Towards Hardware-Aware Tractable Learning of Probabilistic ModelsLaura Isabel Galindez Olascoaga, Wannes Meert, Nimish Shah, Marian Verhelst, and Guy Van den Broeck · Conference Proceeding · 2019Advances in Neural Information Processing Systems 32 (NeurIPS); 2019; Vol. 32; pp.
Security on Plastics: Fake or Real?Nele Mentens, Jan Genoe, Thomas Vandenabeele, Lynn Verschueren, Dirk Smets, Wim Dehaene, and Kris Myny · Journal Article · 2019IACR Transactions on Cryptographic Hardware and Embedded Systems; 2019; Vol. 2019; iss. 4; pp.
Real-time HR Estimation from wrist PPG using Binary LSTMsLeandro Giacomini Rocha, Muqing Liu, Dwaipayan Biswas, Bram-Ernst Verhoef, Sergio Bampi, Chris H Kim, Chris Van Hoof, Mario Konijnenburg, Marian Verhelst, and Nick Van Helleputte · Conference Proceeding · 20192019 IEEE BIOMEDICAL CIRCUITS AND SYSTEMS CONFERENCE (BIOCAS 2019); 2019; pp.
Sub-Word Parallel Precision-Scalable MAC Engines for Efficient Embedded DNN InferenceLinyan Mei, Mohit Dandekar, Dimitrios Rodopoulos, Jeremy Constantin, Peter Debacker, Rudy Lauwereins, and Marian Verhelst · Conference Proceeding · 20192019 IEEE International Conference on Artificial Intelligence Circuits and Systems (AICAS); 2019; pp. 6 - 10
ProbLP: A framework for low-precision probabilistic inferenceNimish Shah, Laura I Galindez Olascoaga, Wannes Meert, and Marian Verhelst · Conference Proceeding · 2019Proceedings of the 56th Annual Design Automation Conference 2019; 2019; pp. 190:1 - 6