Search Results - "Bilaniuk, Olexa"

Use of Artificial Intelligence in Dentistry: Current Clinical Trends and Research Advances by Nguyen, Thomas T, Larrivée, Naomie, Lee, Alicia, Bilaniuk, Olexa, Durand, Robert

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A fast and robust homography scheme for real-time planar target detection by Bazargani, Hamid, Bilaniuk, Olexa, Laganière, Robert

“…The present paper is concerned with the problem of robust pose estimation for planar targets in the context of real-time mobile vision. For robust recognition…”
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RISC-V Barrel Processor for Deep Neural Network Acceleration by AskariHemmat, MohammadHossein, Bilaniuk, Olexa, Wagner, Sean, Savaria, Yvon, David, Jean-Pierre

“…This paper presents a barrel RISC-V processor designed to control a deep neural network accelerator. Our design has a 5-stage pipeline data path with 8…”
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Bit-Slicing FPGA Accelerator for Quantized Neural Networks by Bilaniuk, Olexa, Wagner, Sean, Savaria, Yvon, David, Jean-Pierre

“…Deep Neural Networks (DNNs) become the state-of-the-art in several domains such as computer vision or speech recognition. However, using DNNs for embedded…”
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BARVINN: Arbitrary Precision DNN Accelerator Controlled by a RISC-V CPU by Askarihemmat, Mohammadhossein, Wagner, Sean, Bilaniuk, Olexa, Hariri, Yassine, Savaria, Yvon, David, Jean-Pierre

“…We present a DNN accelerator that allows inference at arbitrary precision with dedicated processing elements that are configurable at the bit level. Our DNN…”
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BARVINN: Arbitrary Precision DNN Accelerator Controlled by a RISC-V CPU by Askarihemmat, Mohammadhossein, Wagner, Sean, Bilaniuk, Olexa, Hariri, Yassine, Savaria, Yvon, David, Jean-Pierre

“…We present a DNN accelerator that allows inference at arbitrary precision with dedicated processing elements that are configurable at the bit level. Our DNN…”
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Introducing Milabench: Benchmarking Accelerators for AI by Delaunay, Pierre, Bouthillier, Xavier, Breuleux, Olivier, Ortiz-Gagné, Satya, Bilaniuk, Olexa, Normandin, Fabrice, Bergeron, Arnaud, Carrez, Bruno, Alain, Guillaume, Blanc, Soline, Osterrath, Frédéric, Viviano, Joseph, Patil, Roger Creus-Castanyer Darshan, Awal, Rabiul, Zhang, Le

“…AI workloads, particularly those driven by deep learning, are introducing novel usage patterns to high-performance computing (HPC) systems that are not…”
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Learning Neural Causal Models with Active Interventions by Scherrer, Nino, Bilaniuk, Olexa, Annadani, Yashas, Goyal, Anirudh, Schwab, Patrick, Schölkopf, Bernhard, Mozer, Michael C, Bengio, Yoshua, Bauer, Stefan, Ke, Nan Rosemary

“…Discovering causal structures from data is a challenging inference problem of fundamental importance in all areas of science. The appealing properties of…”
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RISC-V Barrel Processor for Accelerator Control by AskariHemmat, MohammadHossein, Bilaniuk, Olexa, Wagner, Sean, Savaria, Yvon, David, Jean-Pierre

“…Hardware accelerators are important in the post-Moore's law era of computing. To maximize performance of such accelerators, most of the logic resources should…”
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A Meta-Transfer Objective for Learning to Disentangle Causal Mechanisms by Bengio, Yoshua, Deleu, Tristan, Rahaman, Nasim, Ke, Rosemary, Lachapelle, Sébastien, Bilaniuk, Olexa, Goyal, Anirudh, Pal, Christopher

