Inna Partin-Vaisband

Publication Activity (10 Years)

Years Active: 2017-2024
Publications (10 Years): 27

Top Topics

Analytical Models

Confidence Estimates

Top Venues

ACM Great Lakes Symposium on VLSI

IEEE Trans. Circuits Syst. I Regul. Pap.

Publications

Sriharini Krishnakumar, Mingeun Choi, Ramin Rahimzadeh Khorasani, Rohit Sharma, Madhavan Swaminathan, Satish Kumar, Inna Partin-Vaisband
Design Considerations for DC-DC Voltage Regulators in Distributed Vertical Power Delivery Systems. ISCAS (2024)
Rami Rasheedi, Inna Partin-Vaisband
An Embedded Multi-Layer Spiral Square Inductor for Integrated Power Delivery - Physical Design and Analytical Models. ACM Great Lakes Symposium on VLSI (2024)
Sriharini Krishnakumar, Yaroslav Popryho, Inna Partin-Vaisband
System Architecture Optimization for Vertical Power Delivery. ACM Great Lakes Symposium on VLSI (2024)
Mohamed Adel Gharib, Salma Abdelzaher, Inna Partin-Vaisband
An Analytical Model for High-Frequency Through Silicon Vias. ACM Great Lakes Symposium on VLSI (2024)
Sriharini Krishnakumar, Inna Partin-Vaisband
Vertical Power Delivery for Emerging Packaging and Integration Platforms - Power Conversion and Distribution. SOCC (2023)
Sriharini Krishnakumar, Inna Partin-Vaisband
Vertical Power Delivery for Emerging Packaging and Integration Platforms - Power Conversion and Distribution. CoRR (2023)
Dmitry Utyamishev, Inna Partin-Vaisband
Multiterminal Pathfinding in Practical VLSI Systems with Deep Neural Networks. ACM Trans. Design Autom. Electr. Syst. 28 (4) (2023)
Dmitry Utyamishev, Inna Partin-Vaisband
Knowledge Graph Embedding and Visualization for Pre-Silicon Detection of Hardware Trojans. ISCAS (2022)
Arash Fouman Ajirlou, Inna Partin-Vaisband
A Machine Learning Pipeline Stage for Adaptive Frequency Adjustment. IEEE Trans. Computers 71 (3) (2022)
Arash Fouman Ajirlou, Farid Kenarangi, Eli Shapira, Inna Partin-Vaisband
NoD: A Neural Network-Over-Decoder for Edge Intelligence. IEEE Trans. Very Large Scale Integr. Syst. 30 (10) (2022)
Farid Kenarangi, Inna Partin-Vaisband
PySyn: A Rapid Synthesis for Mixed-Signal Machine Learning Classification. MWSCAS (2021)
Dmitry Utyamishev, Inna Partin-Vaisband
Late Breaking Results: Parallelizing Net Routing with cGANs. DAC (2021)
Tinoosh Mohsenin, Inna Partin-Vaisband, Houman Homayoun, Jae-Sun Seo, Xin Zhang
Guest Editorial Cross-Layer Designs, Methodologies, and Systems to Enable Micro AI for On-Device Intelligence. IEEE J. Emerg. Sel. Topics Circuits Syst. 11 (4) (2021)
Farid Kenarangi, Inna Partin-Vaisband
A Single-MOSFET Analog High Resolution-Targeted (SMART) Multiplier for Machine Learning Classification. IEEE J. Emerg. Sel. Topics Circuits Syst. 11 (4) (2021)
Dmitry Utyamishev, Inna Partin-Vaisband
Late Breaking Results: A Neural Network that Routes ICs. DAC (2020)
Arash Fouman Ajirlou, Inna Partin-Vaisband
A Machine Learning Pipeline Stage for Adaptive Frequency Adjustment. CoRR (2020)
Dmitry Utyamishev, Inna Partin-Vaisband
Real-Time Detection of Power Analysis Attacks by Machine Learning of Power Supply Variations On-Chip. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 39 (1) (2020)
Farid Kenarangi, Inna Partin-Vaisband
Leveraging Independent Double-Gate FinFET Devices for Machine Learning Classification. ISCAS (2020)
Arash Fouman Ajirlou, Inna Partin-Vaisband
A Unified Learning Platform for Dynamic Frequency Scaling in Pipelined Processors. CoRR (2020)
Farid Kenarangi, Xuan Hu, Yihan Liu, Jean Anne C. Incorvia, Joseph S. Friedman, Inna Partin-Vaisband
Exploiting Dual-Gate Ambipolar CNFETs for Scalable Machine Learning Classification. CoRR (2019)
Dmitry Utyamishev, Inna Partin-Vaisband
Progressive VAE Training on Highly Sparse and Imbalanced Data. CoRR (2019)
Farid Kenarangi, Inna Partin-Vaisband
Exploiting Machine Learning Against On-Chip Power Analysis Attacks: Tradeoffs and Design Considerations. IEEE Trans. Circuits Syst. I Regul. Pap. (2) (2019)
Farid Kenarangi, Inna Partin-Vaisband
Security Network On-Chip for Mitigating Side-Channel Attacks. SLIP (2019)
Farid Kenarangi, Inna Partin-Vaisband
Leveraging Independent Double-Gate FinFET Devices for Machine Learning Classification. IEEE Trans. Circuits Syst. I Regul. Pap. (11) (2019)
Farid Kenarangi, Inna Partin-Vaisband
A Single-MOSFET MAC for Confidence and Resolution (CORE) Driven Machine Learning Classification. CoRR (2019)
Inna Partin-Vaisband
Efficient Wireless Power Transfer for Heterogeneous Adaptive IoT Systems. ACM Great Lakes Symposium on VLSI (2018)
Inna Partin-Vaisband
Automated Design of Stable Power Delivery Systems for Heterogeneous IoT Systems. ACM Great Lakes Symposium on VLSI (2017)