Subutai Ahmad - RankMe

41 papers A 1B 1C 1Misc 1Journal 22Unranked 14

Year	Rank	Type	Title / Venue / Authors
2023	—	`conf`	Supercharged AI Inference on Modern CPUs. HCS Lawrence Spracklen, Subutai Ahmad
2022	J	`jnl`	Avoiding Catastrophe: Active Dendrites Enable Multi-Task Learning in Dynamic Environments. CoRR Abhiram Iyer, Karan Grewal, Akash Velu, Lucas Oliveira Souza, Jeremy Forest, Subutai Ahmad
2022	J	`jnl`	Avoiding Catastrophe: Active Dendrites Enable Multi-Task Learning in Dynamic Environments. Frontiers Neurorobotics Abhiram Iyer, Karan Grewal, Akash Velu, Lucas Oliveira Souza, Jeremy Forest, Subutai Ahmad
2022	J	`jnl`	Two sparsities are better than one: unlocking the performance benefits of sparse-sparse networks. Neuromorph. Comput. Eng. Kevin Lee Hunter, Lawrence Spracklen, Subutai Ahmad
2021	—	`conf`	Avalanche: An End-to-End Library for Continual Learning. CVPR Workshops 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 W. 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
2021	A	`conf`	Grid Cell Path Integration For Movement-Based Visual Object Recognition. BMVC Niels Leadholm, Marcus Lewis, Subutai Ahmad
2021	J	`jnl`	Grid Cell Path Integration For Movement-Based Visual Object Recognition. CoRR Niels Leadholm, Marcus Lewis, Subutai Ahmad
2021	J	`jnl`	Two Sparsities Are Better Than One: Unlocking the Performance Benefits of Sparse-Sparse Networks. CoRR Kevin Lee Hunter, Lawrence Spracklen, Subutai Ahmad
2020	—	`conf`	Long Distance Relationships Without Time Travel: Boosting the Performance of a Sparse Predictive Autoencoder in Sequence Modeling. ANNPR Jeremy Gordon, David Rawlinson, Subutai Ahmad
2019	J	`jnl`	Biologically Driven Artificial Intelligence. Computer Kjell Jørgen Hole, Subutai Ahmad
2019	J	`jnl`	How Can We Be So Dense? The Benefits of Using Highly Sparse Representations. CoRR Subutai Ahmad, Luiz Scheinkman
2019	J	`jnl`	Long Distance Relationships without Time Travel: Boosting the Performance of a Sparse Predictive Autoencoder in Sequence Modeling. CoRR Jeremy Gordon, David Rawlinson, Subutai Ahmad
2018	Misc	`conf`	A Sequence-Based Neuronal Model for Mobile Robot Localization. KI Peer Neubert, Subutai Ahmad, Peter Protzel
2017	J	`jnl`	The HTM Spatial Pooler - A Neocortical Algorithm for Online Sparse Distributed Coding. Frontiers Comput. Neurosci. Yuwei Cui, Subutai Ahmad, Jeff Hawkins
2017	J	`jnl`	Unsupervised real-time anomaly detection for streaming data. Neurocomputing Subutai Ahmad, Alexander Lavin, Scott Purdy, Zuha Agha
2016	B	`conf`	A comparative study of HTM and other neural network models for online sequence learning with streaming data. IJCNN Yuwei Cui, Chetan Surpur, Subutai Ahmad, Jeff Hawkins
2016	J	`jnl`	Continuous Online Sequence Learning with an Unsupervised Neural Network Model. Neural Comput. Yuwei Cui, Subutai Ahmad, Jeff Hawkins
2016	J	`jnl`	How do neurons operate on sparse distributed representations? A mathematical theory of sparsity, neurons and active dendrites. CoRR Subutai Ahmad, Jeff Hawkins
2016	J	`jnl`	Real-Time Anomaly Detection for Streaming Analytics. CoRR Subutai Ahmad, Scott Purdy
2015	J	`jnl`	Continuous online sequence learning with an unsupervised neural network model. CoRR Yuwei Cui, Chetan Surpur, Subutai Ahmad, Jeff Hawkins
2015	C	`conf`	Evaluating Real-Time Anomaly Detection Algorithms - The Numenta Anomaly Benchmark. ICMLA Alexander Lavin, Subutai Ahmad
2015	J	`jnl`	Evaluating Real-time Anomaly Detection Algorithms - the Numenta Anomaly Benchmark. CoRR Alexander Lavin, Subutai Ahmad
2015	J	`jnl`	Porting HTM Models to the Heidelberg Neuromorphic Computing Platform. CoRR Sebastian Billaudelle, Subutai Ahmad
2015	J	`jnl`	Properties of Sparse Distributed Representations and their Application to Hierarchical Temporal Memory. CoRR Subutai Ahmad, Jeff Hawkins
2015	J	`jnl`	Why Neurons Have Thousands of Synapses, A Theory of Sequence Memory in Neocortex. CoRR Jeff Hawkins, Subutai Ahmad
2012	—	`conf`	Automated machine learning for autonomic computing. ICAC Subutai Ahmad
2002	—	`conf`	Analysis-by-synthesis dissolve detection. ICIP (2) Michele Covell, Subutai Ahmad
1997	J	`jnl`	Representing Probabilistic Rules with Networks of Gaussian Basis Functions. Mach. Learn. Volker Tresp, Jürgen Hollatz, Subutai Ahmad
1994	—	`conf`	Efficient Methods for Dealing with Missing Data in Supervised Learning. NIPS Volker Tresp, Ralph Neuneier, Subutai Ahmad
1993	—	`conf`	Classification with missing and uncertain inputs. ICNN Subutai Ahmad, Volker Tresp
1993	J	`jnl`	David Touretzky, Jeffrey Elman, Terrence Sejnowski and Geoffrey Hinton, eds., Connectionist Models: Proceedings of the 1990 Summer School. Artif. Intell. Subutai Ahmad
1993	—	`conf`	Feature Densities Are Required for Computing Feature Correspondences. NIPS Subutai Ahmad
1993	—	`conf`	Training Neural Networks with Deficient Data. NIPS Volker Tresp, Subutai Ahmad, Ralph Neuneier
1992	—	`conf`	Network Structuring and Training Using Rule-Based Knowledge. NIPS Volker Tresp, Jürgen Hollatz, Subutai Ahmad
1992	—	`conf`	Some Solutions to the Missing Feature Problem in Vision. NIPS Subutai Ahmad, Volker Tresp
1991	—	`conf`	VISIT: A Neural Model of Covert Visual Attention. NIPS Subutai Ahmad
1991	—	`—`	VISIT: An efficient computational model of human visual attention Subutai Ahmad
1989	J	`jnl`	Asymptotic Convergence of Backpropagation. Neural Comput. Gerald Tesauro, Yu He, Subutai Ahmad
1989	—	`conf`	Asymptotic Convergence of Backpropagation: Numerical Experiments. NIPS Subutai Ahmad, Gerald Tesauro, Yu He
1988	J	`jnl`	A study of scaling and generalization in neural networks. Neural Networks Subutai Ahmad, Gerald Tesauro
1988	—	`conf`	Scaling and Generalization in Neural Networks: A Case Study. NIPS Subutai Ahmad, Gerald Tesauro