“…We propose to meta-learn causal structures based on how fast a learner adapts to new distributions arising from sparse distributional changes, e.g. due to…”
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Learning Neural Causal Models from Unknown Interventions by Ke, Nan Rosemary, Bilaniuk, Olexa, Goyal, Anirudh, Bauer, Stefan, Larochelle, Hugo, Schölkopf, Bernhard, Mozer, Michael C, Pal, Chris, Bengio, Yoshua

“…Promising results have driven a recent surge of interest in continuous optimization methods for Bayesian network structure learning from observational data…”
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Sparse Attentive Backtracking: Temporal CreditAssignment Through Reminding by Ke, Nan Rosemary, Goyal, Anirudh, Bilaniuk, Olexa, Binas, Jonathan, Mozer, Michael C, Pal, Chris, Bengio, Yoshua

“…Learning long-term dependencies in extended temporal sequences requires credit assignment to events far back in the past. The most common method for training…”
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Fast Target Recognition on Mobile Devices: Revisiting Gaussian Elimination for the Estimation of Planar Homographies by Bilaniuk, Olexa, Bazargani, Hamid, Laganiere, Robert

“…This work analyzes the problem of homography estimation for robust target matching in the context of real-time mobile vision. We present a device-friendly…”
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Feedforward Initialization for Fast Inference of Deep Generative Networks is biologically plausible by Bengio, Yoshua, Scellier, Benjamin, Bilaniuk, Olexa, Sacramento, Joao, Senn, Walter

“…We consider deep multi-layered generative models such as Boltzmann machines or Hopfield nets in which computation (which implements inference) is both…”
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Sparse Attentive Backtracking: Long-Range Credit Assignment in Recurrent Networks by Ke, Nan Rosemary, Goyal, Anirudh, Bilaniuk, Olexa, Binas, Jonathan, Charlin, Laurent, Pal, Chris, Bengio, Yoshua

“…A major drawback of backpropagation through time (BPTT) is the difficulty of learning long-term dependencies, coming from having to propagate credit…”
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Fast LBP Face Detection on Low-Power SIMD Architectures by Bilaniuk, Olexa, Fazl-Ersi, Ehsan, Laganiere, Robert, Xu, Christina, Laroche, Daniel, Moulder, Craig

“…This paper presents an embedded implementation of a face detection method based on boosted LBP features for Single Instruction Multiple Data (SIMD)…”
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COVI-AgentSim: an Agent-based Model for Evaluating Methods of Digital Contact Tracing by Gupta, Prateek, Maharaj, Tegan, Weiss, Martin, Rahaman, Nasim, Alsdurf, Hannah, Sharma, Abhinav, Minoyan, Nanor, Harnois-Leblanc, Soren, Schmidt, Victor, Charles, Pierre-Luc St, Deleu, Tristan, Williams, Andrew, Patel, Akshay, Qu, Meng, Bilaniuk, Olexa, Caron, Gaétan Marceau, Carrier, Pierre Luc, Ortiz-Gagné, Satya, Rousseau, Marc-Andre, Buckeridge, David, Ghosn, Joumana, Zhang, Yang, Schölkopf, Bernhard, Tang, Jian, Rish, Irina, Pal, Christopher, Merckx, Joanna, Muller, Eilif B, Bengio, Yoshua

“…The rapid global spread of COVID-19 has led to an unprecedented demand for effective methods to mitigate the spread of the disease, and various digital contact…”
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Deep Complex Networks by Trabelsi, Chiheb, Bilaniuk, Olexa, Zhang, Ying, Serdyuk, Dmitriy, Subramanian, Sandeep, Santos, João Felipe, Mehri, Soroush, Rostamzadeh, Negar, Bengio, Yoshua, Pal, Christopher J

“…At present, the vast majority of building blocks, techniques, and architectures for deep learning are based on real-valued operations and representations…”
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THE STRUCTURE OF OXYGEN-18 by BILANIUK, OLEXA-MYRON

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Semiconductor Particle-Detectors by Bilaniuk, Olexa-Myron

“…The characteristic performance of semiconductor detectors is reviewed and compared with that of ionization chambers. Their advantages are small volume, rapid…”
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