Too-Hot-to-Handle: Insights into Temperature and Noise Hyperparameters for Differentiable Neural-Architecture-Searches. - Joschua Conrad; Simon Wilhelmstätter; Rohan Asthana; Vasileios Belagiannis; Maurits Ortmanns (AICAS, 2024)

Attacking a Joint Protection Scheme for Deep Neural Network Hardware Accelerators and Models. - Simon Wilhelmstätter; Joschua Conrad; Devanshi Upadhyaya; Ilia Polian; Maurits Ortmanns (AICAS, 2024)

Enabling Power Side-Channel Attack Simulation on Mixed-Signal Neural Network Accelerators. - Simon Wilhelmstätter; Joschua Conrad; Devanshi Upadhyaya; Ilia Polian; Maurits Ortmanns (COINS, 2024)

Confidence Estimation and Boosting for Dynamic-Comparator Transient-Noise Analysis. - Joschua Conrad; John G. Kauffman; Simon Wilhelmstätter; Rohan Asthana; Vasileios Belagiannis; Maurits Ortmanns (NewCAS, 2024)

PSumSim: A Simulator for Partial-Sum Quantization in Analog Matrix-Vector Multipliers. - Joschua Conrad; Simon Wilhelmstätter; Holger Mandry; Paul Kässer; Ahmed Abdelaal; Rohan Asthana; Vasileios Belagiannis; Maurits Ortmanns (ISCAS, 2025)

1/2CcellV2DD? An Energy Model for Compute-in-Memory SRAM Cells. - Simon Wilhelmstätter; Joschua Conrad; Johannes Stark; Devanshi Upadhyaya; Maël Gay; Ilia Polian; Maurits Ortmanns (SMACD, 2025)

Differentiable Cost Model for Neural-Network Accelerator Regarding Memory Hierarchy. - Joschua Conrad; Simon Wilhelmstätter; Rohan Asthana; Vasileios Belagiannis; Maurits Ortmanns (IEEE Trans. Circuits Syst. I Regul. Pap., 2025)