- Leveraging chaotic transients in the training of artificial neural networks
2025/06/10 by Pedro Jiménez-González, Jiménez-González, Pedro, Miguel C. Soriano +3 · 1 voice · 3 citations
Computer Science · #Artificial neural network #Backpropagation #Chaotic #Gradient descent #MNIST database #Neural Networks and Applications #Neural Networks and Reservoir Computing #Set (abstract data type) #Stochastic Gradient Optimization Techniques #Task (project management) #Training (meteorology) #Trajectory
- A Novel Algorithm for Personalized Federated Learning: Knowledge Distillation with Weighted Combination Loss
2025/04/06 by Hengrui Hu, Anai N. Kothari, Hu, Hengrui +3 · 1 citation
Computer Science · #Convergence (economics) #Data Stream Mining Techniques #Distillation #FOS: Computer and information sciences #Federated learning #Independent and identically distributed random variables #MNIST database #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Machine Learning in Healthcare #Multinomial logistic regression #Overhead (engineering) #Perceptron #Personalization #Privacy-Preserving Technologies in Data
- Ephaptic Coupling in Ultralow‐Power Ion‐Gel Nanofiber Artificial Synapses for Enhanced Working Memory
2025/03/10 by Yuanxia Chen, Junfeng Xia, Youzhi Qu +8 · 1 voice · 1 citation
Computer Science · Engineering · Neuroscience · #Advanced Memory and Neural Computing #Artificial intelligence #Artificial neural network #Biology #Computer science #Coupling (piping) #MNIST database #Materials science #Nanotechnology #Neural Networks and Reservoir Computing #Neural dynamics and brain function #Neuromorphic engineering #Neuroscience
- Energy-based learning algorithms for analog computing: a comparative study
2023/12/22 by Benjamin Scellier, Maxence Ernoult, Scellier, Benjamin +5 · 14 citations
Computer Science · Engineering · #Advanced Memory and Neural Computing #Algorithm #Artificial intelligence #Asynchronous communication #Computer Vision and Pattern Recognition (cs.CV) #Computer science #Convolutional neural network #Deep learning #FOS: Computer and information sciences #Ferroelectric and Negative Capacitance Devices #MNIST database #Machine Learning (cs.LG) #Machine Learning and ELM #Machine learning #Multi-task learning #Scalability #Task (project management)
- Bayesian Flow Networks
2023/08/14 by Alex Graves, Graves, Alex, Rupesh Kumar Srivastava +5 · 4 voices · 23 citations
Computer Science · Mathematics · #Algorithm #Artificial intelligence #Artificial neural network #Computer science #Estimator #Generative grammar #Generative model #MNIST database #Machine Learning in Healthcare #Machine learning #Mathematics #Natural Language Processing Techniques #Probability distribution #Statistics #Topic Modeling
- Neuromorphic Computing with AER using Time-to-Event-Margin Propagation
2023/04/27 by Madhuvanthi Srivatsav R, R, Madhuvanthi Srivatsav, Shantanu Chakrabartty +3 · 1 citation
Computer Science · Engineering · #Advanced Memory and Neural Computing #Artificial intelligence #Artificial neural network #Asynchronous communication #Computer architecture #Computer network #Computer science #Convolutional neural network #Event (particle physics) #FOS: Computer and information sciences #Ferroelectric and Negative Capacitance Devices #MNIST database #Machine learning #Margin (machine learning) #Neural Networks and Reservoir Computing #Neural and Evolutionary Computing (cs.NE) #Neuromorphic engineering #Routing (electronic design automation) #Scalability #Spike (software development) #Spiking neural network
- EvoPrompting: Language Models for Code-Level Neural Architecture Search
2023/02/28 by Angelica Chen, David M. Dohan, Chen, Angelica +4 · 1 voice · 30 citations
