Barak A. Pearlmutter
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Barak A. Pearlmutter's AcademicInfluence.com Rankings
Barak A. Pearlmutterpsychology Degrees
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Barak A. Pearlmuttercomputer-science Degrees
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Algorithms
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Machine Learning
#3360
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Artificial Intelligence
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Why Is Barak A. Pearlmutter Influential?
(Suggest an Edit or Addition)Barak A. Pearlmutter's Published Works
Number of citations in a given year to any of this author's works
Total number of citations to an author for the works they published in a given year. This highlights publication of the most important work(s) by the author
Published Works
- Automatic differentiation in machine learning: a survey (2015) (1695)
- Detecting intrusions using system calls: alternative data models (1999) (1265)
- Learning State Space Trajectories in Recurrent Neural Networks (1988) (844)
- Blind Source Separation by Sparse Decomposition in a Signal Dictionary (2001) (822)
- Fast Exact Multiplication by the Hessian (1994) (652)
- Gradient calculations for dynamic recurrent neural networks: a survey (1995) (629)
- Results of the Abbadingo One DFA Learning Competition and a New Evidence-Driven State Merging Algorithm (1998) (372)
- Blind source separation by sparse decomposition (2000) (298)
- A Context-Sensitive Generalization of ICA (1996) (224)
- Linear Spatial Integration for Single-Trial Detection in Encephalography (2002) (221)
- Survey of sparse and non‐sparse methods in source separation (2005) (204)
- Maximum Likelihood Blind Source Separation: A Context-Sensitive Generalization of ICA (1996) (199)
- Convolutive Non-Negative Matrix Factorisation with a Sparseness Constraint (2006) (168)
- Dynamic recurrent neural networks (1990) (167)
- Hemodynamics for Brain-Computer Interfaces (2008) (162)
- Equivalence Proofs for Multi-Layer Perceptron Classifiers and the Bayesian Discriminant Function (1991) (146)
- The VESPA: A method for the rapid estimation of a visual evoked potential (2006) (136)
- Independent Components of Magnetoencephalography: Localization (2002) (120)
- Reverse-mode AD in a functional framework: Lambda the ultimate backpropagator (2008) (108)
- Automatic Learning Rate Maximization by On-Line Estimation of the Hessian's Eigenvectors (1992) (100)
- Blind Source Separation via Multinode Sparse Representation (2001) (97)
- Illusory percepts from auditory adaptation. (2007) (90)
- Soft-LOST: EM on a Mixture of Oriented Lines (2004) (72)
- Independent Components of Magnetoencephalography: Single-Trial Response Onset Times (2002) (66)
- Sparse Representations for the Cocktail Party Problem (2006) (63)
- Independent Component Analysis for Brain fMRI Does Indeed Select for Maximal Independence (2013) (61)
- Independent Component Analysis: Blind source separation by sparse decomposition in a signal dictionary (2001) (58)
- G-maximization: An unsupervised learning procedure for discovering regularities (1987) (57)
- Nesting forward-mode AD in a functional framework (2008) (51)
- Dissecting the cellular contributions to early visual sensory processing deficits in schizophrenia using the VESPA evoked response (2008) (50)
- Single-trial detection in EEG and MEG: Keeping it linear (2003) (47)
- Lazy multivariate higher-order forward-mode AD (2007) (41)
- Chaitin-Kolmogorov Complexity and Generalization in Neural Networks (1990) (40)
- Blind source separation of multichannel neuromagnetic responses (2000) (40)
- Using a neural network to learn the dynamics of the CMU Direct-Drive Arm II (1988) (39)
- Editorial IEEE Transactions on Neural Networks and Learning Systems 2016 and Beyond (2016) (37)
- The LOST Algorithm: Finding Lines and Separating Speech Mixtures (2008) (37)
- Transformations of Gaussian Process Priors (2004) (36)
- Monaural Source Separation Using Spectral Cues (2004) (35)
- Hard-LOST: modified k-means for oriented lines (2004) (35)
- A New Hypothesis for Sleep: Tuning for Criticality (2009) (34)
