All papers published in past two days:
Category: Neural and Evolutionary Computing
#NeuralandEvolutionaryComputing
π Theory of Estimation-of-Distribution Algorithms
π₯ Martin S. Krejca, Carsten Witt
π PDF
π Parameter Learning and Change Detection Using a Particle Filter With Accelerated Adaptation
π₯ Karol Gellert, Erik SchlΓΆgl
π PDF
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Category: Neural and Evolutionary Computing
#NeuralandEvolutionaryComputing
π Theory of Estimation-of-Distribution Algorithms
π₯ Martin S. Krejca, Carsten Witt
π PDF
π Parameter Learning and Change Detection Using a Particle Filter With Accelerated Adaptation
π₯ Karol Gellert, Erik SchlΓΆgl
π PDF
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Latest Published Articles:
Neural and Evolutionary Computing
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π Theory of Estimation-of-Distribution Algorithms
π₯ Martin S. Krejca, Carsten Witt
π PDF
π Parameter Learning and Change Detection Using a Particle Filter With Accelerated Adaptation
π₯ Karol Gellert, Erik SchlΓΆgl
π PDF
π Apuntes de Redes Neuronales Artificiales
π₯ J. C. Cuevas-Tello
π PDF
π Manifold Mixup: Encouraging Meaningful On-Manifold Interpolation as a Regularizer
π₯ Vikas Verma, Alex Lamb, Christopher Beckham, Aaron Courville, Ioannis Mitliagkis, Yoshua Bengio
π PDF
π Exploiting Inherent Error-Resiliency of Neuromorphic Computing to achieve Extreme Energy-Efficiency through Mixed-Signal Neurons
π₯ Baibhab Chatterjee, Priyadarshini Panda, Shovan Maity, Ayan Biswas, Kaushik Roy, Shreyas Sen
π PDF
π A Probabilistic U-Net for Segmentation of Ambiguous Images
π₯ Simon A. A. Kohl, Bernardino Romera-Paredes, Clemens Meyer, Jeffrey De Fauw, Joseph R. Ledsam, Klaus H. Maier-Hein, S. M. Ali Eslami, Danilo Jimenez Rezende, Olaf Ronneberger
π PDF
π Reservoir Computing Hardware with Cellular Automata
π₯ Alejandro MorΓ‘n, Christiam F. Frasser, Josep L. RossellΓ³
π PDF
π Unsupervised Adaptation with Interpretable Disentangled Representations for Distant Conversational Speech Recognition
π₯ Wei-Ning Hsu, Hao Tang, James Glass
π PDF
π Adversarial Attacks on Variational Autoencoders
π₯ George Gondim-Ribeiro, Pedro Tabacof, Eduardo Valle
π PDF
π Predicting Citation Counts with a Neural Network
π₯ Tobias Mistele, Tom Price, Sabine Hossenfelder
π PDF
π Benchmarking Evolutionary Algorithms For Real-valued Constrained Optimization - A Critical Review
π₯ Michael Hellwig, Hans-Georg Beyer
π PDF
π Combining Model-Free Q-Ensembles and Model-Based Approaches for Informed Exploration
π₯ Sreecharan Sankaranarayanan, Raghuram Mandyam Annasamy, Katia Sycara, Carolyn Penstein RosΓ©
π PDF
π Online Parallel Portfolio Selection with Heterogeneous Island Model
π₯ Ε tΔpΓ‘n Balcar, Martin PilΓ‘t
π PDF
π Using Chaos in Grey Wolf Optimizer and Application to Prime Factorization
π₯ Harshit Mehrotra, Dr. Saibal K. Pal
π PDF
π Optimizing Variational Quantum Circuits using Evolution Strategies
π₯ Johannes S. Otterbach
π PDF
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Neural and Evolutionary Computing
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π Theory of Estimation-of-Distribution Algorithms
π₯ Martin S. Krejca, Carsten Witt
π PDF
π Parameter Learning and Change Detection Using a Particle Filter With Accelerated Adaptation
π₯ Karol Gellert, Erik SchlΓΆgl
π PDF
π Apuntes de Redes Neuronales Artificiales
π₯ J. C. Cuevas-Tello
π PDF
π Manifold Mixup: Encouraging Meaningful On-Manifold Interpolation as a Regularizer
π₯ Vikas Verma, Alex Lamb, Christopher Beckham, Aaron Courville, Ioannis Mitliagkis, Yoshua Bengio
π PDF
π Exploiting Inherent Error-Resiliency of Neuromorphic Computing to achieve Extreme Energy-Efficiency through Mixed-Signal Neurons
π₯ Baibhab Chatterjee, Priyadarshini Panda, Shovan Maity, Ayan Biswas, Kaushik Roy, Shreyas Sen
π PDF
π A Probabilistic U-Net for Segmentation of Ambiguous Images
π₯ Simon A. A. Kohl, Bernardino Romera-Paredes, Clemens Meyer, Jeffrey De Fauw, Joseph R. Ledsam, Klaus H. Maier-Hein, S. M. Ali Eslami, Danilo Jimenez Rezende, Olaf Ronneberger
