A Hardware Perspective to Evaluating Probabilistic Circuits. - Jelin Leslin; Antti Hyttinen; Karthekeyan Periasamy; Lingyun Yao; Martin Trapp 001; Martin Andraud (PGM, 2022)

AutoPC: An Open-Source Framework for Efficient Probabilistic Reasoning on FPGA Hardware. - Karthekeyan Periasamy; Jelin Leslin; Aleksi Korsman; Lingyun Yao; Martin Andraud (NewCAS, 2024)

On Hardware-efficient Inference in Probabilistic Circuits. - Lingyun Yao; Martin Trapp 001; Jelin Leslin; Gaurav Singh 005; Peng Zhang 028; Karthekeyan Periasamy; Martin Andraud (UAI, 2024)

A 22-nm All-Digital Time-Domain Neural Network Accelerator for Precision In-Sensor Processing. - Ahmed M. Mohey; Jelin Leslin; Gaurav Singh 005; Marko Kosunen; Jussi Ryynänen; Martin Andraud (IEEE Trans. Very Large Scale Integr. Syst., 2024)

Hardware-efficient tractable probabilistic inference for TinyML Neurosymbolic AI applications. - Jelin Leslin; Martin Trapp 001; Martin Andraud (COINS, 2025)

Acore-CIM: build accurate and reliable mixed-signal CIM cores with RISC-V controlled self-calibration. - Omar Numan; Gaurav Singh 005; Kazybek Adam; Jelin Leslin; Aleksi Korsman; Otto Simola; Marko Kosunen; Jussi Ryynänen; Martin Andraud (CoRR, 2025)