- Discovering Convolutive Speech Phones Using Sparseness and Non-negativity (2007) (34)
- Gradient Descent: Second Order Momentum and Saturating Error (1991) (32)
- Oaklisp: an object-oriented scheme with first class types (1986) (32)
- Isolating endogenous visuo-spatial attentional effects using the novel visual-evoked spread spectrum analysis (VESPA) technique (2007) (31)
- Multimodal Integration: fMRI, MRI, EEG, MEG (2005) (31)
- Correction: Independent Component Analysis for Brain fMRI Does Indeed Select for Maximal Independence (2013) (30)
- Multiresolution framework for blind source separation (2000) (29)
- A 12-Channel, real-time near-infrared spectroscopy instrument for brain-computer interface applications (2008) (28)
- Automatic Differentiation of Algorithms for Machine Learning (2014) (28)
- Fast accurate MEG source localization using a multilayer perceptron trained with real brain noise. (2002) (25)
- An MEG Study of Response Latency and Variability in the Human Visual System During a Visual-Motor Integration Task (1999) (24)
- Perturbation Confusion and Referential Transparency:Correct Functional Implementation of Forward-Mode AD (2005) (24)
- VC Dimension of an Integrate-and-Fire Neuron Model (1996) (24)
- Using Backpropagation with Temporal Windows to Learn the Dynamics of the CMU Direct-Drive Arm II (1988) (24)
- Block Coordinate Descent for Sparse NMF (2013) (21)
- A Slow Axon Antidromic Blockade Hypothesis for Tremor Reduction via Deep Brain Stimulation (2013) (21)
- Linear Program Differentiation for Single-Channel Speech Separation (2006) (20)
- Divide-and-conquer checkpointing for arbitrary programs with no user annotation (2017) (19)
- Blind separation of sources with sparse representations in a given signal dictionary (2000) (19)
- An Investigation of Feasibility and Safety of Bi‐Modal Stimulation for the Treatment of Tinnitus: An Open‐Label Pilot Study (2016) (18)
- First-class nonstandard interpretations by opening closures (2007) (18)
- Independent components of magnetoencephalography: Localization and single-trial response onset detection (2002) (17)
- Fast robust subject‐independent magnetoencephalographic source localization using an artificial neural network (2005) (16)
- Using Polyvariant Union-Free Flow Analysis to Compile aHigher-Order Functional-Programming Language with aFirst-Class Derivative Operator to Efficient Fortran-like Code (2008) (15)
- Sparse separation: principles and tricks (2003) (15)
- Localization of Independent Components from Magnetoencephalography (2000) (15)
- Automatic Learning Rate Maximization in Large Adaptive Machines (1992) (15)
- Seeing is Worse than Believing: Reading People's Minds Better than Computer-Vision Methods Recognize Actions (2014) (13)
- DiffSharp: An AD Library for .NET Languages (2016) (13)
- Using Programming Language Theory to Make Automatic Differentiation Sound and Efficient (2008) (13)
- Differentiating Functions of the Jacobian with Respect to the Weights (1999) (12)
- Hemodynamics for brain-computer interfaces: optical correlates of control signals (2008) (12)
- Perturbation confusion in forward automatic differentiation of higher-order functions (2012) (11)
- Efficient Implementation of a Higher-Order Language with Built-In AD (2016) (11)
- An investigation of the gradient descent process in neural networks (1996) (11)
- Putting the Automatic Back into AD:Part I, What’s Wrong (CVS: 1.1) (2008) (10)
- Oaklisp: An object-oriented dialect of scheme (1988) (10)
- A Dual-Channel Optical Brain-Computer Interface In A Gaming Environment (2006) (10)
- Neural Ordinary Differential Equation based Recurrent Neural Network Model (2020) (9)
- MEG source localization using an MLP with a distributed output representation (2003) (9)
- DiffSharp: Automatic Differentiation Library (2015) (9)
- Gradients without Backpropagation (2022) (9)
- Playing the matching-shoulders lob-pass game with logarithmic regret (1994) (9)
- On the Calculation of the l 2 → l 1 Induced Matrix Norm (2009) (9)
- Tricks from Deep Learning (2016) (8)
- Ab-badingo one: Dfa learning competition (1997) (8)
- Optimal Coding Predicts Attentional Modulation of Activity in Neural Systems (2007) (7)
- Sparsification for Monaural Source Separation (2007) (7)
