![](https://dblp.uni-trier.de/img/logo.ua.320x120.png)
![](https://dblp.uni-trier.de/img/dropdown.dark.16x16.png)
![](https://dblp.uni-trier.de/img/peace.dark.16x16.png)
Остановите войну!
for scientists:
![search dblp search dblp](https://dblp.uni-trier.de/img/search.dark.16x16.png)
![search dblp](https://dblp.uni-trier.de/img/search.dark.16x16.png)
default search action
Alexander Ororbia
Person information
Refine list
![note](https://dblp.uni-trier.de/img/note-mark.dark.12x12.png)
refinements active!
zoomed in on ?? of ?? records
view refined list in
export refined list as
Journal Articles
- 2024
- [j13]Viet Dung Nguyen
, Reynold Bailey
, Gabriel J. Diaz
, Chengyi Ma
, Alexander Fix
, Alexander Ororbia
:
Deep Domain Adaptation: A Sim2Real Neural Approach for Improving Eye-Tracking Systems. Proc. ACM Comput. Graph. Interact. Tech. 7(2): 25:1-25:17 (2024) - 2023
- [j12]Zimeng Lyu
, Alexander Ororbia, Travis Desell:
Online evolutionary neural architecture search for multivariate non-stationary time series forecasting. Appl. Soft Comput. 145: 110522 (2023) - [j11]AbdElRahman ElSaid
, Karl Ricanek, Zimeng Lyu, Alexander Ororbia, Travis Desell:
Backpropagation-free 4D continuous ant-based neural topology search. Appl. Soft Comput. 147: 110737 (2023) - [j10]Zhizhuo Yang, Gabriel J. Diaz, Brett R. Fajen, Reynold Bailey, Alexander G. Ororbia II:
A neural active inference model of perceptual-motor learning. Frontiers Comput. Neurosci. 17 (2023) - [j9]Alexander Ororbia:
Spiking neural predictive coding for continually learning from data streams. Neurocomputing 544: 126292 (2023) - [j8]Marcos Zampieri, Tharindu Ranasinghe
, Diptanu Sarkar, Alexander Ororbia:
Offensive language identification with multi-task learning. J. Intell. Inf. Syst. 60(3): 613-630 (2023) - [j7]Timothy Zee, Alexander Ororbia, Ankur Arjun Mali, Ifeoma Nwogu:
A Robust Backpropagation-Free Framework for Images. Trans. Mach. Learn. Res. 2023 (2023) - 2020
- [j6]Ankur Arjun Mali, Alexander G. Ororbia II, C. Lee Giles
:
A Neural State Pushdown Automata. IEEE Trans. Artif. Intell. 1(3): 193-205 (2020) - [j5]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) - 2018
- [j4]Qinglong Wang, Kaixuan Zhang, Alexander G. Ororbia II, Xinyu Xing, Xue Liu, C. Lee Giles:
An Empirical Evaluation of Rule Extraction from Recurrent Neural Networks. Neural Comput. 30(9) (2018) - 2017
- [j3]Alexander G. Ororbia II, Daniel Kifer, C. Lee Giles:
Unifying Adversarial Training Algorithms with Data Gradient Regularization. Neural Comput. 29(4): 867-887 (2017) - [j2]Alexander G. Ororbia II, Tomás Mikolov, David Reitter:
Learning Simpler Language Models with the Differential State Framework. Neural Comput. 29(12) (2017) - 2015
- [j1]Jian Wu, Kyle Mark Williams, Hung-Hsuan Chen, Madian Khabsa, Cornelia Caragea
, Suppawong Tuarob, Alexander Ororbia, Douglas Jordan, Prasenjit Mitra, C. Lee Giles
:
CiteSeerX: AI in a Digital Library Search Engine. AI Mag. 36(3): 35-48 (2015)
Conference and Workshop Papers
- 2024
- [c48]Devroop Kar
, Zimeng Lyu
, Alexander G. Ororbia II
, Travis Desell
, Daniel E. Krutz
:
Enabling An Informed Contextual Multi-Armed Bandit Framework For Stock Trading With Neuroevolution. GECCO Companion 2024: 1924-1933 - 2023