π PDF
π Reservoir Computing Hardware with Cellular Automata
π₯ Alejandro MorΓ‘n, Christiam F. Frasser, Josep L. RossellΓ³
π PDF
π Unsupervised Adaptation with Interpretable Disentangled Representations for Distant Conversational Speech Recognition
π₯ Wei-Ning Hsu, Hao Tang, James Glass
π PDF
π Adversarial Attacks on Variational Autoencoders
π₯ George Gondim-Ribeiro, Pedro Tabacof, Eduardo Valle
π PDF
π Predicting Citation Counts with a Neural Network
π₯ Tobias Mistele, Tom Price, Sabine Hossenfelder
π PDF
π Benchmarking Evolutionary Algorithms For Real-valued Constrained Optimization - A Critical Review
π₯ Michael Hellwig, Hans-Georg Beyer
π PDF
π Combining Model-Free Q-Ensembles and Model-Based Approaches for Informed Exploration
π₯ Sreecharan Sankaranarayanan, Raghuram Mandyam Annasamy, Katia Sycara, Carolyn Penstein RosΓ©
π PDF
π Online Parallel Portfolio Selection with Heterogeneous Island Model
π₯ Ε tΔpΓ‘n Balcar, Martin PilΓ‘t
π PDF
π Using Chaos in Grey Wolf Optimizer and Application to Prime Factorization
π₯ Harshit Mehrotra, Dr. Saibal K. Pal
π PDF
π Optimizing Variational Quantum Circuits using Evolution Strategies
π₯ Johannes S. Otterbach
π PDF
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π Lamarckian Evolution of Convolutional Neural Networks
π₯ Jonas Prellberg, Oliver Kramer
π PDF
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π Lamarckian Evolution of Convolutional Neural Networks
π₯ Jonas Prellberg, Oliver Kramer
π PDF
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π Cardiopulmonary Resuscitation Quality Parameters from Motion Capture Data using Differential Evolution Fitting of Sinusoids
π₯ Christian Lins, Daniel Eckhoff, Andreas Klausen, Sandra Hellmers, Andreas Hein, Sebastian Fudickar
π PDF
π Limited Evaluation Evolutionary Optimization of Large Neural Networks
π₯ Jonas Prellberg, Oliver Kramer
π PDF
π On an Immuno-inspired Distributed, Embodied Action-Evolution cum Selection Algorithm
π₯ Tushar Semwal, Divya D Kulkarni, Shivashankar B. Nair
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π Evotype: Towards the Evolution of Type Stencils
π₯ Tiago Martins, JoΓ£o Correia, Ernesto Costa, Penousal Machado
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π Artificial Quantum Neural Network: quantum neurons, logical elements and tests of convolutional nets
π₯ V. I. Dorozhinsky, O. V. Pavlovsky
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π Cardiopulmonary Resuscitation Quality Parameters from Motion Capture Data using Differential Evolution Fitting of Sinusoids
π₯ Christian Lins, Daniel Eckhoff, Andreas Klausen, Sandra Hellmers, Andreas Hein, Sebastian Fudickar
π PDF
π Limited Evaluation Evolutionary Optimization of Large Neural Networks
π₯ Jonas Prellberg, Oliver Kramer
π PDF
π On an Immuno-inspired Distributed, Embodied Action-Evolution cum Selection Algorithm
π₯ Tushar Semwal, Divya D Kulkarni, Shivashankar B. Nair
π PDF
π Evotype: Towards the Evolution of Type Stencils
π₯ Tiago Martins, JoΓ£o Correia, Ernesto Costa, Penousal Machado
π PDF
π Artificial Quantum Neural Network: quantum neurons, logical elements and tests of convolutional nets
π₯ V. I. Dorozhinsky, O. V. Pavlovsky
π PDF
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π Benchmarking Neural Network Robustness to Common Corruptions and Surface Variations
π₯ Dan Hendrycks, Thomas G. Dietterich
π PDF
π Curiosity Driven Exploration of Learned Disentangled Goal Spaces
π₯ Adrien Laversanne-Finot, Alexandre PΓ©rΓ©, Pierre-Yves Oudeyer
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π SGAD: Soft-Guided Adaptively-Dropped Neural Network
π₯ Zhisheng Wang, Fangxuan Sun, Jun Lin, Zhongfeng Wang, Bo Yuan
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π Selective Deep Convolutional Neural Network for Low Cost Distorted Image Classification
π₯ Minho Ha, Younghoon Byeon, Youngjoo Lee, Sunggu Lee
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π On decision regions of narrow deep neural networks
