Ankur Mali - RankMe

65 papers A* 8B 5C 2Journal 45Unranked 5

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	A survey on neuro-mimetic deep learning via predictive coding. Neural Networks Tommaso Salvatori, Ankur Mali, Christopher L. Buckley, Thomas Lukasiewicz, Rajesh P. N. Rao, Karl J. Friston, Alexander Ororbia
2026	J	`jnl`	Curvature-Weighted Capacity Allocation: A Minimum Description Length Framework for Layer-Adaptive Large Language Model Optimization. CoRR Theophilus Amaefuna, Hitesh Vaidya, Anshuman Chhabra, Ankur Mali
2025	C	`conf`	Bridging Neural and Symbolic Computation: A Learnability Study of RNNs on Counter and Dyck Languages. NeSy Neisarg Dave, Daniel Kifer, C. Lee Giles, Ankur Mali
2025	J	`jnl`	Bridging Predictive Coding and MDL: A Two-Part Code Framework for Deep Learning. CoRR Benjamin Prada, Shion Matsumoto, Abdul Malik Zekri, Ankur Mali
2025	B	`conf`	Chain-of-Thought for Cancer Pathology Interpretation and Summarization. SMARTCOMP Ankur Mali, Adrian Kohut, John Michael Templeton
2025	J	`jnl`	Circuit Complexity From Physical Constraints: Scaling Limitations of Attention. CoRR Benjamin Prada, Ankur Mali
2025	J	`jnl`	Integral Signatures of Activation Functions: A 9-Dimensional Taxonomy and Stability Theory for Deep Learning. CoRR Ankur Mali, Lawrence Hall, Jake Williams, Gordon Richards
2025	J	`jnl`	Investigating Pedagogical Teacher and Student LLM Agents: Genetic Adaptation Meets Retrieval Augmented Generation Across Learning Style. CoRR Debdeep Sanyal, Agniva Maiti, Umakanta Maharana, Dhruv Kumar, Ankur Mali, C. Lee Giles, Murari Mandal
2025	A*	`conf`	Investigating Pedagogical Teacher and Student LLM Agents: Genetic Adaptation Meets Retrieval-Augmented Generation Across Learning Styles. EMNLP Debdeep Sanyal, Agniva Maiti, Umakanta Maharana, Dhruv Kumar, Ankur Mali, C. Lee Giles, Murari Mandal
2025	C	`conf`	Rethinking Reasoning in LLMs: Neuro-Symbolic Local RetoMaton Beyond CoT and ICL. NeSy Rushitha Santhoshi Mamidala, Anshuman Chhabra, Ankur Mali
2025	J	`jnl`	Rethinking Reasoning in LLMs: Neuro-Symbolic Local RetoMaton Beyond ICL and CoT. CoRR Rushitha Santhoshi Mamidala, Anshuman Chhabra, Ankur Mali
2024	J	`jnl`	A Review of Neuroscience-Inspired Machine Learning. CoRR Alexander Ororbia, Ankur Mali, Adam Kohan, Beren Millidge, Tommaso Salvatori
2024	J	`jnl`	A Unified Framework for Continual Learning and Machine Unlearning. CoRR Romit Chatterjee, Vikram S. Chundawat, Ayush K. Tarun, Ankur Mali, Murari Mandal
2024	J	`jnl`	A provably stable neural network Turing Machine with finite precision and time. Inf. Sci. John Stogin, Ankur Mali, C. Lee Giles
2024	J	`jnl`	Exploring Learnability in Memory-Augmented Recurrent Neural Networks: Precision, Stability, and Empirical Insights. CoRR Shrabon Das, Ankur Mali
2024	—	`conf`	Investigating Symbolic Capabilities of Large Language Models. LNSAI@IJCAI Neisarg Dave, Daniel Kifer, C. Lee Giles, Ankur Mali
2024	J	`jnl`	Investigating Symbolic Capabilities of Large Language Models. CoRR Neisarg Dave, Daniel Kifer, C. Lee Giles, Ankur Mali
2024	J	`jnl`	Neuro-mimetic Task-free Unsupervised Online Learning with Continual Self-Organizing Maps. CoRR Hitesh Vaidya, Travis Desell, Ankur Mali, Alexander Ororbia
2024	J	`jnl`	Precision, Stability, and Generalization: A Comprehensive Assessment of RNNs learnability capability for Classifying Counter and Dyck Languages. CoRR Neisarg Dave, Daniel Kifer, C. Lee Giles, Ankur Mali
2024	J	`jnl`	Stability Analysis of Various Symbolic Rule Extraction Methods from Recurrent Neural Network. CoRR Neisarg Dave, Daniel Kifer, C. Lee Giles, Ankur Mali
