Stefano Ambrogio

31 papers C 8Journal 12Unranked 10

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	Chain-of-Descriptions: Improving Code LLMs for VHDL Code Generation and Summarization. CoRR Prashanth Vijayaraghavan, Apoorva Nitsure, Charles Mackin, Luyao Shi, Stefano Ambrogio, Arvind Haran, Viresh Paruthi, Ali El-Zein, Dan Coops, David Beymer, Tyler Baldwin, Ehsan Degan
2025	J	`jnl`	Rapid yet accurate Tile-circuit and device modeling for Analog In-Memory Computing. CoRR Jose Luquin, Charles Mackin, Stefano Ambrogio, An Chen, F. Baldi, G. Miralles, Malte J. Rasch, Julian Büchel, M. Lalwani, W. Ponghiran, Paul Solomon, Hsinyu Tsai, Geoffrey W. Burr, Pritish Narayanan
2024	—	`conf`	Chain-of-Descriptions: Improving Code LLMs for VHDL Code Generation and Summarization. MLCAD Prashanth Vijayaraghavan, Apoorva Nitsure, Charles Mackin, Luyao Shi, Stefano Ambrogio, Arvind Haran, Viresh Paruthi, Ali El-Zein, Dan Coops, David Beymer, Tyler Baldwin, Ehsan Degan
2024	J	`jnl`	Roadmap to Neuromorphic Computing with Emerging Technologies. CoRR 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
2024	J	`jnl`	VHDL-Eval: A Framework for Evaluating Large Language Models in VHDL Code Generation. CoRR Prashanth Vijayaraghavan, Luyao Shi, Stefano Ambrogio, Charles Mackin, Apoorva Nitsure, David Beymer, Ehsan Degan
2023	J	`jnl`	An analog-AI chip for energy-efficient speech recognition and transcription. Nat. 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
2023	C	`conf`	Architectures and Circuits for Analog-memory-based Hardware Accelerators for Deep Neural Networks (Invited). ISCAS 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
2023	—	`conf`	Phase Change Memory-based Hardware Accelerators for Deep Neural Networks (invited). VLSI Technology and Circuits Geoffrey W. Burr, Pritish Narayanan, Stefano Ambrogio, Atsuya Okazaki, Hsinyu Tsai, Kohji Hosokawa, Charles Mackin, Akiyo Nomura, Takeo Yasuda, J. Demarest, Kevin Brew, Victor Chan, Samuel 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
2022	C	`conf`	Analog-memory-based 14nm Hardware Accelerator for Dense Deep Neural Networks including Transformers. ISCAS 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
2021	C	`conf`	Circuit Techniques for Efficient Acceleration of Deep Neural Network Inference with Analog-AI (Invited). ISCAS 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
2021	—	`conf`	Mushroom-Type phase change memory with projection liner: An array-level demonstration of conductance drift and noise mitigation. IRPS 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
2021	J	`jnl`	Toward Software-Equivalent Accuracy on Transformer-Based Deep Neural Networks With Analog Memory Devices. Frontiers Comput. Neurosci. 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
2020	—	`conf`	Accelerating Deep Neural Networks with Analog Memory Devices. AICAS Stefano Ambrogio, Pritish Narayanan, Hsinyu Tsai, Charles Mackin, Katherine Spoon, An Chen, Andrea Fasoli, Alexander M. Friz, Geoffrey W. Burr
2020	—	`conf`	Neuromorphic Computing with Phase Change, Device Reliability, and Variability Challenges. IRPS Charles Mackin, Pritish Narayanan, Stefano Ambrogio, Hsinyu Tsai, Katie Spoon, Andrea Fasoli, An Chen, Alexander M. Friz, Robert M. Shelby, Geoffrey W. Burr
2020	C	`conf`	Optimization of Analog Accelerators for Deep Neural Networks Inference. ISCAS Andrea Fasoli, Stefano Ambrogio, Pritish Narayanan, Hsinyu Tsai, Charles Mackin, Katherine Spoon, Alexander M. Friz, An Chen, Geoffrey W. Burr