- Evolving the Incremental λ Calculus into a Model of Forward Automatic Differentiation (AD) (2016) (7)
- Putting the Automatic Back into AD:Part II, Dynamic, Automatic, Nestable, and Fast(CVS: 1.1) (2008) (7)
- Evolving the Incremental Lambda Calculus into a Model of Forward Automatic Differentiation (AD) (2016) (7)
- Filtered Gaussian Processes for Learning with Large Data-Sets (2003) (7)
- Deep brain stimulation may reduce tremor by preferential blockade of slower axons via antidromic activation (2011) (6)
- Constructing Time-Frequency Dictionaries for Source Separation via Time-Frequency Masking and Source Localisation (2009) (6)
- Time-Skew Hebb Rule in a Nonisopotential Neuron (1995) (6)
- Software platform for rapid prototyping of NIRS brain computer interfacing techniques (2008) (6)
- Hebbian Learning is Jointly Controlled by Electrotonic and Input Structure (1992) (6)
- A Spectrum of Colors: Investigating the Temporal Frequency Characteristics of the Human Visual System Using a System Identification Approach (2006) (6)
- CometCloudCare (C3): Distributed Machine LearningPlatform-as-a-Service with Privacy Preservation (2014) (6)
- Doing the Twist: Diagonal Meshes Are Isomorphic to Twisted Toroidal Meshes (1996) (5)
- Independent Components of Magnetoencephalography, Part I: Localization (2000) (5)
- Second Order Blind Source Separation By Recursive Splitting Of Signal Subspaces (2000) (5)
- A normative model of attention: receptive field modulation (2004) (5)
- Fast Exact Calculation by the Hessian (1994) (4)
- 1 Reverse Correlation and the VESPA Method (2009) (4)
- Efficient computation of sparse elements of the inverse of a sparse near-tridiagonal matrix with application to the nerve equation (1993) (4)
- Neural ODEs for Informative Missingess in Multivariate Time Series (2020) (4)
- AD in Fortran, Part 1: Design (2012) (4)
- Learning with large data sets using filtered {G}aussian Process priors (2005) (3)
- Nonlinear time series analysis of human alpha rhythm (2002) (3)
- Fusion of Functional Brain Imaging Modalities via Linear Programming (3)
- Progress in blind separation of magnetoencephalographic data (2003) (3)
- Gradient calculations for dynamic RNNs: A survey (1995) (3)
- LOCALIZATION OF INDEPENDENT COMPONENTS (2000) (3)
- Algorithmic differen-tiation of linear programs for single-channel source separa-tion (2006) (3)
- AD in Fortran, Part 2: Implementation via Prepreprocessor (2012) (3)
- Bounds on Query Convergence (2005) (3)
- Temporally continuous vs. clocked networks (1993) (2)
- Mini-symposium on automatic differentiation and its applications in the financial industry (2017) (2)
- Tuning for Criticality : A New Hypothesis for Sleep (2007) (2)
- The implementation of oaklisp (1991) (2)
- Dreams, mnemonics, and tuning for criticality. (2013) (2)
- Reverse Correlation and the Vespa Method Analysis of Physiological Systems Using Stochastic Stimuli (2)
- Fast robust MEG source localization using MLPs (2002) (2)
- Binomial Checkpointing for Arbitrary Programs with No User Annotation (2016) (2)
- Nonnegative Factorization of a Data Matrix as a Motivational Example for Basic Linear Algebra (2017) (2)
- The Compositional Nature of Verb and ArgumentRepresentations in the Human Brain (2013) (2)
- Lock-Free Hopscotch Hashing (2019) (2)
- Brightness Illusions as Optimal Percepts (2006) (2)
- Automatic Differentiation of Sketched Regression (2020) (1)
- Independent Components of Magnetoencephalography, Part II: Single-trial Response Time Estimation (2000) (1)
- Concurrent Robin Hood Hashing (2018) (1)
- Automatic Differentiation of Algorithmsfor Machine Learning (2014) (1)
- Algorithmic Differentiation, Functional Programming, and Iterate-to-Fixedpoint (2002) (1)
- Coordinate Descent for Mixed-norm NMF (2013) (1)
- P L ] 1 0 N ov 2 01 6 Evolving the Incremental λ Calculus into a Model of Forward AD ∗ (2016) (1)
- Algorithmic Differentiation through Convergent Loops (2002) (1)
- Efficient Distributed Auto-Differentiation (2021) (1)
- EXPLORING THE ATTENTIONAL MODULATION OF NEURAL CODES (1)
- Sparse Multichannel Source Localization and Separation (2008) (1)
- ECG Synthesis with Neural ODE and GAN Models (2021) (1)
