Browsing by author "Verhoef, Bram"
Now showing items 1-11 of 11
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Analytic variability study of inference accuracy in RRAM arrays with a binary tree winner-take-all circuit for neuromorphic applications
Doevenspeck, Jonas; Degraeve, Robin; Cosemans, Stefan; Roussel, Philippe; Verhoef, Bram; Lauwereins, Rudy; Dehaene, Wim (2018) -
Binary CorNET: Accelerator for HR estimation fromwrist-PPG
Rocha, Leandro Giacomini; Biswas, Dwaipayan; Verhoef, Bram; Bampi, Sergio; Van Hoof, Chris; Konijnenburg, Mario; Verhelst, Marian; Helleputte, Nick Van (2020) -
BioTranslator: Inferring R-peaks from ambulatory wrist-worn PPG signal
Everson, Luke; Biswas, Dwaipayan; Verhoef, Bram; Kim, Chris H.; Van Hoof, Chris; Konijnenburg, Mario; Van Helleputte, Nick (2019) -
CorNET: Deep learning framework for PPG based heart rate estimation and biometric identification in ambulant environment
Biswas, Dwaipayan; Everson, Luke; Liu, Muqing; Panwar, Madhuri; Verhoef, Bram; Patki, Shrishail; Kim, Chris H.; Acharyya, Amit; Van Hoof, Chris; Konijnenburg, Mario; Van Helleputte, Nick (2019) -
FQ-Conv: Fully quantized convolution for efficient and accurate inference
Verhoef, Bram; Laubeuf, Nathan; Cosemans, Stefan; Debacker, Peter; Papistas, Ioannis; Mallik, Arindam; Verkest, Diederik (2019) -
Novel memory devices tailored to analog in-memory computing for neural network inference
Cosemans, Stefan; Doevenspeck, Jonas; Verhoef, Bram; Papistas, Ioannis; Laubeuf, Nathan; Bhattacharjee, Debjyoti; Catthoor, Francky; Debacker, Peter; Verkest, Diederik; Rao, Siddharth; Subhechha, Subhali; Kar, Gouri Sankar; Furnemont, Arnaud (2020-09) -
Real-time HR estimation from wrist PPG using binary LSTMs
Giacomini Rocha, Leandro; Liu, Muqing; Biswas, Dwaipayan; Verhoef, Bram; Verhelst, Marian; Bampi, Sergio; Kim, Chris H.; Van Hoof, Chris; Konijnenburg, Mario; Van Helleputte, Nick (2019) -
SOT-MRAM based Analog in-Memory Computing for DNN inference
Doevenspeck, Jonas; Garello, Kevin; Verhoef, Bram; Degraeve, Robin; Van Beek, Simon; Crotti, Davide; Yasin, Farrukh; Couet, Sebastien; Jayakumar, Ganesh; Papistas, Ioannis; Debacker, Peter; Lauwereins, Rudy; Dehaene, Wim; Kar, Gouri Sankar; Cosemans, Stefan; Mallik, Arindam; Verkest, Diederik (2020) -
Towards 10000TOPS/W DNN inference with analog in-memory computing – A circuit blueprint, device options and requirements
Cosemans, Stefan; Verhoef, Bram; Doevenspeck, Jonas; Papistas, Ioannis; Catthoor, Francky; Debacker, Peter; Mallik, Arindam; Verkest, Diederik (2019) -
Using (emerging) memories for machine learning hardware
Verkest, Diederik; Rodopoulos, Dimitrios; Verhoef, Bram; Mallik, Arindam; Constantin, Jeremy; Debacker, Peter; Stuijt, Jan; Appeltans, Raf; Garbin, Daniele; Mocuta, Anda; Kar, Gouri Sankar; Furnemont, Arnaud (2018) -
Winner-take-all accuracy in RRAM arrays with a binary tree for neuromorphic applications
Doevenspeck, Jonas; Degraeve, Robin; Cosemans, Stefan; Roussel, Philippe; Rodopoulos, Dimitrios; Garbin, Daniele; Verhoef, Bram; Fantini, Andrea; Lauwereins, Rudy; Dehaene, Wim (2018)