Subutai Ahmad

Publication Activity (10 Years)

Years Active: 1988-2023
Publications (10 Years): 19

Top Topics

Distributed Representations

Anomaly Detection

Top Venues

Publications

Lawrence Spracklen, Subutai Ahmad
Supercharged AI Inference on Modern CPUs. HCS (2023)
Abhiram Iyer, Karan Grewal, Akash Velu, Lucas Oliveira Souza, Jeremy Forest, Subutai Ahmad
Avoiding Catastrophe: Active Dendrites Enable Multi-Task Learning in Dynamic Environments. CoRR (2022)
Abhiram Iyer, Karan Grewal, Akash Velu, Lucas Oliveira Souza, Jeremy Forest, Subutai Ahmad
Avoiding Catastrophe: Active Dendrites Enable Multi-Task Learning in Dynamic Environments. Frontiers Neurorobotics 16 (2022)
Kevin Lee Hunter, Lawrence Spracklen, Subutai Ahmad
Two sparsities are better than one: unlocking the performance benefits of sparse-sparse networks. Neuromorph. Comput. Eng. 2 (3) (2022)
Vincenzo Lomonaco, Lorenzo Pellegrini, Andrea Cossu, Antonio Carta, Gabriele Graffieti, Tyler L. Hayes, Matthias De Lange, Marc Masana, Jary Pomponi, Gido M. van de Ven, Martin Mundt, Qi She, Keiland Cooper, Jeremy Forest, Eden Belouadah, Simone Calderara, German Ignacio Parisi, Fabio Cuzzolin, Andreas S. Tolias, Simone Scardapane, Luca Antiga, Subutai Ahmad, Adrian Popescu, Christopher Kanan, Joost van de Weijer, Tinne Tuytelaars, Davide Bacciu, Davide Maltoni
Avalanche: An End-to-End Library for Continual Learning. CVPR Workshops (2021)
Niels Leadholm, Marcus Lewis, Subutai Ahmad
Grid Cell Path Integration For Movement-Based Visual Object Recognition. BMVC (2021)
Niels Leadholm, Marcus Lewis, Subutai Ahmad
Grid Cell Path Integration For Movement-Based Visual Object Recognition. CoRR (2021)
Kevin Lee Hunter, Lawrence Spracklen, Subutai Ahmad
Two Sparsities Are Better Than One: Unlocking the Performance Benefits of Sparse-Sparse Networks. CoRR (2021)
Jeremy Gordon, David Rawlinson, Subutai Ahmad
Long Distance Relationships Without Time Travel: Boosting the Performance of a Sparse Predictive Autoencoder in Sequence Modeling. ANNPR (2020)
Kjell Jørgen Hole, Subutai Ahmad
Biologically Driven Artificial Intelligence. Computer 52 (8) (2019)
Subutai Ahmad, Luiz Scheinkman
How Can We Be So Dense? The Benefits of Using Highly Sparse Representations. CoRR (2019)
Jeremy Gordon, David Rawlinson, Subutai Ahmad
Long Distance Relationships without Time Travel: Boosting the Performance of a Sparse Predictive Autoencoder in Sequence Modeling. CoRR (2019)
Peer Neubert, Subutai Ahmad, Peter Protzel
A Sequence-Based Neuronal Model for Mobile Robot Localization. KI (2018)
Subutai Ahmad, Alexander Lavin, Scott Purdy, Zuha Agha
Unsupervised real-time anomaly detection for streaming data. Neurocomputing 262 (2017)
Yuwei Cui, Subutai Ahmad, Jeff Hawkins
The HTM Spatial Pooler - A Neocortical Algorithm for Online Sparse Distributed Coding. Frontiers Comput. Neurosci. 11 (2017)
Subutai Ahmad, Scott Purdy
Real-Time Anomaly Detection for Streaming Analytics. CoRR (2016)
Subutai Ahmad, Jeff Hawkins
How do neurons operate on sparse distributed representations? A mathematical theory of sparsity, neurons and active dendrites. CoRR (2016)
Yuwei Cui, Chetan Surpur, Subutai Ahmad, Jeff Hawkins
A comparative study of HTM and other neural network models for online sequence learning with streaming data. IJCNN (2016)
Yuwei Cui, Subutai Ahmad, Jeff Hawkins
Continuous Online Sequence Learning with an Unsupervised Neural Network Model. Neural Comput. 28 (11) (2016)
Subutai Ahmad, Jeff Hawkins
Properties of Sparse Distributed Representations and their Application to Hierarchical Temporal Memory. CoRR (2015)
Yuwei Cui, Chetan Surpur, Subutai Ahmad, Jeff Hawkins
Continuous online sequence learning with an unsupervised neural network model. CoRR (2015)
Jeff Hawkins, Subutai Ahmad
Why Neurons Have Thousands of Synapses, A Theory of Sequence Memory in Neocortex. CoRR (2015)
Alexander Lavin, Subutai Ahmad
Evaluating Real-Time Anomaly Detection Algorithms - The Numenta Anomaly Benchmark. ICMLA (2015)
Sebastian Billaudelle, Subutai Ahmad
Porting HTM Models to the Heidelberg Neuromorphic Computing Platform. CoRR (2015)
Alexander Lavin, Subutai Ahmad
Evaluating Real-time Anomaly Detection Algorithms - the Numenta Anomaly Benchmark. CoRR (2015)
Subutai Ahmad
Automated machine learning for autonomic computing. ICAC (2012)
Michele Covell, Subutai Ahmad
Analysis-by-synthesis dissolve detection. ICIP (2) (2002)
Volker Tresp, Jürgen Hollatz, Subutai Ahmad
Representing Probabilistic Rules with Networks of Gaussian Basis Functions. Mach. Learn. 27 (2) (1997)
Volker Tresp, Ralph Neuneier, Subutai Ahmad
Efficient Methods for Dealing with Missing Data in Supervised Learning. NIPS (1994)
Subutai Ahmad
Feature Densities Are Required for Computing Feature Correspondences. NIPS (1993)
Subutai Ahmad, Volker Tresp
Classification with missing and uncertain inputs. ICNN (1993)
Subutai Ahmad
David Touretzky, Jeffrey Elman, Terrence Sejnowski and Geoffrey Hinton, eds., Connectionist Models: Proceedings of the 1990 Summer School. Artif. Intell. 62 (1) (1993)
Volker Tresp, Subutai Ahmad, Ralph Neuneier
Training Neural Networks with Deficient Data. NIPS (1993)
Volker Tresp, Jürgen Hollatz, Subutai Ahmad
Network Structuring and Training Using Rule-Based Knowledge. NIPS (1992)
Subutai Ahmad, Volker Tresp
Some Solutions to the Missing Feature Problem in Vision. NIPS (1992)
Subutai Ahmad
VISIT: A Neural Model of Covert Visual Attention. NIPS (1991)
Subutai Ahmad, Gerald Tesauro, Yu He
Asymptotic Convergence of Backpropagation: Numerical Experiments. NIPS (1989)
Gerald Tesauro, Yu He, Subutai Ahmad
Asymptotic Convergence of Backpropagation. Neural Comput. 1 (3) (1989)
Subutai Ahmad, Gerald Tesauro
A study of scaling and generalization in neural networks. Neural Networks 1 (Supplement-1) (1988)
Subutai Ahmad, Gerald Tesauro
Scaling and Generalization in Neural Networks: A Case Study. NIPS (1988)