Inna Partin-Vaisband

37 papers A* 2C 3Journal 22Unranked 8

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	FLAMES: Framework for Learning With Analog MEmory Systems. IEEE Trans. Circuits Syst. I Regul. Pap. Mohammad Aghapour, Farid Kenarangi, Inna Partin-Vaisband
2026	J	`jnl`	From Physics to Surrogate Intelligence: A Unified Electro-Thermo-Optimization Framework for TSV Networks. CoRR Mohamed Gharib, Leonid Popryho, Inna Partin-Vaisband
2025	J	`jnl`	Automated Hardware Trojan Insertion in Industrial-Scale Designs. CoRR Yaroslav Popryho, Debjit Pal, Inna Partin-Vaisband
2025	J	`jnl`	Fast and Accurate RFIC Performance Prediction via Pin Level Graph Neural Networks and Probabilistic Flow. CoRR Anahita Asadi, Leonid Popryho, Inna Partin-Vaisband
2025	J	`jnl`	GANGR: GAN-Assisted Scalable and Efficient Global Routing Parallelization. CoRR Hadi Khodaei Jooshin, Inna Partin-Vaisband
2025	J	`jnl`	NetVGE: Netwise Hardware Trojan Detection at RTL Using Variable Dependency and Knowledge Graph Embedding. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. Yaroslav Popryho, Debjit Pal, Inna Partin-Vaisband
2024	—	`conf`	An Analytical Model for High-Frequency Through Silicon Vias. ACM Great Lakes Symposium on VLSI Mohamed Adel Gharib, Salma Abdelzaher, Inna Partin-Vaisband
2024	—	`conf`	An Embedded Multi-Layer Spiral Square Inductor for Integrated Power Delivery - Physical Design and Analytical Models. ACM Great Lakes Symposium on VLSI Rami Rasheedi, Inna Partin-Vaisband
2024	C	`conf`	Design Considerations for DC-DC Voltage Regulators in Distributed Vertical Power Delivery Systems. ISCAS Sriharini Krishnakumar, Mingeun Choi, Ramin Rahimzadeh Khorasani, Rohit Sharma, Madhavan Swaminathan, Satish Kumar, Inna Partin-Vaisband
2024	J	`jnl`	Energy Efficient Compact Approximate Multiplier for Error-Resilient Applications. IEEE Trans. Circuits Syst. II Express Briefs Ayoub Sadeghi, Rami Rasheedi, Inna Partin-Vaisband, Debjit Pal
2024	J	`jnl`	Netwise Detection of Hardware Trojans Using Scalable Convolution of Graph Embedding Clouds. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. Dmitry Utyamishev, Inna Partin-Vaisband
2024	—	`ed.`	Proceedings of the Great Lakes Symposium on VLSI 2024, GLSVLSI 2024, Clearwater, FL, USA, June 12-14, 2024 ACM Great Lakes Symposium on VLSI Inna Partin-Vaisband, Srinivas Katkoori, Lu Peng, Boris Vaisband, Tooraj Nikoubin
2024	—	`conf`	System Architecture Optimization for Vertical Power Delivery. ACM Great Lakes Symposium on VLSI Sriharini Krishnakumar, Yaroslav Popryho, Inna Partin-Vaisband
2023	J	`jnl`	Multiterminal Pathfinding in Practical VLSI Systems with Deep Neural Networks. ACM Trans. Design Autom. Electr. Syst. Dmitry Utyamishev, Inna Partin-Vaisband
2023	—	`ed.`	Proceedings of the Great Lakes Symposium on VLSI 2023, GLSVLSI 2023, Knoxville, TN, USA, June 5-7, 2023 ACM Great Lakes Symposium on VLSI Himanshu Thapliyal, Ronald F. DeMara, Inna Partin-Vaisband, Srinivas Katkoori
2023	—	`conf`	Vertical Power Delivery for Emerging Packaging and Integration Platforms - Power Conversion and Distribution. SOCC Sriharini Krishnakumar, Inna Partin-Vaisband
2023	J	`jnl`	Vertical Power Delivery for Emerging Packaging and Integration Platforms - Power Conversion and Distribution. CoRR Sriharini Krishnakumar, Inna Partin-Vaisband