Computer Science · Engineering · #Adaptation (eye) #Architecture #Artificial intelligence #Artificial neural network #Benchmark (surveying) #Code (set theory) #Computer science #Convolutional neural network #Crossover #Evolutionary Algorithms and Applications #Evolutionary algorithm #Ferroelectric and Negative Capacitance Devices #Language model #MNIST database #Machine learning #Metaheuristic Optimization Algorithms Research #Programming language #Task (project management) #Variety (cybernetics) #cs.AI #cs.CL #cs.LG #cs.NE
- SpinalNet: Deep Neural Network With Gradual Input
2022/06/21 by H M Dipu Kabir, Moloud Abdar, Abbas Khosravi +4 · 1 citation
Neuroscience · Computer Science · #EEG and Brain-Computer Interfaces #Anomaly Detection Techniques and Applications #Advanced Neural Network Applications #MNIST database #Layer (electronics) #Computer science #Computation #Artificial neural network #Artificial intelligence #Deep neural networks #Transfer of learning #Function (biology) #Deep learning #State (computer science) #Transfer (computing) #Pattern recognition (psychology) #Algorithm #Parallel computing #Biology
- MUTEN: Boosting Gradient-Based Adversarial Attacks via Mutant-Based Ensembles
2021/09/27 by Yuejun Guo, Qiang Hu, Guo, Yuejun +7 · 1 citation
Computer Science · #Advanced Neural Network Applications #Adversarial Robustness in Machine Learning #Adversarial system #Anomaly Detection Techniques and Applications #Artificial intelligence #Artificial neural network #Boosting (machine learning) #Computer Vision and Pattern Recognition (cs.CV) #Computer science #Computer security #Cryptography and Security (cs.CR) #Deep neural networks #FOS: Computer and information sciences #Key (lock) #MNIST database #Machine Learning (cs.LG) #Machine learning #Masking (illustration) #Process (computing) #cs.CR #cs.CV #cs.LG
- Dive into Layers: Neural Network Capacity Bounding using Algebraic Geometry
2021/09/03 by Ji Yang, Ji Hyun Yang, Yang, Ji +4 · 1 citation
Biochemistry, Genetics and Molecular Biology · Computer Science · Mathematics · Neuroscience · #Algorithm #Artificial intelligence #Artificial neural network #Betti number #Bounding overwatch #Cell Image Analysis Techniques #Combinatorics #Computer science #Discrete mathematics #FOS: Computer and information sciences #Geography #Learnability #MNIST database #Machine Learning (cs.LG) #Mathematics #Network architecture #Neural and Evolutionary Computing (cs.NE) #Neuroinflammation and Neurodegeneration Mechanisms #Scale (ratio) #Selection (genetic algorithm) #Theoretical computer science #Topological and Geometric Data Analysis #Topology (electrical circuits) #cs.LG #cs.NE
- Advancing Neuromorphic Computing With Loihi: A Survey of Results and Outlook
2021/04/06 by Mike Davies, Andreas Wild, Garrick Orchard +6 · 81 citations
Computer Science · Engineering · #Advanced Memory and Neural Computing #Algorithm #Artificial intelligence #Artificial neural network #Computation #Computer architecture #Computer science #Deep learning #Ferroelectric and Negative Capacitance Devices #MNIST database #Machine learning #Neural Networks and Reservoir Computing #Neuromorphic engineering #Spike (software development) #Spiking neural network
- Training DNNs in O(1) memory with MEM-DFA using Random Matrices
2020/12/21 by Tien Dung Chu, Tien Chu, Kamil Mykitiuk +8 · 1 voice · 1 citation
Computer Science · Engineering · Mathematics · #Advanced Memory and Neural Computing #Algorithm #Artificial intelligence #Artificial neural network #Backpropagation #Computer Vision and Pattern Recognition (cs.CV) #Computer science #Constant (computer programming) #FOS: Computer and information sciences #Independence (probability theory) #MNIST database #Machine Learning and ELM #Mathematics #Neural Networks and Applications #Statistics #cs.CV