π₯ Hans-Peter Beise, Steve Dias Da Cruz, Udo SchrΓΆder
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π Benchmarking Neural Network Robustness to Common Corruptions and Surface Variations
π₯ Dan Hendrycks, Thomas G. Dietterich
π PDF
π Curiosity Driven Exploration of Learned Disentangled Goal Spaces
π₯ Adrien Laversanne-Finot, Alexandre PΓ©rΓ©, Pierre-Yves Oudeyer
π PDF
π SGAD: Soft-Guided Adaptively-Dropped Neural Network
π₯ Zhisheng Wang, Fangxuan Sun, Jun Lin, Zhongfeng Wang, Bo Yuan
π PDF
π Selective Deep Convolutional Neural Network for Low Cost Distorted Image Classification
π₯ Minho Ha, Younghoon Byeon, Youngjoo Lee, Sunggu Lee
π PDF
π On decision regions of narrow deep neural networks
π₯ Hans-Peter Beise, Steve Dias Da Cruz, Udo SchrΓΆder
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π Recurrent Auto-Encoder Model for Large-Scale Industrial Sensor Signal Analysis
π₯ Timothy Wong, Zhiyuan Luo
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π DLOPT: Deep Learning Optimization Library
π₯ AndrΓ©s Camero, Jamal Toutouh, Enrique Alba
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π Significance-based Estimation-of-Distribution Algorithms
π₯ Benjamin Doerr, Martin Krejca
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π Fine Tuning Method by using Knowledge Acquisition from Deep Belief Network
π₯ Shin Kamada, Takumi Ichimura
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π An Adaptive Learning Method of Deep Belief Network by Layer Generation Algorithm
π₯ Shin Kamada, Takumi Ichimura
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π Recurrent Auto-Encoder Model for Large-Scale Industrial Sensor Signal Analysis
π₯ Timothy Wong, Zhiyuan Luo
π PDF
π DLOPT: Deep Learning Optimization Library
π₯ AndrΓ©s Camero, Jamal Toutouh, Enrique Alba
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π Significance-based Estimation-of-Distribution Algorithms
π₯ Benjamin Doerr, Martin Krejca
π PDF
π Fine Tuning Method by using Knowledge Acquisition from Deep Belief Network
π₯ Shin Kamada, Takumi Ichimura
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π An Adaptive Learning Method of Deep Belief Network by Layer Generation Algorithm
π₯ Shin Kamada, Takumi Ichimura
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π Towards Distributed Coevolutionary GANs
π₯ Tom Schmiedlechner, Abdullah Al-Dujaili, Erik Hemberg, Una-May O'Reilly
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π What is not where: the challenge of integrating spatial representations into deep learning architectures
π₯ John D. Kelleher, Simon Dobnik
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π Multi-criteria Evolution of Neural Network Topologies: Balancing Experience and Performance in Autonomous Systems
π₯ Sharat Chidambaran, Amir Behjat, Souma Chowdhury
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π Distance-based Kernels for Surrogate Model-based Neuroevolution
π₯ JΓΆrg Stork, Martin Zaefferer, Thomas Bartz-Beielstein
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π Rapid Time Series Prediction with a Hardware-Based Reservoir Computer
π₯ Daniel Canaday, Aaron Griffith, Daniel Gauthier
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π Towards Distributed Coevolutionary GANs
π₯ Tom Schmiedlechner, Abdullah Al-Dujaili, Erik Hemberg, Una-May O'Reilly
π PDF
π What is not where: the challenge of integrating spatial representations into deep learning architectures
π₯ John D. Kelleher, Simon Dobnik
π PDF
π Multi-criteria Evolution of Neural Network Topologies: Balancing Experience and Performance in Autonomous Systems
π₯ Sharat Chidambaran, Amir Behjat, Souma Chowdhury
π PDF
π Distance-based Kernels for Surrogate Model-based Neuroevolution
π₯ JΓΆrg Stork, Martin Zaefferer, Thomas Bartz-Beielstein
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π Rapid Time Series Prediction with a Hardware-Based Reservoir Computer
π₯ Daniel Canaday, Aaron Griffith, Daniel Gauthier
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