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

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

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

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

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)