Power efficient tree-based crosslinks for skew reduction. - Inna Vaisband; Ran Ginosar; Avinoam Kolodny; Eby G. Friedman (ACM Great Lakes Symposium on VLSI, 2009)

Energy metrics for power efficient crosslink and mesh topologies. - Inna Vaisband; Eby G. Friedman; Ran Ginosar; Avinoam Kolodny (ISCAS, 2012)

Digitally controlled wide range pulse width modulator for on-chip power supplies. - Selçuk Köse; Inna Vaisband; Eby G. Friedman (ISCAS, 2013)

Computationally efficient clustering of power supplies in heterogeneous real time systems. - Inna Vaisband; Eby G. Friedman (ISCAS, 2014)

Dynamic power management with power network-on-chip. - Inna Vaisband; Eby G. Friedman (NEWCAS, 2014)

Power network-on-chip for scalable power delivery. - Inna Vaisband; Eby G. Friedman (SLIP, 2014)

Digitally Controlled Pulse Width Modulator for On-Chip Power Management. - Inna Vaisband; Mahmood J. Azhar; Eby G. Friedman; Selçuk Köse (IEEE Trans. Very Large Scale Integr. Syst., 2014)

Energy efficient adaptive clustering of on-chip power delivery systems. - Inna Vaisband; Eby G. Friedman (Integr., 2015)

A Closed-Loop Reconfigurable Switched-Capacitor DC-DC Converter for Sub-mW Energy Harvesting Applications. - Inna Vaisband; Mahmoud Saadat; Boris Murmann (IEEE Trans. Circuits Syst. I Regul. Pap., 2015)

Automated Design of Stable Power Delivery Systems for Heterogeneous IoT Systems. - Inna Partin-Vaisband (ACM Great Lakes Symposium on VLSI, 2017)

Efficient Wireless Power Transfer for Heterogeneous Adaptive IoT Systems. - Inna Partin-Vaisband (ACM Great Lakes Symposium on VLSI, 2018)

Security Network On-Chip for Mitigating Side-Channel Attacks. - Farid Kenarangi; Inna Partin-Vaisband (SLIP, 2019)

A Single-MOSFET MAC for Confidence and Resolution (CORE) Driven Machine Learning Classification. - Farid Kenarangi; Inna Partin-Vaisband (CoRR, 2019)

Exploiting Dual-Gate Ambipolar CNFETs for Scalable Machine Learning Classification. - Farid Kenarangi; Xuan Hu 002; Yihan Liu; Jean Anne C. Incorvia; Joseph S. Friedman; Inna Partin-Vaisband (CoRR, 2019)

Progressive VAE Training on Highly Sparse and Imbalanced Data. - Dmitry Utyamishev; Inna Partin-Vaisband (CoRR, 2019)

Exploiting Machine Learning Against On-Chip Power Analysis Attacks: Tradeoffs and Design Considerations. - Farid Kenarangi; Inna Partin-Vaisband (IEEE Trans. Circuits Syst. I Regul. Pap., 2019)

Leveraging Independent Double-Gate FinFET Devices for Machine Learning Classification. - Farid Kenarangi; Inna Partin-Vaisband (IEEE Trans. Circuits Syst. I Regul. Pap., 2019)

Late Breaking Results: A Neural Network that Routes ICs. - Dmitry Utyamishev; Inna Partin-Vaisband (DAC, 2020)

A Unified Learning Platform for Dynamic Frequency Scaling in Pipelined Processors. - Arash Fouman Ajirlou; Inna Partin-Vaisband (CoRR, 2020)

Real-Time Detection of Power Analysis Attacks by Machine Learning of Power Supply Variations On-Chip. - Dmitry Utyamishev; Inna Partin-Vaisband (IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 2020)

Late Breaking Results: Parallelizing Net Routing with cGANs. - Dmitry Utyamishev; Inna Partin-Vaisband (DAC, 2021)

PySyn: A Rapid Synthesis for Mixed-Signal Machine Learning Classification. - Farid Kenarangi; Inna Partin-Vaisband (MWSCAS, 2021)

A Single-MOSFET Analog High Resolution-Targeted (SMART) Multiplier for Machine Learning Classification. - Farid Kenarangi; Inna Partin-Vaisband (IEEE J. Emerg. Sel. Topics Circuits Syst., 2021)

Guest Editorial Cross-Layer Designs, Methodologies, and Systems to Enable Micro AI for On-Device Intelligence. - Tinoosh Mohsenin; Inna Partin-Vaisband; Houman Homayoun; Jae-Sun Seo; Xin Zhang 025 (IEEE J. Emerg. Sel. Topics Circuits Syst., 2021)

Knowledge Graph Embedding and Visualization for Pre-Silicon Detection of Hardware Trojans. - Dmitry Utyamishev; Inna Partin-Vaisband (ISCAS, 2022)

A Machine Learning Pipeline Stage for Adaptive Frequency Adjustment. - Arash Fouman Ajirlou; Inna Partin-Vaisband (IEEE Trans. Computers, 2022)

NoD: A Neural Network-Over-Decoder for Edge Intelligence. - Arash Fouman Ajirlou; Farid Kenarangi; Eli Shapira; Inna Partin-Vaisband (IEEE Trans. Very Large Scale Integr. Syst., 2022)

Vertical Power Delivery for Emerging Packaging and Integration Platforms - Power Conversion and Distribution. - Sriharini Krishnakumar; Inna Partin-Vaisband (SOCC, 2023)

Multiterminal Pathfinding in Practical VLSI Systems with Deep Neural Networks. - Dmitry Utyamishev; Inna Partin-Vaisband (ACM Trans. Design Autom. Electr. Syst., 2023)

An Analytical Model for High-Frequency Through Silicon Vias. - Mohamed Adel Gharib; Salma Abdelzaher; Inna Partin-Vaisband (ACM Great Lakes Symposium on VLSI, 2024)

System Architecture Optimization for Vertical Power Delivery. - Sriharini Krishnakumar; Yaroslav Popryho; Inna Partin-Vaisband (ACM Great Lakes Symposium on VLSI, 2024)

An Embedded Multi-Layer Spiral Square Inductor for Integrated Power Delivery - Physical Design and Analytical Models. - Rami Rasheedi; Inna Partin-Vaisband (ACM Great Lakes Symposium on VLSI, 2024)

Design Considerations for DC-DC Voltage Regulators in Distributed Vertical Power Delivery Systems. - Sriharini Krishnakumar; Mingeun Choi; Ramin Rahimzadeh Khorasani; Rohit Sharma; Madhavan Swaminathan; Satish Kumar; Inna Partin-Vaisband (ISCAS, 2024)

Netwise Detection of Hardware Trojans Using Scalable Convolution of Graph Embedding Clouds. - Dmitry Utyamishev; Inna Partin-Vaisband (IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 2024)

Energy Efficient Compact Approximate Multiplier for Error-Resilient Applications. - Ayoub Sadeghi; Rami Rasheedi; Inna Partin-Vaisband; Debjit Pal (IEEE Trans. Circuits Syst. II Express Briefs, 2024)