Conducting Credit Assignment by Aligning Local Representations. - Alexander G. Ororbia II; Ankur Arjun Mali; Daniel Kifer; C. Lee Giles (CoRR, 2018)

Learned Iterative Decoding for Lossy Image Compression Systems. - Alexander G. Ororbia II; Ankur Arjun Mali; Jian Wu 006; Scott O'Connell; David J. Miller 001; C. Lee Giles (CoRR, 2018)

Visually Grounded, Situated Learning in Neural Models. - Alexander G. Ororbia II; Ankur Arjun Mali; Matthew A. Kelly; David Reitter (CoRR, 2018)

Online Learning of Recurrent Neural Architectures by Locally Aligning Distributed Representations. - Alexander Ororbia; Ankur Arjun Mali; C. Lee Giles; Daniel Kifer (CoRR, 2018)

Biologically Motivated Algorithms for Propagating Local Target Representations. - Alexander G. Ororbia II; Ankur Arjun Mali (AAAI, 2019)

Like a Baby: Visually Situated Neural Language Acquisition. - Alexander Ororbia; Ankur Arjun Mali; Matthew A. Kelly; David Reitter (ACL (1), 2019)

A Neural Temporal Model for Human Motion Prediction. - Anand Gopalakrishnan; Ankur Arjun Mali; Dan Kifer; C. Lee Giles; Alexander G. Ororbia II (CVPR, 2019)

Learned Neural Iterative Decoding for Lossy Image Compression Systems. - Alexander G. Ororbia II; Ankur Arjun Mali; Jian Wu 006; Scott O'Connell; William Dreese; David J. Miller 001; C. Lee Giles (DCC, 2019)

Lifelong Neural Predictive Coding: Sparsity Yields Less Forgetting when Learning Cumulatively. - Alexander Ororbia; Ankur Arjun Mali; Daniel Kifer; C. Lee Giles (CoRR, 2019)

Sibling Neural Estimators: Improving Iterative Image Decoding with Gradient Communication. - Ankur Arjun Mali; Alexander G. Ororbia II; Clyde Lee Giles (CoRR, 2019)

The Sibling Neural Estimator: Improving Iterative Image Decoding with Gradient Communication. - Ankur Arjun Mali; Alexander G. Ororbia II; C. Lee Giles (DCC, 2020)

Reducing the Computational Burden of Deep Learning with Recursive Local Representation Alignment. - Alexander Ororbia; Ankur Arjun Mali; Daniel Kifer; C. Lee Giles (CoRR, 2020)

Provably Stable Interpretable Encodings of Context Free Grammars in RNNs with a Differentiable Stack. - John Stogin; Ankur Arjun Mali; C. Lee Giles (CoRR, 2020)

A Neural State Pushdown Automata. - Ankur Arjun Mali; Alexander G. Ororbia II; C. Lee Giles (IEEE Trans. Artif. Intell., 2020)

Continual Learning of Recurrent Neural Networks by Locally Aligning Distributed Representations. - Alexander Ororbia; Ankur Arjun Mali; C. Lee Giles; Daniel Kifer (IEEE Trans. Neural Networks Learn. Syst., 2020)

Recognizing and Verifying Mathematical Equations using Multiplicative Differential Neural Units. - Ankur Arjun Mali; Alexander G. Ororbia II; Daniel Kifer; C. Lee Giles (AAAI, 2021)

OmniLayout: Room Layout Reconstruction From Indoor Spherical Panoramas. - Shivansh Rao; Vikas Kumar; Daniel Kifer; C. Lee Giles; Ankur Arjun Mali (CVPR Workshops, 2021)

An Empirical Analysis of Recurrent Learning Algorithms in Neural Lossy Image Compression Systems. - Ankur Arjun Mali; Alexander G. Ororbia II; Dan Kifer; C. Lee Giles (DCC, 2021)

Recognizing Long Grammatical Sequences using Recurrent Networks Augmented with an External Differentiable Stack. - Ankur Arjun Mali; Alexander Ororbia; Daniel Kifer; C. Lee Giles (ICGI, 2021)

Investigating Backpropagation Alternatives when Learning to Dynamically Count with Recurrent Neural Networks. - Ankur Arjun Mali; Alexander Ororbia; Daniel Kifer; C. Lee Giles (ICGI, 2021)