2019	J	`jnl`	AI hardware acceleration with analog memory: Microarchitectures for low energy at high speed. IBM J. Res. Dev. 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
2019	J	`jnl`	Analog-to-Digital Conversion With Reconfigurable Function Mapping for Neural Networks Activation Function Acceleration. IEEE J. Emerg. Sel. Topics Circuits Syst. Massimo Giordano, Giorgio Cristiano, Koji Ishibashi, Stefano Ambrogio, Hsinyu Tsai, Geoffrey W. Burr, Pritish Narayanan
2019	—	`conf`	Energy-efficient continual learning in hybrid supervised-unsupervised neural networks with PCM synapses. VLSI Circuits Stefano Bianchi, I. Muñoz-Martín, Giacomo Pedretti, Octavian Melnic, Stefano Ambrogio, Daniele Ielmini
2018	J	`jnl`	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. Valerio Milo, Giacomo Pedretti, Roberto Carboni, Alessandro Calderoni, Nirmal Ramaswamy, Stefano Ambrogio, Daniele Ielmini
2018	J	`jnl`	Equivalent-accuracy accelerated neural-network training using analogue memory. Nat. 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
2018	J	`jnl`	Stochastic Learning in Neuromorphic Hardware via Spike Timing Dependent Plasticity With RRAM Synapses. IEEE J. Emerg. Sel. Topics Circuits Syst. Giacomo Pedretti, Valerio Milo, Stefano Ambrogio, Roberto Carboni, Stefano Bianchi, Alessandro Calderoni, Nirmal Ramaswamy, Alessandro S. Spinelli, Daniele Ielmini
2017	—	`conf`	Improved Deep Neural Network Hardware-Accelerators Based on Non-Volatile-Memory: The Local Gains Technique. ICRC 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
2017	C	`conf`	Neuromorphic devices and architectures for next-generation cognitive computing. ISCAS Geoffrey W. Burr, Pritish Narayanan, Robert M. Shelby, Stefano Ambrogio, Hsinyu Tsai, Scott L. Lewis, Kohji Hosokawa
2017	C	`conf`	Reducing circuit design complexity for neuromorphic machine learning systems based on Non-Volatile Memory arrays. ISCAS Pritish Narayanan, Lucas L. Sanches, Alessandro Fumarola, Robert M. Shelby, Stefano Ambrogio, Jun-Woo Jang, Hyunsang Hwang, Yusuf Leblebici, Geoffrey W. Burr
2016	—	`—`	Modeling of reliability and neuromorphic application of resistive switching devices. Stefano Ambrogio
2016	C	`conf`	Neuromorphic computing with hybrid memristive/CMOS synapses for real-time learning. ISCAS Daniele Ielmini, Stefano Ambrogio, Valerio Milo, Simone Balatti, Zhongqiang Wang
2015	—	`conf`	Data retention statistics and modelling in HfO2 resistive switching memories. IRPS Stefano Ambrogio, Simone Balatti, Zhongqiang Wang, Yu-Sheng Chen, Heng-Yuan Lee, Frederick T. Chen, Daniele Ielmini
2015	J	`jnl`	True Random Number Generation by Variability of Resistive Switching in Oxide-Based Devices. IEEE J. Emerg. Sel. Topics Circuits Syst. Simone Balatti, Stefano Ambrogio, Zhongqiang Wang, Daniele Ielmini
2015	—	`conf`	Understanding pulsed-cycling variability and endurance in HfOx RRAM. IRPS Simone Balatti, Stefano Ambrogio, Zhongqiang Wang, Scott Sills, Alessandro Calderoni, Nirmal Ramaswamy, Daniele Ielmini
2014	—	`conf`	Analytical modelling and leakage optimization in complementary resistive switch (CRS) crossbar arrays. ESSDERC Stefano Ambrogio, Simone Balatti, Daniele Ielmini, David C. Gilmer
2014	C	`conf`	Statistical modeling of program and read variability in resistive switching devices. ISCAS Stefano Ambrogio, Simone Balatti, Antonio Cubeta, Daniele Ielmini