Jelin Leslin

According to our database, Jelin Leslin authored at least 8 papers between 2022 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

LogSumExp: Efficient Approximate Logarithm Acceleration for Embedded Tractable Probabilistic Reasoning.

Lingyun Yao, Shirui Zhao, Martin Trapp, Jelin Leslin, Marian Verhelst, Martin Andraud

IEEE Trans. Circuits Syst. I Regul. Pap., March, 2026

2025

Acore-CIM: build accurate and reliable mixed-signal CIM cores with RISC-V controlled self-calibration.

Omar Numan, Gaurav Singh, Kazybek Adam, Jelin Leslin, Aleksi Korsman, Otto Simola, Marko Kosunen, Jussi Ryynänen, Martin Andraud

CoRR, June, 2025

Hardware-efficient tractable probabilistic inference for TinyML Neurosymbolic AI applications.

Jelin Leslin, Martin Trapp, Martin Andraud

Proceedings of the IEEE International Conference on Omni-layer Intelligent Systems, 2025

2024

A 22-nm All-Digital Time-Domain Neural Network Accelerator for Precision In-Sensor Processing.

Ahmed M. Mohey, Jelin Leslin, Gaurav Singh, Marko Kosunen, Jussi Ryynänen, Martin Andraud

IEEE Trans. Very Large Scale Integr. Syst., December, 2024

On Hardware-efficient Inference in Probabilistic Circuits.

Lingyun Yao, Martin Trapp, Jelin Leslin, Gaurav Singh, Peng Zhang, Karthekeyan Periasamy, Martin Andraud

Proceedings of the Uncertainty in Artificial Intelligence, 2024

Mixed Precision HW Acceleration in PCs.

Jelin Leslin, Martin Trapp, Martin Andraud

Proceedings of the Machine Learning and Principles and Practice of Knowledge Discovery in Databases, 2024

AutoPC: An Open-Source Framework for Efficient Probabilistic Reasoning on FPGA Hardware.

Karthekeyan Periasamy, Jelin Leslin, Aleksi Korsman, Lingyun Yao, Martin Andraud

Proceedings of the 22nd IEEE Interregional NEWCAS Conference, 2024

2022

A Hardware Perspective to Evaluating Probabilistic Circuits.

Jelin Leslin, Antti Hyttinen, Karthekeyan Periasamy, Lingyun Yao, Martin Trapp, Martin Andraud

Proceedings of the International Conference on Probabilistic Graphical Models, 2022