeo Yasuda, J. Demarest, Kevin Brew, V. Chan, S. Choi, T. Gordon, T. M. Levin, Alexander M. Friz, Masatoshi Ishii, Yasuteru Kohda, An Chen, Andrea Fasoli, Jose Luquin, Nicole Saulnier, S. Teehan, Ishtiaq Ahsan, Vijay Narayanan
Phase Change Memory-based Hardware Accelerators for Deep Neural Networks (invited). VLSI Technology and Circuits (2023)
Hsinyu Tsai, Pritish Narayanan, Shubham Jain, Stefano Ambrogio, Kohji Hosokawa, Masatoshi Ishii, Charles Mackin, Ching-Tzu Chen, Atsuya Okazaki, Akiyo Nomura, Irem Boybat, Ramachandran Muralidhar, Martin M. Frank, Takeo Yasuda, Alexander M. Friz, Yasuteru Kohda, An Chen, Andrea Fasoli, Malte J. Rasch, Stanislaw Wozniak, Jose Luquin, Vijay Narayanan, Geoffrey W. Burr
Architectures and Circuits for Analog-memory-based Hardware Accelerators for Deep Neural Networks (Invited). ISCAS (2023)
Atsuya Okazaki, Pritish Narayanan, Stefano Ambrogio, Kohji Hosokawa, Hsinyu Tsai, Akiyo Nomura, Takeo Yasuda, Charles Mackin, Alexander M. Friz, Masatoshi Ishii, Yasuteru Kohda, Katie Spoon, An Chen, Andrea Fasoli, Malte J. Rasch, Geoffrey W. Burr
Analog-memory-based 14nm Hardware Accelerator for Dense Deep Neural Networks including Transformers. ISCAS (2022)
Robert L. Bruce, Syed Ghazi Sarwat, Irem Boybat, Cheng-Wei Cheng, Wanki Kim, S. R. Nandakumar, Charles Mackin, Timothy Philip, Zuoguang Liu, Kevin Brew, Nanbo Gong, Injo Ok, Praneet Adusumilli, Katie Spoon, Stefano Ambrogio, Benedikt Kersting, Thomas Bohnstingl, Manuel Le Gallo, Andrew Simon, Ning Li, Iqbal Saraf, Jin-Ping Han, Lynne M. Gignac, John M. Papalia, Tenko Yamashita, Nicole Saulnier, Geoffrey W. Burr, Hsinyu Tsai, Abu Sebastian, Vijay Narayanan, Matthew BrightSky
Mushroom-Type phase change memory with projection liner: An array-level demonstration of conductance drift and noise mitigation. IRPS (2021)
Kohji Hosokawa, Pritish Narayanan, Stefano Ambrogio, Hsinyu Tsai, Charles Mackin, Andrea Fasoli, Alexander M. Friz, An Chen, Jose Luquin, Katherine Spoon, Geoffrey W. Burr, Scott C. Lewis
Circuit Techniques for Efficient Acceleration of Deep Neural Network Inference with Analog-AI (Invited). ISCAS (2021)
Katie Spoon, Hsinyu Tsai, An Chen, Malte J. Rasch, Stefano Ambrogio, Charles Mackin, Andrea Fasoli, Alexander M. Friz, Pritish Narayanan, Milos Stanisavljevic, Geoffrey W. Burr
Toward Software-Equivalent Accuracy on Transformer-Based Deep Neural Networks With Analog Memory Devices. Frontiers Comput. Neurosci. 15 (2021)
Andrea Fasoli, Stefano Ambrogio, Pritish Narayanan, Hsinyu Tsai, Charles Mackin, Katherine Spoon, Alexander M. Friz, An Chen, Geoffrey W. Burr
Optimization of Analog Accelerators for Deep Neural Networks Inference. ISCAS (2020)
Charles Mackin, Pritish Narayanan, Stefano Ambrogio, Hsinyu Tsai, Katie Spoon, Andrea Fasoli, An Chen, Alexander M. Friz, Robert M. Shelby, Geoffrey W. Burr
Neuromorphic Computing with Phase Change, Device Reliability, and Variability Challenges. IRPS (2020)
Stefano Ambrogio, Pritish Narayanan, Hsinyu Tsai, Charles Mackin, Katherine Spoon, An Chen, Andrea Fasoli, Alexander M. Friz, Geoffrey W. Burr
Accelerating Deep Neural Networks with Analog Memory Devices. AICAS (2020)
Massimo Giordano, Giorgio Cristiano, Koji Ishibashi, Stefano Ambrogio, Hsinyu Tsai, Geoffrey W. Burr, Pritish Narayanan
Analog-to-Digital Conversion With Reconfigurable Function Mapping for Neural Networks Activation Function Acceleration. IEEE J. Emerg. Sel. Topics Circuits Syst. 9 (2) (2019)