Backprop-Free Reinforcement Learning with Active Neural Generative Coding. - Alexander G. Ororbia II; Ankur Arjun Mali (AAAI, 2022)

Neural JPEG: End-to-End Image Compression Leveraging a Standard JPEG Encoder-Decoder. - Ankur Arjun Mali; Alexander G. Ororbia II; Daniel Kifer; C. Lee Giles (DCC, 2022)

Lifelong Neural Predictive Coding: Learning Cumulatively Online without Forgetting. - Alexander Ororbia; Ankur Arjun Mali; C. Lee Giles; Daniel Kifer (NeurIPS, 2022)

Active Predicting Coding: Brain-Inspired Reinforcement Learning for Sparse Reward Robotic Control Problems. - Alexander Ororbia; Ankur Arjun Mali (CoRR, 2022)

Backpropagation-Free Deep Learning with Recursive Local Representation Alignment. - Alexander G. Ororbia II; Ankur Arjun Mali; Daniel Kifer; C. Lee Giles (AAAI, 2023)

The Predictive Forward-Forward Algorithm. - Alexander Ororbia; Ankur Arjun Mali (CogSci, 2023)

Convolutional Neural Generative Coding: Scaling Predictive Coding to Natural Images. - Alexander Ororbia; Ankur Arjun Mali (CogSci, 2023)

Active Predictive Coding: Brain-Inspired Reinforcement Learning for Sparse Reward Robotic Control Problems. - Alexander Ororbia; Ankur Arjun Mali (ICRA, 2023)

Brain-Inspired Computational Intelligence via Predictive Coding. - Tommaso Salvatori; Ankur Arjun Mali; Christopher L. Buckley; Thomas Lukasiewicz; Rajesh P. N. Rao; Karl J. Friston; Alexander Ororbia (CoRR, 2023)

On the Tensor Representation and Algebraic Homomorphism of the Neural State Turing Machine. - Ankur Arjun Mali; Alexander Ororbia; Daniel Kifer; C. Lee Giles (CoRR, 2023)

On the Computational Complexity and Formal Hierarchy of Second Order Recurrent Neural Networks. - Ankur Arjun Mali; Alexander Ororbia; Daniel Kifer; C. Lee Giles (CoRR, 2023)

A Robust Backpropagation-Free Framework for Images. - Timothy Zee; Alexander Ororbia; Ankur Arjun Mali; Ifeoma Nwogu (Trans. Mach. Learn. Res., 2023)

Neuro-mimetic Task-free Unsupervised Online Learning with Continual Self-Organizing Maps. - Hitesh Vaidya; Travis Desell; Ankur Arjun Mali; Alexander Ororbia (CoRR, 2024)

A Review of Neuroscience-Inspired Machine Learning. - Alexander Ororbia; Ankur Arjun Mali; Adam Kohan; Beren Millidge; Tommaso Salvatori (CoRR, 2024)

A Unified Framework for Continual Learning and Machine Unlearning. - Romit Chatterjee; Vikram S. Chundawat; Ayush K. Tarun; Ankur Arjun Mali; Murari Mandal (CoRR, 2024)

Unlearning or Concealment? A Critical Analysis and Evaluation Metrics for Unlearning in Diffusion Models. - Aakash Sen Sharma; Niladri Sarkar; Vikram S. Chundawat; Ankur Arjun Mali; Murari Mandal (CoRR, 2024)

Precision, Stability, and Generalization: A Comprehensive Assessment of RNNs learnability capability for Classifying Counter and Dyck Languages. - Neisarg Dave; Daniel Kifer; C. Lee Giles; Ankur Arjun Mali (CoRR, 2024)

Tight Stability, Convergence, and Robustness Bounds for Predictive Coding Networks. - Ankur Arjun Mali; Tommaso Salvatori; Alexander Ororbia (CoRR, 2024)

A provably stable neural network Turing Machine with finite precision and time. - John Stogin; Ankur Arjun Mali; C. Lee Giles (Inf. Sci., 2024)

Investigating Pedagogical Teacher and Student LLM Agents: Genetic Adaptation Meets Retrieval Augmented Generation Across Learning Style. - Debdeep Sanyal; Agniva Maiti; Umakanta Maharana; Dhruv Kumar 001; Ankur Arjun Mali; C. Lee Giles; Murari Mandal (CoRR, 2025)