Niru Maheswaranathan - Related publications

Affiliations: 
Google Brain 
Area:
Computational Neuroscience & Machine Learning
NOTE: We are testing a new system for identifying relevant work based on semantic analysis that identifies similarities between recently published papers and the current author's publications. You can help! If you notice any inaccuracies, please sign in and mark papers as correct or incorrect matches.
50 most relevant papers in past 60 days:
Year Citation  Score
2021 Wang G, Ma S, Wu Y, Pei J, Zhao R, Shi L. End-to-End Implementation of Various Hybrid Neural Networks on a Cross-Paradigm Neuromorphic Chip. Frontiers in Neuroscience. 15: 615279. PMID 33603643 DOI: 10.3389/fnins.2021.615279   
2021 Song Z, Zhou Y, Feng J, Juusola M. Multiscale 'whole-cell' models to study neural information processing - new insights from fly photoreceptor studies. Journal of Neuroscience Methods. 109156. PMID 33775669 DOI: 10.1016/j.jneumeth.2021.109156   
2021 Wang Z, Liu J, Ma Y, Chen B, Zheng N, Ren P. Perturbation of Spike Timing Benefits Neural Network Performance on Similarity Search. Ieee Transactions On Neural Networks and Learning Systems. PMID 33606643 DOI: 10.1109/TNNLS.2021.3056694   
2021 Rivera C, Hofmann D, Nemenman I. Inferring phenomenological models of first passage processes. Plos Computational Biology. 17: e1008740. PMID 33667218 DOI: 10.1371/journal.pcbi.1008740   
2021 Heidari-Gorji H, Ebrahimpour R, Zabbah S. A temporal hierarchical feedforward model explains both the time and the accuracy of object recognition. Scientific Reports. 11: 5640. PMID 33707537 DOI: 10.1038/s41598-021-85198-2   
2021 Guo W, Fouda ME, Eltawil AM, Salama KN. Neural Coding in Spiking Neural Networks: A Comparative Study for Robust Neuromorphic Systems. Frontiers in Neuroscience. 15: 638474. PMID 33746705 DOI: 10.3389/fnins.2021.638474   
2021 Sun CX, Liu X. A state observer for the computational network model of neural populations. Chaos (Woodbury, N.Y.). 31: 013127. PMID 33754748 DOI: 10.1063/5.0020184   
2021 Nápoles G, Bello M, Salgueiro Y. Long-term Cognitive Network-based architecture for multi-label classification. Neural Networks : the Official Journal of the International Neural Network Society. 140: 39-48. PMID 33744712 DOI: 10.1016/j.neunet.2021.03.001   
2021 Dalgaty T, Miller JP, Vianello E, Casas J. Bio-Inspired Architectures Substantially Reduce the Memory Requirements of Neural Network Models. Frontiers in Neuroscience. 15: 612359. PMID 33708069 DOI: 10.3389/fnins.2021.612359   
2021 Giacopelli G, Tegolo D, Spera E, Migliore M. On the structural connectivity of large-scale models of brain networks at cellular level. Scientific Reports. 11: 4345. PMID 33623053 DOI: 10.1038/s41598-021-83759-z   
2021 Dai Y, Yamamoto H, Sakuraba M, Sato S. Computational Efficiency of a Modular Reservoir Network for Image Recognition. Frontiers in Computational Neuroscience. 15: 594337. PMID 33613220 DOI: 10.3389/fncom.2021.594337   
2021 Yang Z, Zhang H, Sudjianto A, Zhang A. An effective SteinGLM initialization scheme for training multi-layer feedforward sigmoidal neural networks. Neural Networks : the Official Journal of the International Neural Network Society. 139: 149-157. PMID 33706228 DOI: 10.1016/j.neunet.2021.02.014   
2021 Piccinini J, Ipiñna IP, Laufs H, Kringelbach M, Deco G, Sanz Perl Y, Tagliazucchi E. Noise-driven multistability vs deterministic chaos in phenomenological semi-empirical models of whole-brain activity. Chaos (Woodbury, N.Y.). 31: 023127. PMID 33653038 DOI: 10.1063/5.0025543   
2021 Busch EL, Slipski L, Feilong M, Guntupalli JS, Castello MVDO, Huckins JF, Nastase SA, Gobbini MI, Wager TD, Haxby JV. Hybrid Hyperalignment: A single high-dimensional model of shared information embedded in cortical patterns of response and functional connectivity. Neuroimage. 117975. PMID 33762217 DOI: 10.1016/j.neuroimage.2021.117975   
2021 Wang Y, Yang G, Xie R, Liu H, Liu K, Li X. An Ensemble Deep Belief Network Model Based on Random Subspace for NO Concentration Prediction. Acs Omega. 6: 7655-7668. PMID 33778276 DOI: 10.1021/acsomega.0c06317   