2022	J	`jnl`	A Machine Learning Pipeline Stage for Adaptive Frequency Adjustment. IEEE Trans. Computers Arash Fouman Ajirlou, Inna Partin-Vaisband
2022	C	`conf`	Knowledge Graph Embedding and Visualization for Pre-Silicon Detection of Hardware Trojans. ISCAS Dmitry Utyamishev, Inna Partin-Vaisband
2022	J	`jnl`	NoD: A Neural Network-Over-Decoder for Edge Intelligence. IEEE Trans. Very Large Scale Integr. Syst. Arash Fouman Ajirlou, Farid Kenarangi, Eli Shapira, Inna Partin-Vaisband
2021	J	`jnl`	A Single-MOSFET Analog High Resolution-Targeted (SMART) Multiplier for Machine Learning Classification. IEEE J. Emerg. Sel. Topics Circuits Syst. Farid Kenarangi, Inna Partin-Vaisband
2021	J	`jnl`	Guest Editorial Cross-Layer Designs, Methodologies, and Systems to Enable Micro AI for On-Device Intelligence. IEEE J. Emerg. Sel. Topics Circuits Syst. Tinoosh Mohsenin, Inna Partin-Vaisband, Houman Homayoun, Jae-sun Seo, Xin Zhang
2021	A*	`conf`	Late Breaking Results: Parallelizing Net Routing with cGANs. DAC Dmitry Utyamishev, Inna Partin-Vaisband
2021	—	`conf`	PySyn: A Rapid Synthesis for Mixed-Signal Machine Learning Classification. MWSCAS Farid Kenarangi, Inna Partin-Vaisband
2020	J	`jnl`	A Machine Learning Pipeline Stage for Adaptive Frequency Adjustment. CoRR Arash Fouman Ajirlou, Inna Partin-Vaisband
2020	J	`jnl`	A Unified Learning Platform for Dynamic Frequency Scaling in Pipelined Processors. CoRR Arash Fouman Ajirlou, Inna Partin-Vaisband
2020	A*	`conf`	Late Breaking Results: A Neural Network that Routes ICs. DAC Dmitry Utyamishev, Inna Partin-Vaisband
2020	C	`conf`	Leveraging Independent Double-Gate FinFET Devices for Machine Learning Classification. ISCAS Farid Kenarangi, Inna Partin-Vaisband
2020	J	`jnl`	Real-Time Detection of Power Analysis Attacks by Machine Learning of Power Supply Variations On-Chip. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. Dmitry Utyamishev, Inna Partin-Vaisband
2019	J	`jnl`	A Single-MOSFET MAC for Confidence and Resolution (CORE) Driven Machine Learning Classification. CoRR Farid Kenarangi, Inna Partin-Vaisband
2019	J	`jnl`	Exploiting Dual-Gate Ambipolar CNFETs for Scalable Machine Learning Classification. CoRR Farid Kenarangi, Xuan Hu, Yihan Liu, Jean Anne C. Incorvia, Joseph S. Friedman, Inna Partin-Vaisband
2019	J	`jnl`	Exploiting Machine Learning Against On-Chip Power Analysis Attacks: Tradeoffs and Design Considerations. IEEE Trans. Circuits Syst. I Regul. Pap. Farid Kenarangi, Inna Partin-Vaisband
2019	J	`jnl`	Leveraging Independent Double-Gate FinFET Devices for Machine Learning Classification. IEEE Trans. Circuits Syst. I Regul. Pap. Farid Kenarangi, Inna Partin-Vaisband
2019	J	`jnl`	Progressive VAE Training on Highly Sparse and Imbalanced Data. CoRR Dmitry Utyamishev, Inna Partin-Vaisband
2019	—	`conf`	Security Network On-Chip for Mitigating Side-Channel Attacks. SLIP Farid Kenarangi, Inna Partin-Vaisband
2018	—	`conf`	Efficient Wireless Power Transfer for Heterogeneous Adaptive IoT Systems. ACM Great Lakes Symposium on VLSI Inna Partin-Vaisband
2017	—	`conf`	Automated Design of Stable Power Delivery Systems for Heterogeneous IoT Systems. ACM Great Lakes Symposium on VLSI Inna Partin-Vaisband