2024	J	`jnl`	Stable and Robust Deep Learning By Hyperbolic Tangent Exponential Linear Unit (TeLU). CoRR Alfredo Fernandez, Ankur Mali
2024	J	`jnl`	TeLU Activation Function for Fast and Stable Deep Learning. CoRR Alfredo Fernandez, Ankur Mali
2024	J	`jnl`	Tight Stability, Convergence, and Robustness Bounds for Predictive Coding Networks. CoRR Ankur Mali, Tommaso Salvatori, Alexander Ororbia
2023	J	`jnl`	A Robust Backpropagation-Free Framework for Images. Trans. Mach. Learn. Res. Timothy Zee, Alexander Ororbia, Ankur Mali, Ifeoma Nwogu
2023	A*	`conf`	Active Predictive Coding: Brain-Inspired Reinforcement Learning for Sparse Reward Robotic Control Problems. ICRA Alexander Ororbia, Ankur Mali
2023	A*	`conf`	Backpropagation-Free Deep Learning with Recursive Local Representation Alignment. AAAI Alexander G. Ororbia II, Ankur Mali, Daniel Kifer, C. Lee Giles
2023	J	`jnl`	Brain-Inspired Computational Intelligence via Predictive Coding. CoRR Tommaso Salvatori, Ankur Mali, Christopher L. Buckley, Thomas Lukasiewicz, Rajesh P. N. Rao, Karl J. Friston, Alexander Ororbia
2023	J	`jnl`	On the Computational Complexity and Formal Hierarchy of Second Order Recurrent Neural Networks. CoRR Ankur Mali, Alexander Ororbia, Daniel Kifer, C. Lee Giles
2023	J	`jnl`	On the Tensor Representation and Algebraic Homomorphism of the Neural State Turing Machine. CoRR Ankur Mali, Alexander Ororbia, Daniel Kifer, C. Lee Giles
2023	J	`jnl`	The Predictive Forward-Forward Algorithm. CoRR Alexander Ororbia, Ankur Mali
2022	J	`jnl`	A Robust Backpropagation-Free Framework for Images. CoRR Timothy Zee, Alexander G. Ororbia II, Ankur Mali, Ifeoma Nwogu
2022	J	`jnl`	Active Predicting Coding: Brain-Inspired Reinforcement Learning for Sparse Reward Robotic Control Problems. CoRR Alexander Ororbia, Ankur Mali
2022	J	`jnl`	An Empirical Analysis of Recurrent Learning Algorithms In Neural Lossy Image Compression Systems. CoRR Ankur Mali, Alexander Ororbia, Daniel Kifer, C. Lee Giles
2022	A*	`conf`	Backprop-Free Reinforcement Learning with Active Neural Generative Coding. AAAI Alexander G. Ororbia II, Ankur Mali
2022	J	`jnl`	Convolutional Neural Generative Coding: Scaling Predictive Coding to Natural Images. CoRR Alexander Ororbia, Ankur Mali
2022	A*	`conf`	Lifelong Neural Predictive Coding: Learning Cumulatively Online without Forgetting. NeurIPS Alexander Ororbia, Ankur Mali, C. Lee Giles, Daniel Kifer
2022	J	`jnl`	Like a bilingual baby: The advantage of visually grounding a bilingual language model. CoRR Khai-Nguyen Nguyen, Zixin Tang, Ankur Mali, M. Alex Kelly
2022	B	`conf`	Neural JPEG: End-to-End Image Compression Leveraging a Standard JPEG Encoder-Decoder. DCC Ankur Mali, Alexander G. Ororbia II, Daniel Kifer, C. Lee Giles
2022	J	`jnl`	Neural JPEG: End-to-End Image Compression Leveraging a Standard JPEG Encoder-Decoder. CoRR Ankur Mali, Alexander Ororbia, Daniel Kifer, C. Lee Giles
2021	B	`conf`	An Empirical Analysis of Recurrent Learning Algorithms in Neural Lossy Image Compression Systems. DCC Ankur Mali, Alexander G. Ororbia II, Dan Kifer, C. Lee Giles
2021	J	`jnl`	Backprop-Free Reinforcement Learning with Active Neural Generative Coding. CoRR Alexander Ororbia, Ankur Mali
2021	—	`conf`	Investigating Backpropagation Alternatives when Learning to Dynamically Count with Recurrent Neural Networks. ICGI Ankur Mali, Alexander Ororbia, Daniel Kifer, C. Lee Giles
2021	—	`conf`	OmniLayout: Room Layout Reconstruction From Indoor Spherical Panoramas. CVPR Workshops Shivansh Rao, Vikas Kumar, Daniel Kifer, C. Lee Giles, Ankur Mali