- Event-Based Backpropagation can compute Exact Gradients for Spiking Neural Networks
2020/09/17 by Timo C. Wunderlich, Christian Pehle · 2 voices · 22 citations
Biochemistry, Genetics and Molecular Biology · Computer Science · Engineering · #Activation function #Advanced Memory and Neural Computing #Artificial neural network #Backpropagation #Ferroelectric and Negative Capacitance Devices #Learning rule #MNIST database #Neural Networks and Reservoir Computing #Spike (software development) #Spike train #Spiking neural network #cs.NE #q-bio.NC
- Conditional Image Generation with One-Vs-All Classifier
2020/09/18 by Xiangrui Xu, Yaqin Li, Xu, Xiangrui +4 · 1 citation
Computer Science · Mathematics · #Advanced Image Processing Techniques #Algorithm #Artificial intelligence #Artificial neural network #Classifier (UML) #Computer Vision and Pattern Recognition (cs.CV) #Computer science #Discriminator #Divergence (linguistics) #FOS: Computer and information sciences #Generative Adversarial Networks and Image Synthesis #Generative adversarial network #Generative grammar #Image (mathematics) #Image Retrieval and Classification Techniques #MNIST database #Machine learning #Mathematics #Pattern recognition (psychology) #cs.CV
- Tackling mode collapse in multi-generator GANs with orthogonal vectors
2020/09/14 by Wei Li, Li Fan, Zhenyu Wang +2 · 12 citations
Computer Science · Mathematics · Physics and Astronomy · #Algorithm #Anomaly Detection Techniques and Applications #Artificial intelligence #Computer science #Deep learning #Discriminator #Encoder #Feature (linguistics) #Feature vector #Generative Adversarial Networks and Image Synthesis #Generator (circuit theory) #MNIST database #Machine learning #Mathematical optimization #Mathematics #Minimax #Mode (computer interface) #Model Reduction and Neural Networks #Pattern recognition (psychology) #Physics #Power (physics) #Value (mathematics)
- Can Single Neurons Solve MNIST? The Computational Power of Biological Dendritic Trees
2020/09/02 by Ilenna Simone Jones, Ilenna Jones, Jones, Ilenna Simone +3 · 1 voice · 3 citations
Biochemistry, Genetics and Molecular Biology · Engineering · Mathematics · Neuroscience · #Advanced Memory and Neural Computing #Artificial intelligence #Artificial neural network #Biological neuron model #Biological system #Biology #Computer science #Dendrite (mathematics) #MNIST database #Mathematics #Neural dynamics and brain function #Neuroscience and Neuropharmacology Research #Nonlinear system #Physics #Process (computing) #Sequence (biology) #Tree (set theory) #q-bio.NC
- Gradient descent with momentum --- to accelerate or to super-accelerate?
2020/01/17 by Goran Nakerst, Nakerst, Goran, John Brennan +3 · 1 citation
Computer Science · Mathematics · #Acceleration #Advanced Neural Network Applications #Algorithm #Artificial intelligence #Artificial neural network #Classical mechanics #Computer science #FOS: Computer and information sciences #FOS: Mathematics #Function (biology) #Geometry #Gradient descent #Hyperparameter #MNIST database #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Mathematical optimization #Mathematics #Minification #Momentum (technical analysis) #Neural Networks and Applications #Optimization and Control (math.OC) #Physics #Position (finance) #Quadratic equation #Stochastic Gradient Optimization Techniques #cs.LG #math.OC #stat.ML
- Hardware Accelerator for Adversarial Attacks on Deep Learning Neural Networks
2019/10/01 by Haoqiang Guo, Lu Peng, Jian Zhang +2 · 1 voice
Computer Science · Engineering · #Advanced Memory and Neural Computing #Adversarial Robustness in Machine Learning #Adversarial system #Artificial intelligence #Artificial neural network #Computer engineering #Computer science #Crossbar switch #Deep learning #Deep neural networks #Implementation #MNIST database #Machine learning #Physical Unclonable Functions (PUFs) and Hardware Security #Robustness (evolution) #Throughput #Wireless #acm:68-06 #cs.AR #cs.LG #eess.SP #msc:68-06
- A Constructive Approach for One-Shot Training of Neural Networks Using Hypercube-Based Topological Coverings
2019/01/09 by W. Brent Daniel, Daniel, W. Brent, Enoch Yeung +1 · 2 voices
Computer Science · Mathematics · Medicine · #Advanced Neuroimaging Techniques and Applications #Algorithm #Artificial intelligence #Artificial neural network #Computer science #Constructive #Deep learning #MNIST database #Machine learning #Overfitting #Pattern recognition (psychology) #Perceptron #Tensor decomposition and applications #Topological and Geometric Data Analysis #cs.LG #stat.ML
- Adversarial Deep Learning Models with Multiple Adversaries
2018/06/28 by Aneesh Sreevallabh Chivukula, Wei Liu · 1 citation
Computer Science · Mathematics · #Adversarial Robustness in Machine Learning #Advanced Malware Detection Techniques #Anomaly Detection Techniques and Applications #Computer science #Stackelberg competition #Artificial intelligence #Nash equilibrium #MNIST database #Adversarial system #Stochastic game #Adversary #Convolutional neural network #Best response #Machine learning #Minimax #Game theory #Deep learning #Theoretical computer science #Mathematical optimization #Computer security #Mathematical economics #Mathematics
- GILBO: One Metric to Measure Them All
2018/02/13 by Alexander A. Alemi, Ian Fischer, Alemi, Alexander A. +1 · 2 citations
Computer Science · Mathematics · #Algorithm #Artificial intelligence #Computer science #Data mining #Deep learning #FOS: Computer and information sciences #Generative Adversarial Networks and Image Synthesis #Generative grammar #Generative model #Latent variable #Latent variable model #MNIST database #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Mathematics #Measure (data warehouse) #Metric (unit) #Music and Audio Processing #Mutual information #Pattern recognition (psychology) #Simple (philosophy) #Topic Modeling #Upper and lower bounds #Variable (mathematics) #cs.LG #stat.ML
- Improving Variational Auto-Encoders using convex combination linear Inverse Autoregressive Flow
2017/06/07 by Jakub M. Tomczak, Max Welling, Tomczak, Jakub M. +1 · 1 citation
Computer Science · Mathematics · #AI in cancer detection #Algorithm #Applied mathematics #Artificial intelligence #Artificial neural network #Autoregressive model #Computer science #Diagonal #FOS: Computer and information sciences #Flow (mathematics) #Generative Adversarial Networks and Image Synthesis #Geometry #Inverse #MNIST database #Machine Learning (stat.ML) #Mathematical optimization #Mathematics #Medical Image Segmentation Techniques #Regular polygon #Statistics #stat.ML
- A Study of Complex Deep Learning Networks on High Performance, Neuromorphic, and Quantum Computers
2017/03/15 by Thomas E. Potok, Catherine Schuman, Catherine D. Schuman +18 · 1 voice · 1 citation
Computer Science · Engineering · #Advanced Memory and Neural Computing #Artificial intelligence #Artificial neural network #Computer architecture #Computer engineering #Computer network #Computer science #Convolutional neural network #Deep learning #Distributed computing #Electrical engineering #Ferroelectric and Negative Capacitance Devices #Layer (electronics) #MNIST database #Network topology #Neural Networks and Reservoir Computing #Neuromorphic engineering #Quantum #Quantum computer #Topology (electrical circuits) #cs.LG #cs.NE
- PathNet: Evolution Channels Gradient Descent in Super Neural Networks
2017/01/30 by Chrisantha Fernando, Fernando, Chrisantha, Dylan Banarse +14 · 3 voices · 127 citations
Computer Science · Engineering · #Advanced Memory and Neural Computing #Artificial intelligence #Artificial neural network #Computer science #Fitness function #Genetic algorithm #MNIST database #Machine learning #Neural Networks and Applications #Population #Reinforcement Learning in Robotics #Reinforcement learning #Task (project management) #cs.LG #cs.NE
- Neurogenesis Deep Learning
2016/12/12 by Timothy J. Draelos, Nadine E. Miner, Christopher C. Lamb +7 · 1 voice · 12 citations
Computer Science · Engineering · Mathematics · Neuroscience · #Advanced Memory and Neural Computing #Artificial intelligence #Artificial neural network #Computer science #Deep learning #MNIST database #Machine learning #Neurogenesis and neuroplasticity mechanisms #Neuroscience and Neuropharmacology Research #cs.LG #cs.NE #stat.ML
- Variational Lossy Autoencoder
2016/11/08 by Xi Chen, Diederik P. Kingma, Chen, Xi +13 · 1 voice · 93 citations
Computer Science · Mathematics · #Algorithm #Artificial intelligence #Autoencoder #Autoregressive model #Code (set theory) #Computer science #Decoding methods #Deep learning #Domain Adaptation and Few-Shot Learning #Encoding (memory) #Feature learning #Generative Adversarial Networks and Image Synthesis #Generative grammar #Generative model #Human Pose and Action Recognition #Lossy compression #MNIST database #Machine learning #Mathematics #Pattern recognition (psychology) #Representation (politics) #cs.LG #stat.ML
- Semi-supervised Knowledge Transfer for Deep Learning from Private Training Data
2016/10/18 by Nicolas Papernot, Papernot, Nicolas, Martín Abadi +8 · 2 voices · 34 citations
Computer Science · Mathematics · #Adversarial Robustness in Machine Learning #Adversary #Artificial intelligence #Black box #Computer science #Computer security #Data mining #Deep learning #Differential privacy #Disjoint sets #Labeled data #MNIST database #Machine learning #Privacy-Preserving Technologies in Data #cs.CR #cs.LG #stat.ML
- Video Pixel Networks
2016/10/03 by Nal Kalchbrenner, Aäron van den Oord, Aaron van den Oord +12 · 1 voice · 10 citations
Computer Science · Engineering · #Advanced Vision and Imaging #Artificial intelligence #Artificial neural network #Benchmark (surveying) #Cartography #Computer Vision and Pattern Recognition (cs.CV) #Computer science #Computer vision #ENCODE #Engineering #FOS: Computer and information sciences #Generative Adversarial Networks and Image Synthesis #Geography #Ground truth #Human Pose and Action Recognition #Joint (building) #MNIST database #Machine Learning (cs.LG) #Pattern recognition (psychology) #Pixel #Probabilistic logic #cs.CV #cs.LG
- Discrete Variational Autoencoders
2016/09/07 by Jason Tyler Rolfe, Rolfe, Jason Tyler · 1 voice · 7 citations
Computer Science · Mathematics · #AI in cancer detection #Algorithm #Artificial intelligence #Artificial neural network #Autoencoder #Backpropagation #Component (thermodynamics) #Computer science #Generative Adversarial Networks and Image Synthesis #Human Pose and Action Recognition #Invariant (physics) #Latent variable #MNIST database #Mathematics #Pattern recognition (psychology) #Permutation (music) #Pixel #Probabilistic logic #cs.LG #stat.ML
- Improved Techniques for Training GANs
2016/06/10 by Tim Salimans, Ian Goodfellow, Salimans, Tim +9 · 1 voice · 745 citations
Biochemistry, Genetics and Molecular Biology · Computer Science · #Artificial intelligence #Artificial neural network #Cell Image Analysis Techniques #Computer science #Deep learning #Digital Media Forensic Detection #Focus (optics) #Generative Adversarial Networks and Image Synthesis #Generative grammar #Generative model #Image (mathematics) #MNIST database #Machine learning #Pattern recognition (psychology) #Supervised learning #Turing test #Variety (cybernetics) #cs.CV #cs.LG #cs.NE
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