2021 Sun B, Mu C, Wu Z, Zhu X. Training-Free Deep Generative Networks for Compressed Sensing of Neural Action Potentials. Ieee Transactions On Neural Networks and Learning Systems. PMID 33830927 DOI: 10.1109/TNNLS.2021.3069436   
2021 Jones D, Kim H, Zhang X, Zemla A, Stevenson G, Bennett WFD, Kirshner D, Wong SE, Lightstone FC, Allen JE. Improved Protein-Ligand Binding Affinity Prediction with Structure-Based Deep Fusion Inference. Journal of Chemical Information and Modeling. PMID 33754707 DOI: 10.1021/acs.jcim.0c01306   
2021 Sebastian J, Sur M, Murthy HA, Magimai-Doss M. Signal-to-signal neural networks for improved spike estimation from calcium imaging data. Plos Computational Biology. 17: e1007921. PMID 33647015 DOI: 10.1371/journal.pcbi.1007921   
2021 Choi H, Bajic IV. Affine Transformation-Based Deep Frame Prediction. Ieee Transactions On Image Processing : a Publication of the Ieee Signal Processing Society. PMID 33635788 DOI: 10.1109/TIP.2021.3060803   
2021 Li J, Yu Y, Qing X. Embedded FBG Sensor Based Impact Identification of CFRP Using Ensemble Learning. Sensors (Basel, Switzerland). 21. PMID 33669697 DOI: 10.3390/s21041452   
2021 Ivaturi P, Gadaleta M, Pandey AC, Pazzani M, Steinhubl SR, Quer G. A Comprehensive Explanation Framework for Biomedical Time Series Classification. Ieee Journal of Biomedical and Health Informatics. PMID 33617456 DOI: 10.1109/JBHI.2021.3060997   
2021 Sanchez-Cauce R, Paris I, Diez Vegas FJ. Sum-product networks: A survey. Ieee Transactions On Pattern Analysis and Machine Intelligence. PMID 33630736 DOI: 10.1109/TPAMI.2021.3061898   
2021 Zhang X, Huang W, Gao J, Wang D, Bai C, Chen Z. Deep sparse transfer learning for remote smart tongue diagnosis. Mathematical Biosciences and Engineering : Mbe. 18: 1169-1186. PMID 33757181 DOI: 10.3934/mbe.2021063   
2021 Zhang X, Yang L, Zhang B, Liu Y, Jiang D, Qin X, Hao M. Multi-Scale Aggregation Graph Neural Networks Based on Feature Similarity for Semi-Supervised Learning. Entropy (Basel, Switzerland). 23. PMID 33800642 DOI: 10.3390/e23040403   
2021 Firman T, Huihui J, Clark AR, Ghosh K. Critical Comparison of MaxCal and Other Stochastic Modeling Approaches in Analysis of Gene Networks. Entropy (Basel, Switzerland). 23. PMID 33802879 DOI: 10.3390/e23030357   
2021 van der Marel A, Prasher S, Carminito C, O'Connell CL, Phillips A, Kluever BM, Hobson EA. A framework to evaluate whether to pool or separate behaviors in a multilayer network. Current Zoology. 67: 101-111. PMID 33654494 DOI: 10.1093/cz/zoaa077   
2021 Xie J, Siyu C, Zhang Y, Gao D, Liu T. Combining generative adversarial network and multi-output CNN for motor imagery classification. Journal of Neural Engineering. PMID 33684896 DOI: 10.1088/1741-2552/abecc5   
2021 Liu J, Li M, Luo Y, Yang S, Li W, Bi Y. Alzheimer's disease detection using depthwise separable convolutional neural networks. Computer Methods and Programs in Biomedicine. 203: 106032. PMID 33713959 DOI: 10.1016/j.cmpb.2021.106032   
2021 Wang Y, Chen L, Liu Y, Gao L. Wavelet-Prototypical Network Based on Fusion of Time and Frequency Domain for Fault Diagnosis. Sensors (Basel, Switzerland). 21. PMID 33672742 DOI: 10.3390/s21041483   
2021 Goyal R, De Gruttola V. Investigation of patient-sharing networks using a Bayesian network model selection approach for congruence class models. Statistics in Medicine. PMID 33811360 DOI: 10.1002/sim.8969   
2021 Moghadam R, Natarajan P, Jagannathan S. Online Optimal Adaptive Control of Partially Uncertain Nonlinear Discrete-Time Systems Using Multilayer Neural Networks. Ieee Transactions On Neural Networks and Learning Systems. PMID 33710960 DOI: 10.1109/TNNLS.2021.3061414   
2021 Lee H, Hsieh CJ, Lee JS. Local Critic Training for Model-Parallel Learning of Deep Neural Networks. Ieee Transactions On Neural Networks and Learning Systems. PMID 33606645 DOI: 10.1109/TNNLS.2021.3057380   
2021 Mobiny A, Yuan P, Moulik SK, Garg N, Wu CC, Van Nguyen H. DropConnect is effective in modeling uncertainty of Bayesian deep networks. Scientific Reports. 11: 5458. PMID 33750847 DOI: 10.1038/s41598-021-84854-x   
2021 Mobiny A, Yuan P, Moulik SK, Garg N, Wu CC, Van Nguyen H. DropConnect is effective in modeling uncertainty of Bayesian deep networks. Scientific Reports. 11: 5458. PMID 33750847 DOI: 10.1038/s41598-021-84854-x   
2021 Li Q, Dong Q, Ge F, Qiang N, Wu X, Liu T. Simultaneous spatial-temporal decomposition for connectome-scale brain networks by deep sparse recurrent auto-encoder. Brain Imaging and Behavior. PMID 33755922 DOI: 10.1007/s11682-021-00469-w   
2021 Zhang Z, Li Z, Yang S. A Barrier Varying-Parameter Dynamic Learning Network for Solving Time-Varying Quadratic Programming Problems With Multiple Constraints. Ieee Transactions On Cybernetics. PMID 33635808 DOI: 10.1109/TCYB.2021.3051261   
2021 Zhao C, Medeiros TX, Sové RJ, Annex BH, Popel AS. A data-driven computational model enables integrative and mechanistic characterization of dynamic macrophage polarization. Iscience. 24: 102112. PMID 33659877 DOI: 10.1016/j.isci.2021.102112   
2021 Zhang Y, Li Y, Deng W, Huang K, Yang C. Complex networks identification using Bayesian model with independent Laplace prior. Chaos (Woodbury, N.Y.). 31: 013107. PMID 33754749 DOI: 10.1063/5.0031134   
2021 Schmitz R, Madesta F, Nielsen M, Krause J, Steurer S, Werner R, Rösch T. Multi-scale fully convolutional neural networks for histopathology image segmentation: From nuclear aberrations to the global tissue architecture. Medical Image Analysis. 70: 101996. PMID 33647783 DOI: 10.1016/j.media.2021.101996   
2021 Faria R, Kaiser J, Camsari KY, Datta S. Hardware Design for Autonomous Bayesian Networks. Frontiers in Computational Neuroscience. 15: 584797. PMID 33762919 DOI: 10.3389/fncom.2021.584797   
2021 Etheredge RI, Schartl M, Jordan A. Decontextualized learning for interpretable hierarchical representations of visual patterns. Patterns (New York, N.Y.). 2: 100193. PMID 33659910 DOI: 10.1016/j.patter.2020.100193   
2021 Kim H, Koh Y, Baek J, Kang J. Exploring the spatial reasoning ability of neural models in human IQ tests. Neural Networks : the Official Journal of the International Neural Network Society. 140: 27-38. PMID 33744711 DOI: 10.1016/j.neunet.2021.02.018   
2021 Amidi Y, Nazari B, Sadri S, Yousefi A. Parameter Estimation in Multiple Dynamic Synaptic Coupling Model Using Bayesian Point Process State-Space Modeling Framework. Neural Computation. 1-31. PMID 33617745 DOI: 10.1162/neco_a_01375   
2021 Sun Z, Yu Y. Fast Approximation for Sparse Coding with Applications to Object Recognition. Sensors (Basel, Switzerland). 21. PMID 33669576 DOI: 10.3390/s21041442   
2021 Kang E, Qiao H, Gao J, Yang W. Neural network-based model predictive tracking control of an uncertain robotic manipulator with input constraints. Isa Transactions. 109: 89-101. PMID 33616059 DOI: 10.1016/j.isatra.2020.10.009   
2021 Jian JZ, Ger TR, Lai HH, Ku CM, Chen CA, Abu PAR, Chen SL. Detection of Myocardial Infarction Using ECG and Multi-Scale Feature Concatenate. Sensors (Basel, Switzerland). 21. PMID 33803265 DOI: 10.3390/s21051906   
2021 Afebu KO, Liu Y, Papatheou E, Guo B. LSTM-based approach for predicting periodic motions of an impacting system via transient dynamics. Neural Networks : the Official Journal of the International Neural Network Society. 140: 49-64. PMID 33744713 DOI: 10.1016/j.neunet.2021.02.027   
2021 Wang Y, Dong L, Jiang X, Ma X, Li Y, Zhang H. KG2Vec: A node2vec-based vectorization model for knowledge graph. Plos One. 16: e0248552. PMID 33784319 DOI: 10.1371/journal.pone.0248552   
2021 Wang Y, Dong L, Jiang X, Ma X, Li Y, Zhang H. KG2Vec: A node2vec-based vectorization model for knowledge graph. Plos One. 16: e0248552. PMID 33784319 DOI: 10.1371/journal.pone.0248552   
2021 Fengler A, Govindarajan LN, Chen T, Frank MJ. Likelihood approximation networks (LANs) for fast inference of simulation models in cognitive neuroscience. Elife. 10. PMID 33821788 DOI: 10.7554/eLife.65074