2021	J	`jnl`	OmniLayout: Room Layout Reconstruction from Indoor Spherical Panoramas. CoRR Shivansh Rao, Vikas Kumar, Daniel Kifer, C. Lee Giles, Ankur Mali
2021	—	`conf`	Recognizing Long Grammatical Sequences using Recurrent Networks Augmented with an External Differentiable Stack. ICGI Ankur Mali, Alexander Ororbia, Daniel Kifer, C. Lee Giles
2021	A*	`conf`	Recognizing and Verifying Mathematical Equations using Multiplicative Differential Neural Units. AAAI Ankur Mali, Alexander G. Ororbia II, Daniel Kifer, C. Lee Giles
2021	J	`jnl`	Recognizing and Verifying Mathematical Equations using Multiplicative Differential Neural Units. CoRR Ankur Mali, Alexander Ororbia, Daniel Kifer, C. Lee Giles
2020	J	`jnl`	Continual Learning of Recurrent Neural Networks by Locally Aligning Distributed Representations. IEEE Trans. Neural Networks Learn. Syst. Alexander Ororbia, Ankur Mali, C. Lee Giles, Daniel Kifer
2020	J	`jnl`	Provably Stable Interpretable Encodings of Context Free Grammars in RNNs with a Differentiable Stack. CoRR John Stogin, Ankur Mali, C. Lee Giles
2020	J	`jnl`	Recognizing Long Grammatical Sequences Using Recurrent Networks Augmented With An External Differentiable Stack. CoRR Ankur Mali, Alexander Ororbia, Daniel Kifer, Clyde Lee Giles
2020	J	`jnl`	Reducing the Computational Burden of Deep Learning with Recursive Local Representation Alignment. CoRR Alexander Ororbia, Ankur Mali, Daniel Kifer, C. Lee Giles
2020	B	`conf`	The Sibling Neural Estimator: Improving Iterative Image Decoding with Gradient Communication. DCC Ankur Mali, Alexander G. Ororbia II, C. Lee Giles
2019	A*	`conf`	A Neural Temporal Model for Human Motion Prediction. CVPR Anand Gopalakrishnan, Ankur Mali, Dan Kifer, C. Lee Giles, Alexander G. Ororbia II
2019	A*	`conf`	Biologically Motivated Algorithms for Propagating Local Target Representations. AAAI Alexander G. Ororbia II, Ankur Mali
2019	B	`conf`	Learned Neural Iterative Decoding for Lossy Image Compression Systems. DCC Alexander G. Ororbia II, Ankur Mali, Jian Wu, Scott O'Connell, William Dreese, David J. Miller, C. Lee Giles
2019	J	`jnl`	Lifelong Neural Predictive Coding: Sparsity Yields Less Forgetting when Learning Cumulatively. CoRR Alexander Ororbia, Ankur Mali, Daniel Kifer, C. Lee Giles
2019	—	`conf`	Like a Baby: Visually Situated Neural Language Acquisition. ACL (1) Alexander Ororbia, Ankur Mali, Mary Alexandria Kelly, David Reitter
2019	J	`jnl`	Sibling Neural Estimators: Improving Iterative Image Decoding with Gradient Communication. CoRR Ankur Mali, Alexander G. Ororbia II, Clyde Lee Giles
2019	J	`jnl`	The Neural State Pushdown Automata. CoRR Ankur Mali, Alexander Ororbia, C. Lee Giles
2018	J	`jnl`	A Neural Temporal Model for Human Motion Prediction. CoRR Anand Gopalakrishnan, Ankur Mali, Dan Kifer, C. Lee Giles, Alexander G. Ororbia II
2018	J	`jnl`	Biologically Motivated Algorithms for Propagating Local Target Representations. CoRR Alexander G. Ororbia II, Ankur Mali
2018	J	`jnl`	Conducting Credit Assignment by Aligning Local Representations. CoRR Alexander G. Ororbia II, Ankur Mali, Daniel Kifer, C. Lee Giles
2018	J	`jnl`	Learned Iterative Decoding for Lossy Image Compression Systems. CoRR Alexander G. Ororbia II, Ankur Mali, Jian Wu, Scott O'Connell, David J. Miller, C. Lee Giles
2018	J	`jnl`	Online Learning of Recurrent Neural Architectures by Locally Aligning Distributed Representations. CoRR Alexander Ororbia, Ankur Mali, C. Lee Giles, Daniel Kifer
2018	J	`jnl`	Visually Grounded, Situated Learning in Neural Models. CoRR Alexander G. Ororbia II, Ankur Mali, M. Alex Kelly, David Reitter