- Comments on 'Dynamic programming approach to optimal weight selection in multilayer neural networks' [with reply] (1992) (1)
- Use Your Powers Wisely: Resource Allocation in Parallel Channels (2006) (1)
- Simplifying Neural Network Soft Weight-sharing Measures by Soft Weight-measure Soft Weight Sharing (1994) (1)
- Optimizing properties of the Jacobian of nonlinear feedforward systems (1999) (1)
- The oaklisp language manual and the oaklisp implementation cmide unpublished (1985) (1)
- Lo-calization of independent components of magnetoen-cephalography in cognitive tasks (2002) (1)
- HeunNet: Extending ResNet using Heun’s Method (2021) (1)
- Attention and Optimal Sensory Codes (2004) (0)
- Sequential Sparse NMF (2011) (0)
- HeunNet: Extending ResNet using Heun's Methods (2021) (0)
- Garbage collection with pointers to individuals cells (1996) (0)
- Investigating Multisensory Integration using Spread Spectrum Stimulation. (2006) (0)
- Ððòò Ëóùö Ëëôôööøøóò Ý Ëôôö×× Óñôó××øøóò Ò Ëëëòòð Øøóòòöý (1999) (0)
- Blind Sour e Separation by Sparse De omposition (2008) (0)
- The Compositional Nature of Event Representations in the Human Brain (2014) (0)
- 14 Sparsification for Monaural Source Separation (2007) (0)
- Behavioral / Systems / Cognitive Sparse Representations for the Cocktail Party Problem (2006) (0)
- An Analysis of Publication Venues for Automatic Differentiation Research (2014) (0)
- The discriminative power of a dynamical model neuron (1997) (0)
- Localization and Single-Trial Response Onset Detection (2002) (0)
- Ððòò Ëóùö Ëëôôööøøóò Óó Aeaeùöóñññòòøø Êê×ôóò××× (2007) (0)
- 14 48 v 2 [ cs . P L ] 8 M ar 2 01 2 AD in Fortran Part 1 : Design (2012) (0)
- Êê Blockinóúööòò ×××ô Òò ×øöööùøøóò Óó Ððý× Óó Ööôøøøøú Öö×ôóò××× Ò ×øöóòò Òóó×× (2007) (0)
- Relating egomotion and image evolution (1995) (0)
- USEYOUR POWERS WISELY:RESOURCE ALLOCATION INPARALLEL CHANNELS Santiago Jaramillo Barak A.Pearlmutter (2006) (0)
- A Normative Model of Attention: Modulation of Neural Response (2003) (0)
- Part 2: Implementation via Prepreprocessor (2012) (0)
- Bilevel optimization for hyperparameter tuning in structured sparse models (2020) (0)
- Visualizing communication between neurons in the lamina ganglionaris of Musca domestica (2000) (0)
- Realtime MEG source localization (2001) (0)
- Differentiating Functions of the Jacobianwith Respect to the Weights (2000) (0)
- Blind Source Separation for the Superconducting Imaging-Surface Magnetoencephalography System (2007) (0)
- Automatic Differentiation and Ubiquitous Adaptive Computing (2019) (0)
- Independent Components of Magnetoen ephalography , Part II : Single-trial Response Time (2000) (0)
- Implementation via Prepreprocessor (2012) (0)
- Neuronal Predictions of Sparse Linear Representations (2005) (0)
- Áòòòôòòòòø Óñôóòòòø× Óó Åååòòøóò Blockin Blockinôôôðóóööôôý¸ Èöø Áá Äó Blockin Blockinððþþøøóò (2007) (0)
- Linear Spatial Weighting for Single Trial Detection in Encephalography (2002) (0)
- Measuring populational response timing in humans using magnetoencephalography and blind source separation (2000) (0)
- A functional mechanism for deep brain stimulation in Parkinson's disease: The slow axon blockade hyp (2012) (0)
- Realtime MEG source localization with realistic noise (2001) (0)
- MouldingNet: Deep-learning for 3D Object Reconstruction (2019) (0)
- Peering Beyond the Gradient Veil with Distributed Auto Differentiation (2021) (0)
- Brightness Illusions as Optimal Percepts - Technical Report: NUIM-CS-TR-2006-02 (2006) (0)
- Biophotonic Methods for Brain-Computer Interfaces (2007) (0)
- Neural Network based on Automatic Differentiation Transformation of Numeric Iterate-to-Fixedpoint (2021) (0)
- Subject-Independent Magnetoencephalographic Source Localization by a Multilayer Perceptron (2003) (0)
- Using Backpropagation to Learn the Dynamics of a Real Robot Arm (1988) (0)
- Ååòù× Blockinööôø Aeae ¾¼¼¼ (2014) (0)
- Multiscale blind source separation (2001) (0)
- Continuous Convolutional Neural Networks: Coupled Neural PDE and ODE (2021) (0)
- AD in FortranPart 1: Design (2012) (0)
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What Schools Are Affiliated With Barak A. Pearlmutter?
Barak A. Pearlmutter is affiliated with the following schools:
