Barak A. Pearlmutter

103 papers A* 6A 2B 1Journal 65Unranked 28

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	Change of Thought: Adaptive Test-Time Computation. CoRR Mrinal Mathur, Mike Doan, Barak A. Pearlmutter, Sergey M. Plis
2025	J	`jnl`	Comparing differentiable logics for learning with logical constraints. Sci. Comput. Program. Thomas Flinkow, Barak A. Pearlmutter, Rosemary Monahan
2025	A*	`conf`	MIND over Body: Adaptive Thinking using Dynamic Computation. ICLR Mrinal Mathur, Barak A. Pearlmutter, Sergey M. Plis
2024	J	`jnl`	Automatic Differentiation: Inverse Accumulation Mode. CoRR Barak A. Pearlmutter, Jeffrey Mark Siskind
2024	J	`jnl`	Comparing Differentiable Logics for Learning with Logical Constraints. CoRR Thomas Flinkow, Barak A. Pearlmutter, Rosemary Monahan
2024	—	`conf`	Creating a Formally Verified Neural Network for Autonomous Navigation: An Experience Report. FMAS@iFM Syed Ali Asadullah Bukhari, Thomas Flinkow, Medet Inkarbekov, Barak A. Pearlmutter, Rosemary Monahan
2024	J	`jnl`	Learning Exemplar Representations in Single-Trial EEG Category Decoding. CoRR Jack Kilgallen, Barak A. Pearlmutter, Jeffrey Mark Siskind
2024	J	`jnl`	Low-Rank Learning by Design: the Role of Network Architecture and Activation Linearity in Gradient Rank Collapse. CoRR Bradley T. Baker, Barak A. Pearlmutter, Robyn L. Miller, Vince D. Calhoun, Sergey M. Plis
2024	J	`jnl`	Recent Trends in Modelling the Continuous Time Series using Deep Learning: A Survey. CoRR Mansura Habiba, Barak A. Pearlmutter, Mehrdad Maleki
2024	J	`jnl`	Second-Order Forward-Mode Automatic Differentiation for Optimization. CoRR Adam D. Cobb, Atilim Günes Baydin, Barak A. Pearlmutter, Susmit Jha
2024	—	`conf`	Towards Correct-by-Construction Machine-Learnt Models. PhD@IFM Thomas Flinkow, Barak A. Pearlmutter, Rosemary Monahan
2023	—	`conf`	Comparing Differentiable Logics for Learning Systems: A Research Preview. FMAS@iFM Thomas Flinkow, Barak A. Pearlmutter, Rosemary Monahan
2023	—	`conf`	Immersive Neural Network Exploration: A VR Approach to Human-Centered AI Understanding. HCAIep Medet Inkarbekov, Barak A. Pearlmutter, Rosemary Monahan
2023	—	`conf`	Rich and Expressive Specification of Continuous-Learning Cyber-Physical Systems. DSN-S Thomas Flinkow, Barak A. Pearlmutter, Rosemary Monahan
2023	J	`jnl`	Visualization of AI Systems in Virtual Reality: A Comprehensive Review. CoRR Medet Inkarbekov, Rosemary Monahan, Barak A. Pearlmutter
2022	J	`jnl`	Gradients without Backpropagation. CoRR Atilim Günes Baydin, Barak A. Pearlmutter, Don Syme, Frank Wood, Philip H. S. Torr
2021	J	`jnl`	Continuous Convolutional Neural Networks: Coupled Neural PDE and ODE. CoRR Mansura Habiba, Barak A. Pearlmutter
2021	J	`jnl`	ECG synthesis with Neural ODE and GAN models. CoRR Mansura Habiba, Eoin Borphy, Barak A. Pearlmutter, Tomás Ward
2021	J	`jnl`	Efficient Distributed Auto-Differentiation. CoRR Bradley T. Baker, Vince D. Calhoun, Barak A. Pearlmutter, Sergey M. Plis
2021	J	`jnl`	HeunNet: Extending ResNet using Heun's Methods. CoRR Mehrdad Maleki, Mansura Habiba, Barak A. Pearlmutter
2021	J	`jnl`	Neural Network based on Automatic Differentiation Transformation of Numeric Iterate-to-Fixedpoint. CoRR Mansura Habiba, Barak A. Pearlmutter
2020	A	`conf`	Automatic Differentiation of Sketched Regression. AISTATS Hang Liao, Barak A. Pearlmutter, Vamsi K. Potluru, David P. Woodruff
2020	—	`conf`	Lock-Free Hopscotch Hashing. APOCS Robert Kelly, Barak A. Pearlmutter, Phil Maguire
2020	J	`jnl`	Neural ODEs for Informative Missingness in Multivariate Time Series. CoRR Mansura Habiba, Barak A. Pearlmutter
2020	J	`jnl`	Neural Ordinary Differential Equation based Recurrent Neural Network Model. CoRR Mansura Habiba, Barak A. Pearlmutter
2019	—	`conf`	Automatic Differentiation and Ubiquitous Adaptive Computing. AICS Barak A. Pearlmutter
2019	J	`jnl`	Lock-Free Hopscotch Hashing. CoRR Robert Kelly, Barak A. Pearlmutter, Phil Maguire
2019	J	`jnl`	Perturbation confusion in forward automatic differentiation of higher-order functions. J. Funct. Program. Oleksandr Manzyuk, Barak A. Pearlmutter, Alexey Andreyevich Radul, David R. Rush, Jeffrey Mark Siskind
2018	B	`conf`	Concurrent Robin Hood Hashing. OPODIS Robert Kelly, Barak A. Pearlmutter, Phil Maguire
2018	J	`jnl`	Concurrent Robin Hood Hashing. CoRR Robert Kelly, Barak A. Pearlmutter, Phil Maguire
2018	J	`jnl`	Divide-and-conquer checkpointing for arbitrary programs with no user annotation. Optim. Methods Softw. Jeffrey Mark Siskind, Barak A. Pearlmutter
2017	J	`jnl`	Automatic Differentiation in Machine Learning: a Survey. J. Mach. Learn. Res. Atilim Gunes Baydin, Barak A. Pearlmutter, Alexey Andreyevich Radul, Jeffrey Mark Siskind
2017	J	`jnl`	Divide-and-Conquer Checkpointing for Arbitrary Programs with No User Annotation. CoRR Jeffrey Mark Siskind, Barak A. Pearlmutter
2017	J	`jnl`	Mini-symposium on automatic differentiation and its applications in the financial industry. CoRR Sébastien Geeraert, Charles-Albert Lehalle, Barak A. Pearlmutter, Olivier Pironneau, Adil Reghai
2016	J	`jnl`	Binomial Checkpointing for Arbitrary Programs with No User Annotation. CoRR Jeffrey Mark Siskind, Barak A. Pearlmutter
2016	J	`jnl`	DiffSharp: An AD Library for .NET Languages. CoRR Atilim Günes Baydin, Barak A. Pearlmutter, Jeffrey Mark Siskind
2016	J	`jnl`	Editorial IEEE Transactions on Neural Networks and Learning Systems 2016 and Beyond. IEEE Trans. Neural Networks Learn. Syst. Haibo He, Nitesh V. Chawla, Huanhuan Chen, Yoonsuck Choe, Andries P. Engelbrecht, Jaya deva, Lyle N. Long, Ali A. Minai, Feiping Nie, Umut Ozertem, Barak A. Pearlmutter, Ling Shao, Jennie Si, Jochen J. Steil, Brijesh K. Verma, Ding Wang
2016	J	`jnl`	Efficient Implementation of a Higher-Order Language with Built-In AD. CoRR Jeffrey Mark Siskind, Barak A. Pearlmutter
2016	J	`jnl`	Evolving the Incremental λ Calculus into a Model of Forward Automatic Differentiation (AD). CoRR Robert Kelly, Barak A. Pearlmutter, Jeffrey Mark Siskind
2016	J	`jnl`	Tricks from Deep Learning. CoRR Atilim Günes Baydin, Barak A. Pearlmutter, Jeffrey Mark Siskind
2015	J	`jnl`	Automatic differentiation in machine learning: a survey. CoRR Atilim Gunes Baydin, Barak A. Pearlmutter, Alexey Andreyevich Radul
2015	J	`jnl`	DiffSharp: Automatic Differentiation Library. CoRR Atilim Gunes Baydin, Barak A. Pearlmutter, Jeffrey Mark Siskind
2014	J	`jnl`	An Analysis of Publication Venues for Automatic Differentiation Research. CoRR Atilim Gunes Baydin, Barak A. Pearlmutter
2014	J	`jnl`	Automatic Differentiation of Algorithms for Machine Learning. CoRR Atilim Gunes Baydin, Barak A. Pearlmutter
2014	—	`conf`	Seeing is Worse than Believing: Reading People's Minds Better than Computer-Vision Methods Recognize Actions. ECCV (5) Andrei Barbu, Daniel Paul Barrett, Wei Chen, Siddharth Narayanaswamy, Caiming Xiong, Jason J. Corso, Christiane D. Fellbaum, Catherine Hanson, Stephen José Hanson, Sébastien Hélie, Evguenia Malaia, Barak A. Pearlmutter, Jeffrey Mark Siskind, Thomas Michael Talavage, Ronnie B. Wilbur
2013	A*	`conf`	Block Coordinate Descent for Sparse NMF ICLR (Poster) Vamsi K. Potluru, Sergey M. Plis, Jonathan Le Roux, Barak A. Pearlmutter, Vince D. Calhoun, Thomas P. Hayes
2012	J	`jnl`	AD in Fortran, Part 1: Design CoRR Alexey Radul, Barak A. Pearlmutter, Jeffrey Mark Siskind
2012	J	`jnl`	AD in Fortran, Part 2: Implementation via Prepreprocessor CoRR Alexey Radul, Barak A. Pearlmutter, Jeffrey Mark Siskind
2012	J	`jnl`	Confusion of Tagged Perturbations in Forward Automatic Differentiation of Higher-Order Functions CoRR Oleksandr Manzyuk, Barak A. Pearlmutter, Alexey Andreyevich Radul, David R. Rush, Jeffrey Mark Siskind
2011	—	`conf`	Deep brain stimulation may reduce tremor by preferential blockade of slower axons via antidromic activation. CDC/ECC Míriam R. García, Mark Verwoerd, Barak A. Pearlmutter, Peter Wellstead, Richard H. Middleton
2009	J	`jnl`	A New Hypothesis for Sleep: Tuning for Criticality. Neural Comput. Barak A. Pearlmutter, Conor J. Houghton
2009	—	`conf`	Constructing Time-Frequency Dictionaries for Source Separation via Time-Frequency Masking and Source Localisation. ICA Ruairí de Fréin, Scott T. Rickard, Barak A. Pearlmutter
2008	J	`jnl`	Discovering speech phones using convolutive non-negative matrix factorisation with a sparseness constraint. Neurocomputing Paul D. O'Grady, Barak A. Pearlmutter
2008	J	`jnl`	Hemodynamics for Brain-Computer Interfaces. IEEE Signal Process. Mag. Fiachra Matthews, Barak A. Pearlmutter, Tomas E. Ward, Christopher J. Soraghan, Charles Markham
2008	J	`jnl`	Nesting forward-mode AD in a functional framework. High. Order Symb. Comput. Jeffrey Mark Siskind, Barak A. Pearlmutter
2008	J	`jnl`	Reverse-mode AD in a functional framework: Lambda the ultimate backpropagator. ACM Trans. Program. Lang. Syst. Barak A. Pearlmutter, Jeffrey Mark Siskind
2008	J	`jnl`	The LOST Algorithm: Finding Lines and Separating Speech Mixtures. EURASIP J. Adv. Signal Process. Paul D. O'Grady, Barak A. Pearlmutter
2007	—	`conf`	Discovering Convolutive Speech Phones Using Sparseness and Non-negativity. ICA Paul D. O'Grady, Barak A. Pearlmutter
2007	A*	`conf`	First-class nonstandard interpretations by opening closures. POPL Jeffrey Mark Siskind, Barak A. Pearlmutter
2007	A*	`conf`	Lazy multivariate higher-order forward-mode AD. POPL Barak A. Pearlmutter, Jeffrey Mark Siskind
2007	J	`jnl`	Optimal Coding Predicts Attentional Modulation of Activity in Neural Systems. Neural Comput. Santiago Jaramillo, Barak A. Pearlmutter
2007	—	`ch.`	Sparsification for Monaural Source Separation. Blind Speech Separation Hiroki Asari, Rasmus Kongsgaard Olsson, Barak A. Pearlmutter, Anthony M. Zador
2006	—	`conf`	A Spectrum of Colors: Investigating the Temporal Frequency Characteristics of the Human Visual System Using a System Identification Approach. EMBC Edmund C. Lalor, Richard B. Reilly, Barak A. Pearlmutter, John J. Foxe
2006	J	`jnl`	The VESPA: A method for the rapid estimation of a visual evoked potential. NeuroImage Edmund C. Lalor, Barak A. Pearlmutter, Richard B. Reilly, Gary McDarby, John J. Foxe
2005	J	`jnl`	Bounds on Query Convergence CoRR Barak A. Pearlmutter
2005	J	`jnl`	Survey of sparse and non-sparse methods in source separation. Int. J. Imaging Syst. Technol. Paul D. O'Grady, Barak A. Pearlmutter, Scott T. Rickard
2004	J	`jnl`	A normative model of attention: receptive field modulation. Neurocomputing Santiago Jaramillo, Barak A. Pearlmutter
2004	—	`conf`	Monaural Source Separation Using Spectral Cues. ICA Barak A. Pearlmutter, Anthony M. Zador
2004	—	`conf`	Soft-LOST: EM on a Mixture of Oriented Lines. ICA Paul D. O'Grady, Barak A. Pearlmutter
2004	—	`conf`	Transformations of Gaussian Process Priors. Deterministic and Statistical Methods in Machine Learning Roderick Murray-Smith, Barak A. Pearlmutter
2003	—	`conf`	Filtered Gaussian Processes for Learning with Large Data-Sets. European Summer School on Multi-AgentControl Jian Qing Shi, Roderick Murray-Smith, D. M. Titterington, Barak A. Pearlmutter
2003	J	`jnl`	MEG source localization using an MLP with a distributed output representation. IEEE Trans. Biomed. Eng. Sung Chan Jun, Barak A. Pearlmutter, Guido Nolte
2003	J	`jnl`	Single-trial detection in EEG and MEG: Keeping it linear. Neurocomputing Lucas C. Parra, Christopher V. Alvino, Akaysha C. Tang, Barak A. Pearlmutter, Nick Yeung, Allen Osman, Paul Sajda
2003	—	`conf`	Subject-Independent Magnetoencephalographic Source Localization by a Multilayer Perceptron. NIPS Sung Chan Jun, Barak A. Pearlmutter
2002	J	`jnl`	Independent Components of Magnetoencephalography: Localization. Neural Comput. Akaysha C. Tang, Barak A. Pearlmutter, Natalie A. Malaszenko, Dan B. Phung, Bethany C. Reeb
2002	J	`jnl`	Independent Components of Magnetoencephalography: Single-Trial Response Onset Times. NeuroImage Akaysha C. Tang, Barak A. Pearlmutter, Natalie A. Malaszenko, Dan B. Phung
2002	J	`jnl`	Linear Spatial Integration for Single-Trial Detection in Encephalography. NeuroImage Lucas C. Parra, Christopher V. Alvino, Akaysha C. Tang, Barak A. Pearlmutter, Nick Yeung, Allen Osman, Paul Sajda
2001	J	`jnl`	Blind Source Separation by Sparse Decomposition in a Signal Dictionary. Neural Comput. Michael Zibulevsky, Barak A. Pearlmutter
2001	—	`conf`	Blind Source Separation via Multinode Sparse Representation. NIPS Michael Zibulevsky, Pavel Kisilev, Yehoshua Y. Zeevi, Barak A. Pearlmutter
2000	J	`jnl`	Blind source separation of multichannel neuromagnetic responses. Neurocomputing Akaysha C. Tang, Barak A. Pearlmutter, Michael Zibulevsky, Scott A. Carter