Stefano Bianchi, I. Muñoz-Martín, Giacomo Pedretti, O. Melnic, Stefano Ambrogio, Daniele Ielmini
Energy-efficient continual learning in hybrid supervised-unsupervised neural networks with PCM synapses. VLSI Circuits (2019)
Hung-Yang Chang, Pritish Narayanan, Scott C. Lewis, Nathan C. P. Farinha, Kohji Hosokawa, Charles Mackin, Hsinyu Tsai, Stefano Ambrogio, An Chen, Geoffrey W. Burr
AI hardware acceleration with analog memory: Microarchitectures for low energy at high speed. IBM J. Res. Dev. 63 (6) (2019)
Stefano Ambrogio, Pritish Narayanan, Hsinyu Tsai, Robert M. Shelby, Irem Boybat, Carmelo di Nolfo, Severin Sidler, Massimo Giordano, Martina Bodini, Nathan C. P. Farinha, Benjamin Killeen, Christina Cheng, Yassine Jaoudi, Geoffrey W. Burr
Equivalent-accuracy accelerated neural-network training using analogue memory. Nat. 558 (7708) (2018)
Valerio Milo, Giacomo Pedretti, Roberto Carboni, Alessandro Calderoni, Nirmal Ramaswamy, Stefano Ambrogio, Daniele Ielmini
A 4-Transistors/1-Resistor Hybrid Synapse Based on Resistive Switching Memory (RRAM) Capable of Spike-Rate-Dependent Plasticity (SRDP). IEEE Trans. Very Large Scale Integr. Syst. 26 (12) (2018)
Giacomo Pedretti, Valerio Milo, Stefano Ambrogio, Roberto Carboni, Stefano Bianchi, Alessandro Calderoni, Nirmal Ramaswamy, Alessandro S. Spinelli, Daniele Ielmini
Stochastic Learning in Neuromorphic Hardware via Spike Timing Dependent Plasticity With RRAM Synapses. IEEE J. Emerg. Sel. Topics Circuits Syst. 8 (1) (2018)
Irem Boybat, Carmelo di Nolfo, Stefano Ambrogio, Martina Bodini, Nathan C. P. Farinha, Robert M. Shelby, Pritish Narayanan, Severin Sidler, Hsinyu Tsai, Yusuf Leblebici, Geoffrey W. Burr
Improved Deep Neural Network Hardware-Accelerators Based on Non-Volatile-Memory: The Local Gains Technique. ICRC (2017)
Pritish Narayanan, Lucas L. Sanches, Alessandro Fumarola, Robert M. Shelby, Stefano Ambrogio, Jun-Woo Jang, Hyunsang Hwang, Yusuf Leblebici, Geoffrey W. Burr
Reducing circuit design complexity for neuromorphic machine learning systems based on Non-Volatile Memory arrays. ISCAS (2017)
Geoffrey W. Burr, Pritish Narayanan, Robert M. Shelby, Stefano Ambrogio, Hsinyu Tsai, Scott L. Lewis, Kohji Hosokawa
Neuromorphic devices and architectures for next-generation cognitive computing. ISCAS (2017)
Daniele Ielmini, Stefano Ambrogio, Valerio Milo, Simone Balatti, Zhongqiang Wang
Neuromorphic computing with hybrid memristive/CMOS synapses for real-time learning. ISCAS (2016)
Simone Balatti, Stefano Ambrogio, Zhongqiang Wang, Daniele Ielmini
True Random Number Generation by Variability of Resistive Switching in Oxide-Based Devices. IEEE J. Emerg. Sel. Topics Circuits Syst. 5 (2) (2015)
Stefano Ambrogio, Simone Balatti, Zhongqiang Wang, Yu-Sheng Chen, Heng-Yuan Lee, Frederick T. Chen, Daniele Ielmini
Data retention statistics and modelling in HfO2 resistive switching memories. IRPS (2015)
Simone Balatti, Stefano Ambrogio, Zhongqiang Wang, Scott Sills, Alessandro Calderoni, Nirmal Ramaswamy, Daniele Ielmini
Understanding pulsed-cycling variability and endurance in HfOx RRAM. IRPS (2015)
Stefano Ambrogio, Simone Balatti, Daniele Ielmini, D. C. Gilmer
Analytical modelling and leakage optimization in complementary resistive switch (CRS) crossbar arrays. ESSDERC (2014)
Stefano Ambrogio, Simone Balatti, Antonio Cubeta, Daniele Ielmini
Statistical modeling of program and read variability in resistive switching devices. ISCAS (2014)