Towards Fault Simulation at Mixed Register-Transfer/Gate-Level Models. - Endri Kaja; Nicolas Gerlin; Mounika Vaddeboina; Luis Rivas; Sebastian Siegfried Prebeck; Zhao Han; Keerthikumara Devarajegowda; Wolfgang Ecker (DFT, 2021)

A Scalable, Configurable and Programmable Vector Dot-Product Unit for Edge AI. - Sebastian Prebeck; Sathya Ashok; Mounika Vaddeboina; Keerthikumara Devarajegowda; Wolfgang Ecker (MBMV, 2022)

A Smart HW-Accelerator for Non-uniform Linear Interpolation of ML-Activation Functions. - Sebastian Siegfried Prebeck; Wafic Lawand; Mounika Vaddeboina; Wolfgang Ecker (SAMOS, 2022)

Parallel Golomb-Rice Decoder with 8-bit Unary Decoding for Weight Compression in TinyML Applications. - Mounika Vaddeboina; Endri Kaja; Alper Yilmayer; Sebastian Prebeck; Wolfgang Ecker (DSD, 2023)

PaGoRi:A Scalable Parallel Golomb-Rice Decoder. - Mounika Vaddeboina; Endri Kaja; Alper Yilmazer; Uttal Ghosh; Wolfgang Ecker (DDECS, 2024)

Optimizing Data Compression: Enhanced Golomb-Rice Encoding with Parallel Decoding Strategies for TinyML Models. - Mounika Vaddeboina; Alper Yilmayer; Wolfgang Ecker (DSD, 2024)

Energy-Efficient Neural Network Inference through Golomb-Rice Compression of Activations for Edge Devices. - Mounika Vaddeboina; Alper Yilmazer; Wolfgang Ecker (DDECS, 2025)