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ORCIDAnkur Arjun Mali
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2020 – today
- 2024
[j4]John Stogin, Ankur Arjun Mali, C. Lee Giles:
A provably stable neural network Turing Machine with finite precision and time. Inf. Sci. 658: 120034 (2024)- [i28]Hitesh Vaidya, Travis Desell, Ankur Arjun Mali, Alexander Ororbia:
Neuro-mimetic Task-free Unsupervised Online Learning with Continual Self-Organizing Maps. CoRR abs/2402.12465 (2024) - [i27]Alexander Ororbia, Ankur Arjun Mali, Adam Kohan, Beren Millidge, Tommaso Salvatori:
A Review of Neuroscience-Inspired Machine Learning. CoRR abs/2403.18929 (2024) - [i26]Neisarg Dave, Daniel Kifer, C. Lee Giles, Ankur Arjun Mali:
Precision, Stability, and Generalization: A Comprehensive Assessment of RNNs learnability capability for Classifying Counter and Dyck Languages. CoRR abs/2410.03118 (2024) - [i25]Ankur Arjun Mali, Tommaso Salvatori, Alexander Ororbia:
Tight Stability, Convergence, and Robustness Bounds for Predictive Coding Networks. CoRR abs/2410.04708 (2024) - 2023
- [j3]Timothy Zee, Alexander Ororbia, Ankur Arjun Mali, Ifeoma Nwogu:
A Robust Backpropagation-Free Framework for Images. Trans. Mach. Learn. Res. 2023 (2023) - [c17]Alexander G. Ororbia II, Ankur Arjun Mali, Daniel Kifer
, C. Lee Giles:
Backpropagation-Free Deep Learning with Recursive Local Representation Alignment. AAAI 2023: 9327-9335 - [c16]Alexander Ororbia, Ankur Arjun Mali:
The Predictive Forward-Forward Algorithm. CogSci 2023 - [c15]Alexander Ororbia, Ankur Arjun Mali:
Convolutional Neural Generative Coding: Scaling Predictive Coding to Natural Images. CogSci 2023 - [c14]Alexander Ororbia, Ankur Arjun Mali:
Active Predictive Coding: Brain-Inspired Reinforcement Learning for Sparse Reward Robotic Control Problems. ICRA 2023: 3015-3021 - [i24]Alexander Ororbia, Ankur Arjun Mali:
The Predictive Forward-Forward Algorithm. CoRR abs/2301.01452 (2023) - [i23]Tommaso Salvatori, Ankur Arjun Mali, Christopher L. Buckley, Thomas Lukasiewicz, Rajesh P. N. Rao, Karl J. Friston, Alexander Ororbia:
Brain-Inspired Computational Intelligence via Predictive Coding. CoRR abs/2308.07870 (2023) - [i22]Ankur Arjun Mali, Alexander Ororbia, Daniel Kifer, C. Lee Giles:
On the Tensor Representation and Algebraic Homomorphism of the Neural State Turing Machine. CoRR abs/2309.14690 (2023) - [i21]Ankur Arjun Mali, Alexander Ororbia, Daniel Kifer, C. Lee Giles:
On the Computational Complexity and Formal Hierarchy of Second Order Recurrent Neural Networks. CoRR abs/2309.14691 (2023) - 2022
- [c13]Alexander G. Ororbia II, Ankur Arjun Mali:
Backprop-Free Reinforcement Learning with Active Neural Generative Coding. AAAI 2022: 29-37 - [c12]Ankur Arjun Mali, Alexander G. Ororbia II, Daniel Kifer, C. Lee Giles:
Neural JPEG: End-to-End Image Compression Leveraging a Standard JPEG Encoder-Decoder. DCC 2022: 471 - [c11]Alexander Ororbia, Ankur Arjun Mali, C. Lee Giles, Daniel Kifer:
Lifelong Neural Predictive Coding: Learning Cumulatively Online without Forgetting. NeurIPS 2022 - [i20]Ankur Arjun Mali, Alexander Ororbia, Daniel Kifer, C. Lee Giles:
An Empirical Analysis of Recurrent Learning Algorithms In Neural Lossy Image Compression Systems. CoRR abs/2201.11782 (2022) - [i19]Ankur Arjun Mali, Alexander Ororbia, Daniel Kifer, C. Lee Giles:
Neural JPEG: End-to-End Image Compression Leveraging a Standard JPEG Encoder-Decoder. CoRR abs/2201.11795 (2022) - [i18]Timothy Zee, Alexander G. Ororbia II, Ankur Arjun Mali, Ifeoma Nwogu:
A Robust Backpropagation-Free Framework for Images. CoRR abs/2206.01820 (2022) - [i17]Alexander Ororbia, Ankur Arjun Mali:
Active Predicting Coding: Brain-Inspired Reinforcement Learning for Sparse Reward Robotic Control Problems. CoRR abs/2209.09174 (2022) - [i16]Alexander Ororbia, Ankur Arjun Mali:
Convolutional Neural Generative Coding: Scaling Predictive Coding to Natural Images. CoRR abs/2211.12047 (2022) - 2021
- [c10]Ankur Arjun Mali, Alexander G. Ororbia II, Daniel Kifer, C. Lee Giles:
Recognizing and Verifying Mathematical Equations using Multiplicative Differential Neural Units. AAAI 2021: 5006-5015 - [c9]Shivansh Rao, Vikas Kumar, Daniel Kifer, C. Lee Giles, Ankur Arjun Mali:
OmniLayout: Room Layout Reconstruction From Indoor Spherical Panoramas. CVPR Workshops 2021: 3706-3715 - [c8]Ankur Arjun Mali, Alexander G. Ororbia II, Dan Kifer, C. Lee Giles:
An Empirical Analysis of Recurrent Learning Algorithms in Neural Lossy Image Compression Systems. DCC 2021: 356 - [c7]Ankur Arjun Mali, Alexander Ororbia, Daniel Kifer, C. Lee Giles:
Recognizing Long Grammatical Sequences using Recurrent Networks Augmented with an External Differentiable Stack. ICGI 2021: 130-153 - [c6]Ankur Arjun Mali, Alexander Ororbia, Daniel Kifer, C. Lee Giles:
Investigating Backpropagation Alternatives when Learning to Dynamically Count with Recurrent Neural Networks. ICGI 2021: 154-175 - [i15]Ankur Arjun Mali, Alexander Ororbia, Daniel Kifer, C. Lee Giles:
Recognizing and Verifying Mathematical Equations using Multiplicative Differential Neural Units. CoRR abs/2104.02899 (2021) - [i14]Shivansh Rao, Vikas Kumar, Daniel Kifer, C. Lee Giles, Ankur Arjun Mali:
OmniLayout: Room Layout Reconstruction from Indoor Spherical Panoramas. CoRR abs/2104.09403 (2021) - [i13]Alexander Ororbia, Ankur Arjun Mali:
Backprop-Free Reinforcement Learning with Active Neural Generative Coding. CoRR abs/2107.07046 (2021) - 2020
- [j2]Ankur Arjun Mali, Alexander G. Ororbia II, C. Lee Giles:
A Neural State Pushdown Automata. IEEE Trans. Artif. Intell. 1(3): 193-205 (2020) - [j1]Alexander Ororbia, Ankur Arjun Mali, C. Lee Giles, Daniel Kifer:
Continual Learning of Recurrent Neural Networks by Locally Aligning Distributed Representations. IEEE Trans. Neural Networks Learn. Syst. 31(10): 4267-4278 (2020) - [c5]Ankur Arjun Mali, Alexander G. Ororbia II, C. Lee Giles:
The Sibling Neural Estimator: Improving Iterative Image Decoding with Gradient Communication. DCC 2020: 23-32 - [i12]Alexander Ororbia, Ankur Arjun Mali, Daniel Kifer, C. Lee Giles:
Reducing the Computational Burden of Deep Learning with Recursive Local Representation Alignment. CoRR abs/2002.03911 (2020) - [i11]Ankur Arjun Mali, Alexander Ororbia, Daniel Kifer, Clyde Lee Giles:
Recognizing Long Grammatical Sequences Using Recurrent Networks Augmented With An External Differentiable Stack. CoRR abs/2004.07623 (2020) - [i10]John Stogin, Ankur Arjun Mali, C. Lee Giles:
Provably Stable Interpretable Encodings of Context Free Grammars in RNNs with a Differentiable Stack. CoRR abs/2006.03651 (2020)
2010 – 2019
- 2019
- [c4]Alexander G. Ororbia II, Ankur Arjun Mali:
Biologically Motivated Algorithms for Propagating Local Target Representations. AAAI 2019: 4651-4658 - [c3]Alexander Ororbia, Ankur Arjun Mali, Matthew A. Kelly, David Reitter:
Like a Baby: Visually Situated Neural Language Acquisition. ACL (1) 2019: 5127-5136 - [c2]Anand Gopalakrishnan, Ankur Arjun Mali, Dan Kifer, C. Lee Giles, Alexander G. Ororbia II:
A Neural Temporal Model for Human Motion Prediction. CVPR 2019: 12116-12125 - [c1]Alexander G. Ororbia II, Ankur Arjun Mali, Jian Wu, Scott O'Connell, William Dreese, David J. Miller, C. Lee Giles:
Learned Neural Iterative Decoding for Lossy Image Compression Systems. DCC 2019: 3-12 - [i9]Alexander Ororbia, Ankur Arjun Mali, Daniel Kifer, C. Lee Giles:
Lifelong Neural Predictive Coding: Sparsity Yields Less Forgetting when Learning Cumulatively. CoRR abs/1905.10696 (2019) - [i8]Ankur Arjun Mali, Alexander Ororbia, C. Lee Giles:
The Neural State Pushdown Automata. CoRR abs/1909.05233 (2019) - [i7]Ankur Arjun Mali, Alexander G. Ororbia II, Clyde Lee Giles:
Sibling Neural Estimators: Improving Iterative Image Decoding with Gradient Communication. CoRR abs/1911.08478 (2019) - 2018
- [i6]Alexander G. Ororbia II, Ankur Arjun Mali, Daniel Kifer, C. Lee Giles:
Conducting Credit Assignment by Aligning Local Representations. CoRR abs/1803.01834 (2018) - [i5]Alexander G. Ororbia II, Ankur Arjun Mali, Jian Wu, Scott O'Connell, David J. Miller, C. Lee Giles:
Learned Iterative Decoding for Lossy Image Compression Systems. CoRR abs/1803.05863 (2018) - [i4]Alexander G. Ororbia II, Ankur Arjun Mali, Matthew A. Kelly, David Reitter:
Visually Grounded, Situated Learning in Neural Models. CoRR abs/1805.11546 (2018) - [i3]Alexander G. Ororbia II, Ankur Arjun Mali:
Biologically Motivated Algorithms for Propagating Local Target Representations. CoRR abs/1805.11703 (2018) - [i2]Anand Gopalakrishnan, Ankur Arjun Mali, Dan Kifer, C. Lee Giles, Alexander G. Ororbia II:
A Neural Temporal Model for Human Motion Prediction. CoRR abs/1809.03036 (2018) - [i1]Alexander Ororbia, Ankur Arjun Mali, C. Lee Giles, Daniel Kifer:
Online Learning of Recurrent Neural Architectures by Locally Aligning Distributed Representations. CoRR abs/1810.07411 (2018)
Coauthor Index
aka: Clyde Lee Giles
aka: Dan Kifer
aka: Alexander G. Ororbia II
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