2000	—	`conf`	Visualizing Communication between Neurons in the Lamina Ganglionaris of Musca domestica. IJCNN (3) Karen G. Haines, Kim M. Edlund, Thomas P. Caudell, Barak A. Pearlmutter, John A. Moya
1999	—	`conf`	An MEG Study of Response Latency and Variability in the Human Visual System During a Visual-Motor Integration Task. NIPS Akaysha C. Tang, Barak A. Pearlmutter, Tim A. Hely, Michael Zibulevsky, Michael P. Weisend
1999	—	`conf`	Detecting Intrusions using System Calls: Alternative Data Models. S&P Christina Warrender, Stephanie Forrest, Barak A. Pearlmutter
1999	—	`conf`	Differentiating Functions of the Jacobian with Respect to the Weights. NIPS Gary William Flake, Barak A. Pearlmutter
1998	—	`conf`	Results of the Abbadingo One DFA Learning Competition and a New Evidence-Driven State Merging Algorithm. ICGI Kevin J. Lang, Barak A. Pearlmutter, Rodney A. Price
1996	J	`jnl`	Doing the Twist: Diagonal Meshes Are Isomorphic to Twisted Toroidal Meshes. IEEE Trans. Computers Barak A. Pearlmutter
1996	J	`jnl`	Garbage Collection with Pointers to Individual Cells. Commun. ACM Barak A. Pearlmutter
1996	—	`conf`	Maximum Likelihood Blind Source Separation: A Context-Sensitive Generalization of ICA. NIPS Barak A. Pearlmutter, Lucas C. Parra
1996	A*	`conf`	VC Dimension of an Integrate-and-Fire Neuron Model. COLT Anthony M. Zador, Barak A. Pearlmutter
1996	J	`jnl`	VC Dimension of an Integrate-and-Fire Neuron Model. Neural Comput. Anthony M. Zador, Barak A. Pearlmutter
1995	J	`jnl`	Gradient calculations for dynamic recurrent neural networks: a survey. IEEE Trans. Neural Networks Barak A. Pearlmutter
1995	J	`jnl`	Time-Skew Hebb rule in a nonisopotential neuron. Neural Comput. Barak A. Pearlmutter
1994	J	`jnl`	Fast Exact Multiplication by the Hessian. Neural Comput. Barak A. Pearlmutter
1994	A*	`conf`	Playing the Matching-Shoulders Lob-Pass Game with Logarithmic Regret. COLT Joe Kilian, Kevin J. Lang, Barak A. Pearlmutter
1994	J	`jnl`	Simplifying Neural Network Soft Weight-sharing Measures by Soft Weight-measure Soft Weight Sharing. Connect. Sci. Barak A. Pearlmutter
1992	—	`conf`	Automatic Learning Rate Maximization in Large Adaptive Machines. NIPS Yann LeCun, Patrice Y. Simard, Barak A. Pearlmutter
1992	J	`jnl`	Comments on 'Dynamic programming approach to optimal weight selection in multilayer neural networks' [with reply]. IEEE Trans. Neural Networks Barak A. Pearlmutter, P. Sanatchandran
1991	—	`conf`	Gradient Descent: Second Order Momentum and Saturating Error. NIPS Barak A. Pearlmutter
1990	—	`conf`	Chaitin-Kolmogorov Complexity and Generalization in Neural Networks. NIPS Barak A. Pearlmutter, Ronald Rosenfeld
1989	J	`jnl`	Learning State Space Trajectories in Recurrent Neural Networks. Neural Comput. Barak A. Pearlmutter
1988	J	`jnl`	Oaklisp: An Object-Oriented Dialect of Scheme. LISP Symb. Comput. Kevin J. Lang, Barak A. Pearlmutter
1988	—	`conf`	Using Backpropagation with Temporal Windows to Learn the Dynamics of the CMU Direct-Drive Arm II. NIPS Kenneth Y. Goldberg, Barak A. Pearlmutter
1986	A	`conf`	Oaklisp: an Object-Oriented Scheme with First Class Types. OOPSLA Kevin J. Lang, Barak A. Pearlmutter