Andreas Knoblauch - Related publications

Affiliations: 
Honda Research Institute Europe, Frankfurt, Offenbach am Main, Hessen, Germany 
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50 most relevant papers in past 60 days:
Year Citation  Score
2019 Jordan J, Weidel P, Morrison A. A Closed-Loop Toolchain for Neural Network Simulations of Learning Autonomous Agents. Frontiers in Computational Neuroscience. 13: 46. PMID 31427939 DOI: 10.3389/fncom.2019.00046   
2019 Kietzmann TC, Spoerer CJ, Sörensen LKA, Cichy RM, Hauk O, Kriegeskorte N. Recurrence is required to capture the representational dynamics of the human visual system. Proceedings of the National Academy of Sciences of the United States of America. PMID 31591217 DOI: 10.1073/pnas.1905544116   
2019 Barth AL, Ray A. Progressive Circuit Changes during Learning and Disease. Neuron. 104: 37-46. PMID 31600514 DOI: 10.1016/j.neuron.2019.09.032   
2019 Rule ME, O'Leary T, Harvey CD. Causes and consequences of representational drift. Current Opinion in Neurobiology. 58: 141-147. PMID 31569062 DOI: 10.1016/j.conb.2019.08.005   
2019 Ponghiran W, Srinivasan G, Roy K. Reinforcement Learning With Low-Complexity Liquid State Machines. Frontiers in Neuroscience. 13: 883. PMID 31507361 DOI: 10.3389/fnins.2019.00883   
2019 Stawarczyk D, Bezdek MA, Zacks JM. Event Representations and Predictive Processing: The Role of the Midline Default Network Core. Topics in Cognitive Science. PMID 31486286 DOI: 10.1111/tops.12450   
2019 Rotermund D, Pawelzik KR. Back-Propagation Learning in Deep Spike-By-Spike Networks. Frontiers in Computational Neuroscience. 13: 55. PMID 31456677 DOI: 10.3389/fncom.2019.00055   
2019 Hohman F, Park H, Robinson C, Chau DH. SUMMIT: Scaling Deep Learning Interpretability by Visualizing Activation and Attribution Summarizations. Ieee Transactions On Visualization and Computer Graphics. PMID 31443005 DOI: 10.1109/TVCG.2019.2934659   
2019 Yuan M, Wu X, Tang H, Yan R. Reinforcement Learning in Spiking Neural Networks with Stochastic and Deterministic Synapses. Neural Computation. 1-22. PMID 31614099 DOI: 10.1162/neco_a_01238   
2019 Yang Y, Xu B, Shen S, Shen F, Zhao J. Operation-aware Neural Networks for user response prediction. Neural Networks : the Official Journal of the International Neural Network Society. 121: 161-168. PMID 31563699 DOI: 10.1016/j.neunet.2019.09.020   
2019 Solouki S, Bahrami F, Janahmadi M. The Concept of Transmission Coefficient Among Different Cerebellar Layers: A Computational Tool for Analyzing Motor Learning. Frontiers in Neural Circuits. 13: 54. PMID 31507382 DOI: 10.3389/fncir.2019.00054   
2019 Zeid O, Bullock D. Moving in time: Simulating how neural circuits enable rhythmic enactment of planned sequences. Neural Networks : the Official Journal of the International Neural Network Society. PMID 31522826 DOI: 10.1016/j.neunet.2019.08.006   
2019 Haga T, Fukai T. Extended Temporal Association Memory by Modulations of Inhibitory Circuits. Physical Review Letters. 123: 078101. PMID 31491118 DOI: 10.1103/PhysRevLett.123.078101   
2019 Chrysanthidis N, Fiebig F, Lansner A. Introducing double bouquet cells into a modular cortical associative memory model. Journal of Computational Neuroscience. PMID 31502234 DOI: 10.1007/s10827-019-00729-1   
2019 Cherukuri V, G VKB, Bala R, Monga V. Deep Retinal Image Segmentation with Regularization Under Geometric Priors. Ieee Transactions On Image Processing : a Publication of the Ieee Signal Processing Society. PMID 31613766 DOI: 10.1109/TIP.2019.2946078   
2019 Wang X, Lyu J, Dong L, Xu K. Multitask learning for biomedical named entity recognition with cross-sharing structure. Bmc Bioinformatics. 20: 427. PMID 31419937 DOI: 10.1186/s12859-019-3000-5   
2019 Sinz FH, Pitkow X, Reimer J, Bethge M, Tolias AS. Engineering a Less Artificial Intelligence. Neuron. 103: 967-979. PMID 31557461 DOI: 10.1016/j.neuron.2019.08.034   
2019 Hao Y, Huang X, Dong M, Xu B. A biologically plausible supervised learning method for spiking neural networks using the symmetric STDP rule. Neural Networks : the Official Journal of the International Neural Network Society. 121: 387-395. PMID 31593843 DOI: 10.1016/j.neunet.2019.09.007   
2019 Xie X, Liu G, Cai Q, Wei P, Qu H. Multi-source sequential knowledge regression by using transfer RNN units. Neural Networks : the Official Journal of the International Neural Network Society. 119: 151-161. PMID 31446234 DOI: 10.1016/j.neunet.2019.08.004   
2019 Yang HF, Lin K, Chen TY, Chen CS. Cross-Batch Reference Learning for Deep Retrieval. Ieee Transactions On Neural Networks and Learning Systems. PMID 31545744 DOI: 10.1109/TNNLS.2019.2936876   
2019 Saunders DJ, Patel D, Hazan H, Siegelmann HT, Kozma R. Locally connected spiking neural networks for unsupervised feature learning. Neural Networks : the Official Journal of the International Neural Network Society. 119: 332-340. PMID 31499357 DOI: 10.1016/j.neunet.2019.08.016   
2019 Brzosko Z, Mierau SB, Paulsen O. Neuromodulation of Spike-Timing-Dependent Plasticity: Past, Present, and Future. Neuron. 103: 563-581. PMID 31437453 DOI: 10.1016/j.neuron.2019.05.041   
2019 Li J, Wu S, Liu C, Yu Z, Wong HS. Semi-Supervised Deep Coupled Ensemble Learning with Classification Landmark Exploration. Ieee Transactions On Image Processing : a Publication of the Ieee Signal Processing Society. PMID 31425030 DOI: 10.1109/TIP.2019.2933724   
2019 Nair S, Nenert RE, Allendorfer JB, Goodman AM, Vannest J, Mirman D, Szaflarski JP. Sex, Age, and Handedness Modulate the Neural Correlates of Active Learning. Frontiers in Neuroscience. 13: 961. PMID 31572114 DOI: 10.3389/fnins.2019.00961   
2019 Maye A, Wang P, Daume J, Hu X, Engel AK. An Oscillator Ensemble Model of Sequence Learning. Frontiers in Integrative Neuroscience. 13: 43. PMID 31481883 DOI: 10.3389/fnint.2019.00043   
2019 Kawaguchi K, Huang J, Kaelbling LP. Every Local Minimum Value Is the Global Minimum Value of Induced Model in Nonconvex Machine Learning. Neural Computation. 1-31. PMID 31614105 DOI: 10.1162/neco_a_01234   
2019 Geiger M, Spigler S, d'Ascoli S, Sagun L, Baity-Jesi M, Biroli G, Wyart M. Jamming transition as a paradigm to understand the loss landscape of deep neural networks. Physical Review. E. 100: 012115. PMID 31499782 DOI: 10.1103/PhysRevE.100.012115   
2019 Li J, Xiao Z, Li P, Ding Z. Networked controller and observer design of discrete-time systems with inaccurate model parameters. Isa Transactions. PMID 31466726 DOI: 10.1016/j.isatra.2019.08.029   
2019 Camuñas-Mesa LA, Linares-Barranco B, Serrano-Gotarredona T. Neuromorphic Spiking Neural Networks and Their Memristor-CMOS Hardware Implementations. Materials (Basel, Switzerland). 12. PMID 31461877 DOI: 10.3390/ma12172745   
2019 Caicedo-Torres W, Gutierrez J. ISeeU: Visually interpretable deep learning for mortality prediction inside the ICU. Journal of Biomedical Informatics. 103269. PMID 31430550 DOI: 10.1016/j.jbi.2019.103269   
2019 Maldonado R, Harabagiu SM. Active Deep Learning for the Identification of Concepts and Relations in Electroencephalography Reports. Journal of Biomedical Informatics. 103265. PMID 31470094 DOI: 10.1016/j.jbi.2019.103265   
2019 Lyu K, Li Y, Zhang Z. Attention-Aware Multi-Task Convolutional Neural Networks. Ieee Transactions On Image Processing : a Publication of the Ieee Signal Processing Society. PMID 31603785 DOI: 10.1109/TIP.2019.2944522   
2019 Park YJ, Cho YS, Kim SB. Multi-agent reinforcement learning with approximate model learning for competitive games. Plos One. 14: e0222215. PMID 31509568 DOI: 10.1371/journal.pone.0222215   
2019 Yang J, Xu J, Zhang X, Wu C, Lin T, Ying Y. Deep learning for vibrational spectral analysis: Recent progress and a practical guide. Analytica Chimica Acta. 1081: 6-17. PMID 31446965 DOI: 10.1016/j.aca.2019.06.012   
2019 Tan AH, Subagdja B, Wang D, Meng L. Self-organizing neural networks for universal learning and multimodal memory encoding. Neural Networks : the Official Journal of the International Neural Network Society. PMID 31537437 DOI: 10.1016/j.neunet.2019.08.020   
2019 Spinner T, Schlegel U, Schafer H, El-Assady M. explAIner: A Visual Analytics Framework for Interactive and Explainable Machine Learning. Ieee Transactions On Visualization and Computer Graphics. PMID 31442998 DOI: 10.1109/TVCG.2019.2934629   
2019 Yue X, Wang Z, Huang J, Parthasarathy S, Moosavinasab S, Huang Y, Lin SM, Zhang W, Zhang P, Sun H. Graph Embedding on Biomedical Networks: Methods, Applications, and Evaluations. Bioinformatics (Oxford, England). PMID 31584634 DOI: 10.1093/bioinformatics/btz718   
2019 Lai Q, Wang W, Sun H, Shen J. Video Saliency Prediction using Spatiotemporal Residual Attentive Networks. Ieee Transactions On Image Processing : a Publication of the Ieee Signal Processing Society. PMID 31449021 DOI: 10.1109/TIP.2019.2936112   
2019 Akulin VM, Carlier F, Solnik S, Latash ML. Sloppy, But Acceptable, Control of Biological Movement: Algorithm-Based Stabilization of Subspaces in Abundant Spaces. Journal of Human Kinetics. 67: 49-72. PMID 31523306 DOI: 10.2478/hukin-2018-0086   
2019 Levering KR, Conaway N, Kurtz KJ. Revisiting the linear separability constraint: New implications for theories of human category learning. Memory & Cognition. PMID 31429047 DOI: 10.3758/s13421-019-00972-y   
2019 Wu L, Wang Y, Yin H, Wang M, Shao L. Few-Shot Deep Adversarial Learning for Video-based Person Re-identification. Ieee Transactions On Image Processing : a Publication of the Ieee Signal Processing Society. PMID 31535998 DOI: 10.1109/TIP.2019.2940684   
2019 Chen D, Sang X, Wang P, Yu X, Yan B, Wang H, Ning M, Qi S, Ye X. Dense-view synthesis for three-dimensional light-field display based on unsupervised learning. Optics Express. 27: 24624-24641. PMID 31510349 DOI: 10.1364/OE.27.024624   
2019 Song G, Wang S, Huang Q, Tian Q. Harmonized Multimodal Learning with Gaussian Process Latent Variable Models. Ieee Transactions On Pattern Analysis and Machine Intelligence. PMID 31545710 DOI: 10.1109/TPAMI.2019.2942028   
2019 Pilzer A, Lathuiliere S, Xu D, Puscas MM, Ricci E, Sebe N. Progressive Fusion for Unsupervised Binocular Depth Estimation using Cycled Networks. Ieee Transactions On Pattern Analysis and Machine Intelligence. PMID 31545713 DOI: 10.1109/TPAMI.2019.2942928   
2019 Wang Z, Du B, Guo Y. Domain Adaptation With Neural Embedding Matching. Ieee Transactions On Neural Networks and Learning Systems. PMID 31536022 DOI: 10.1109/TNNLS.2019.2935608   
2019 Hindy NC, Avery EW, Turk-Browne NB. Hippocampal-neocortical interactions sharpen over time for predictive actions. Nature Communications. 10: 3989. PMID 31488845 DOI: 10.1038/s41467-019-12016-9   
2019 Han T, Xing X, Wu J, Wu YN. Replicating Neuroscience Observations on ML/MF and AM Face Patches by Deep Generative Model. Neural Computation. 1-20. PMID 31614107 DOI: 10.1162/neco_a_01236   
2019 Gehrmann S, Strobelt H, Kruger R, Pfister H, Rush AM. Visual Interaction with Deep Learning Models through Collaborative Semantic Inference. Ieee Transactions On Visualization and Computer Graphics. PMID 31425116 DOI: 10.1109/TVCG.2019.2934595   
2019 Cai L, Zhou S, Yan X, Yuan R. A Stacked BiLSTM Neural Network Based on Coattention Mechanism for Question Answering. Computational Intelligence and Neuroscience. 2019: 9543490. PMID 31531011 DOI: 10.1155/2019/9543490   
2019 Yao X, Huang T, Wu C, Zhang R, Sun L. Adversarial Feature Alignment: Avoid Catastrophic Forgetting in Incremental Task Lifelong Learning. Neural Computation. 1-26. PMID 31525313 DOI: 10.1162/neco_a_01232