- [c47]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 - [c46]Tharindu Cyril Weerasooriya
, Alexander Ororbia, Raj Bhensadadia, Ashiqur R. KhudaBukhsh, Christopher Homan:
Disagreement Matters: Preserving Label Diversity by Jointly Modeling Item and Annotator Label Distributions with DisCo. ACL (Findings) 2023: 4679-4695 - [c45]Alexander Ororbia, Ankur Arjun Mali:
The Predictive Forward-Forward Algorithm. CogSci 2023 - [c44]Alexander Ororbia, Ankur Arjun Mali:
Convolutional Neural Generative Coding: Scaling Predictive Coding to Natural Images. CogSci 2023 - [c43]Alexander Ororbia, Ankur Arjun Mali:
Active Predictive Coding: Brain-Inspired Reinforcement Learning for Sparse Reward Robotic Control Problems. ICRA 2023: 3015-3021 - 2022
- [c42]Alexander G. Ororbia II, Ankur Arjun Mali:
Backprop-Free Reinforcement Learning with Active Neural Generative Coding. AAAI 2022: 29-37 - [c41]Hitesh Vaidya, Travis Desell, Alexander G. Ororbia II:
Reducing Catastrophic Forgetting in Self Organizing Maps with Internally-Induced Generative Replay (Student Abstract). AAAI 2022: 13069-13070 - [c40]Alexander G. Ororbia II
, Matthew Alex Kelly
:
Maze Learning Using a Hyperdimensional Predictive Processing Cognitive Architecture. AGI 2022: 321-331 - [c39]Alexander Ororbia, Matthew Alex Kelly:
CogNGen: Building the Kernel for a Hyperdimensional Predictive Processing Cognitive Architecture. CogSci 2022 - [c38]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 - [c37]Tharindu Cyril Weerasooriya, Alexander Ororbia, Christopher Homan:
Improving Label Quality by Jointly Modeling Items and Annotators. NLPerspectives@LREC 2022: 95-99 - [c36]Camille Mince, Skye Rhomberg, Cecilia O. Alm
, Reynold Bailey
, Alexander Ororbia:
Multimodal Modeling of Task-Mediated Confusion. NAACL-HLT (Student Research Workshop) 2022: 188-194 - [c35]Alexander Ororbia, Ankur Arjun Mali, C. Lee Giles, Daniel Kifer:
Lifelong Neural Predictive Coding: Learning Cumulatively Online without Forgetting. NeurIPS 2022 - 2021
- [c34]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 - [c33]Nikhil Kaushik, Reynold Bailey
, Alexander Ororbia, Cecilia O. Alm:
Eliciting Confusion in Online Conversational Tasks. ACII (Workshops and Demos) 2021: 1-5 - [c32]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 - [c31]Diptanu Sarkar, Marcos Zampieri, Tharindu Ranasinghe
, Alexander G. Ororbia II:
fBERT: A Neural Transformer for Identifying Offensive Content. EMNLP (Findings) 2021: 1792-1798 - [c30]AbdElRahman ElSaid, Joshua Karns, Zimeng Lyu, Alexander G. Ororbia II, Travis Desell:
Continuous Ant-Based Neural Topology Search. EvoApplications 2021: 291-306 - [c29]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 - [c28]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 - [c27]Tharindu Ranasinghe
, Diptanu Sarkar, Marcos Zampieri, Alexander G. Ororbia II:
WLV-RIT at SemEval-2021 Task 5: A Neural Transformer Framework for Detecting Toxic Spans. SemEval@ACL/IJCNLP 2021: 833-840 - 2020
- [c26]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 - [c25]Travis Desell, AbdElRahman ElSaid
, Alexander G. Ororbia II:
An Empirical Exploration of Deep Recurrent Connections Using Neuro-Evolution. EvoApplications 2020: 546-561 - [c24]AbdElRahman ElSaid, Joshua Karnas, Zimeng Lyu, Daniel E. Krutz, Alexander G. Ororbia II, Travis Desell:
Neuro-Evolutionary Transfer Learning Through Structural Adaptation. EvoApplications 2020: 610-625 - [c23]AbdElRahman ElSaid, Alexander G. Ororbia II, Travis J. Desell:
Ant-based Neural Topology Search (ANTS) for Optimizing Recurrent Networks. EvoApplications 2020: 626-641 - [c22]AbdElRahman ElSaid
, Joshua Karns, Zimeng Lyu, Daniel E. Krutz, Alexander Ororbia, Travis Desell:
Improving neuroevolutionary transfer learning of deep recurrent neural networks through network-aware adaptation. GECCO 2020: 315-323 - 2019
- [c21]Alexander G. Ororbia II, Ankur Arjun Mali:
Biologically Motivated Algorithms for Propagating Local Target Representations. AAAI 2019: 4651-4658 - [c20]Alexander Ororbia, Ankur Arjun Mali, Matthew A. Kelly, David Reitter:
Like a Baby: Visually Situated Neural Language Acquisition. ACL (1) 2019: 5127-5136 - [c19]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 - [c18]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 - [c17]Alexander Ororbia, AbdElRahman ElSaid, Travis Desell:
Investigating recurrent neural network memory structures using neuro-evolution. GECCO 2019: 446-455 - 2018
- [c16]Shikun Liu, C. Lee Giles
, Alexander Ororbia:
Learning a Hierarchical Latent-Variable Model of 3D Shapes. 3DV 2018: 542-551 - [c15]Wenbo Guo
, Qinglong Wang, Kaixuan Zhang, Alexander G. Ororbia II, Sui Huang, Xue Liu, C. Lee Giles
, Lin Lin
, Xinyu Xing:
Defending Against Adversarial Samples Without Security through Obscurity. ICDM 2018: 137-146 - 2017
- [c14]Dafang He, Xiao Yang, Chen Liang, Zihan Zhou, Alexander G. Ororbia II, Daniel Kifer, C. Lee Giles
:
Multi-scale FCN with Cascaded Instance Aware Segmentation for Arbitrary Oriented Word Spotting in the Wild. CVPR 2017: 474-483 - [c13]Iulian Vlad Serban, Alexander Ororbia, Joelle Pineau, Aaron C. Courville:
Piecewise Latent Variables for Neural Variational Text Processing. SPNLP@EMNLP 2017: 52-62 - [c12]Iulian Vlad Serban, Alexander G. Ororbia II, Joelle Pineau, Aaron C. Courville:
Piecewise Latent Variables for Neural Variational Text Processing. EMNLP 2017: 422-432 - [c11]Bill McDowell, Nathanael Chambers, Alexander G. Ororbia II, David Reitter:
Event Ordering with a Generalized Model for Sieve Prediction Ranking. IJCNLP(1) 2017: 843-853 - [c10]Xiao Yang, Dafang He, Wenyi Huang, Alexander Ororbia, Zihan Zhou, Daniel Kifer, C. Lee Giles
:
Smart Library: Identifying Books on Library Shelves Using Supervised Deep Learning for Scene Text Reading. JCDL 2017: 245-248 - [c9]Qinglong Wang, Wenbo Guo
, Kaixuan Zhang, Alexander G. Ororbia II, Xinyu Xing, Xue Liu, C. Lee Giles
:
Adversary Resistant Deep Neural Networks with an Application to Malware Detection. KDD 2017: 1145-1153 - 2016
- [c8]Shuting Wang, Alexander Ororbia, Zhaohui Wu, Kyle Williams, Chen Liang, Bart Pursel, C. Lee Giles
:
Using Prerequisites to Extract Concept Maps fromTextbooks. CIKM 2016: 317-326 - 2015
- [c7]Alexander G. Ororbia II, C. Lee Giles
, David Reitter:
Learning a Deep Hybrid Model for Semi-Supervised Text Classification. EMNLP 2015: 471-481 - [c6]Alexander G. Ororbia II, David Reitter, Jian Wu, C. Lee Giles:
Online Learning of Deep Hybrid Architectures for Semi-supervised Categorization. ECML/PKDD (1) 2015: 516-532 - [c5]Alexander G. Ororbia II, Yang Xu, Vito D'Orazio, David Reitter:
Error-Correction and Aggregation in Crowd-Sourcing of Geopolitical Incident Information. SBP 2015: 381-387 - [c4]Alexander G. Ororbia II, Jian Wu, Madian Khabsa, Kyle Williams, Clyde Lee Giles
:
Big Scholarly Data in CiteSeerX: Information Extraction from the Web. WWW (Companion Volume) 2015: 597-602 - 2014
- [c3]Jian Wu, Kyle Mark Williams, Hung-Hsuan Chen, Madian Khabsa, Cornelia Caragea, Alexander Ororbia, Douglas Jordan, C. Lee Giles
:
CiteSeerX: AI in a Digital Library Search Engine. AAAI 2014: 2930-2937 - [c2]Jian Wu, Alexander Ororbia, Kyle Williams, Madian Khabsa, Zhaohui Wu, C. Lee Giles
:
Utility-Based Control Feedback in a Digital Library Search Engine: Cases in CiteSeerX. Feedback Computing 2014 - [c1]Zhaohui Wu, Jian Wu, Madian Khabsa, Kyle Williams, Hung-Hsuan Chen, Wenyi Huang, Suppawong Tuarob
, Sagnik Ray Choudhury, Alexander Ororbia, Prasenjit Mitra, C. Lee Giles
:
Towards building a scholarly big data platform: Challenges, lessons and opportunities. JCDL 2014: 117-126
Parts in Books or Collections
- 2020
- [p1]Travis Desell, AbdElRahman ElSaid, Alexander G. Ororbia II:
Investigating Deep Recurrent Connections and Recurrent Memory Cells Using Neuro-Evolution. Deep Neural Evolution 2020: 253-291
Informal and Other Publications
- 2024
- [i62]Zimeng Lyu, Alexander Ororbia, Rui Li, Travis Desell:
Minimally Supervised Learning using Topological Projections in Self-Organizing Maps. CoRR abs/2401.06923 (2024) - [i61]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) - [i60]Viet Dung Nguyen, Reynold Bailey, Gabriel J. Diaz, Chengyi Ma, Alexander Fix, Alexander Ororbia:
Deep Domain Adaptation: A Sim2Real Neural Approach for Improving Eye-Tracking Systems. CoRR abs/2403.15947 (2024) - [i59]Alexander Ororbia, Ankur Arjun Mali, Adam Kohan, Beren Millidge, Tommaso Salvatori:
A Review of Neuroscience-Inspired Machine Learning. CoRR abs/2403.18929 (2024) - 2023
- [i58]Alexander Ororbia, Ankur Arjun Mali:
The Predictive Forward-Forward Algorithm. CoRR abs/2301.01452 (2023) - [i57]Zimeng Lyu, Alexander Ororbia, Travis Desell:
Online Evolutionary Neural Architecture Search for Multivariate Non-Stationary Time Series Forecasting. CoRR abs/2302.10347 (2023) - [i56]Hong Yang, William Gebhardt, Alexander G. Ororbia II, Travis Desell:
Predicted Embedding Power Regression for Large-Scale Out-of-Distribution Detection. CoRR abs/2303.04115 (2023) - [i55]Alexander Ororbia:
Learning Spiking Neural Systems with the Event-Driven Forward-Forward Process. CoRR abs/2303.18187 (2023) - [i54]AbdElRahman ElSaid, Karl Ricanek, Zeming Lyu, Alexander Ororbia, Travis Desell:
Backpropagation-Free 4D Continuous Ant-Based Neural Topology Search. CoRR abs/2305.06715 (2023) - [i53]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) - [i52]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) - [i51]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) - [i50]Alexander Ororbia, Mary Alexandria Kelly:
A Neuro-Mimetic Realization of the Common Model of Cognition via Hebbian Learning and Free Energy Minimization. CoRR abs/2310.15177 (2023) - [i49]Alexander G. Ororbia II:
Brain-Inspired Machine Intelligence: A Survey of Neurobiologically-Plausible Credit Assignment. CoRR abs/2312.09257 (2023) - 2022
- [i48]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) - [i47]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) - [i46]Alexander Ororbia, Matthew Alex Kelly:
CogNGen: Constructing the Kernel of a Hyperdimensional Predictive Processing Cognitive Architecture. CoRR abs/2204.00619 (2022) - [i45]Timothy Zee, Alexander G. Ororbia II, Ankur Arjun Mali, Ifeoma Nwogu
:
A Robust Backpropagation-Free Framework for Images. CoRR abs/2206.01820 (2022) - [i44]Alexander Ororbia, Ankur Arjun Mali:
Active Predicting Coding: Brain-Inspired Reinforcement Learning for Sparse Reward Robotic Control Problems. CoRR abs/2209.09174 (2022) - [i43]Zhizhuo Yang, Gabriel J. Diaz, Brett R. Fajen, Reynold Bailey, Alexander Ororbia:
A Neural Active Inference Model of Perceptual-Motor Learning. CoRR abs/2211.10419 (2022) - [i42]Alexander Ororbia, Ankur Arjun Mali:
Convolutional Neural Generative Coding: Scaling Predictive Coding to Natural Images. CoRR abs/2211.12047 (2022) - 2021
- [i41]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) - [i40]Tharindu Ranasinghe, Diptanu Sarkar, Marcos Zampieri, Alexander G. Ororbia II:
WLV-RIT at SemEval-2021 Task 5: A Neural Transformer Framework for Detecting Toxic Spans. CoRR abs/2104.04630 (2021) - [i39]Alexander Ororbia, Matthew A. Kelly
:
Towards a Predictive Processing Implementation of the Common Model of Cognition. CoRR abs/2105.07308 (2021) - [i38]Tharindu Cyril Weerasooriya, Alexander G. Ororbia II, Christopher M. Homan:
Improving Label Quality by Jointly Modeling Items and Annotators. CoRR abs/2106.10600 (2021) - [i37]Alexander G. Ororbia II:
Continual Competitive Memory: A Neural System for Online Task-Free Lifelong Learning. CoRR abs/2106.13300 (2021) - [i36]Alexander Ororbia, Ankur Arjun Mali:
Backprop-Free Reinforcement Learning with Active Neural Generative Coding. CoRR abs/2107.07046 (2021) - [i35]Diptanu Sarkar, Marcos Zampieri, Tharindu Ranasinghe, Alexander G. Ororbia II:
FBERT: A Neural Transformer for Identifying Offensive Content. CoRR abs/2109.05074 (2021) - [i34]Hitesh Vaidya, Travis Desell, Alexander Ororbia:
Reducing Catastrophic Forgetting in Self Organizing Maps with Internally-Induced Generative Replay. CoRR abs/2112.04728 (2021) - 2020
- [i33]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) - [i32]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) - [i31]AbdElRahman ElSaid, Joshua Karns, Alexander G. Ororbia II, Daniel E. Krutz, Zimeng Lyu, Travis Desell:
Neuroevolutionary Transfer Learning of Deep Recurrent Neural Networks through Network-Aware Adaptation. CoRR abs/2006.02655 (2020) - [i30]AbdElRahman ElSaid, Joshua Karns, Zimeng Lyu, Alexander Ororbia, Travis Desell:
Continuous Ant-Based Neural Topology Search. CoRR abs/2011.10831 (2020) - [i29]Alexander Ororbia, Daniel Kifer:
The Neural Coding Framework for Learning Generative Models. CoRR abs/2012.03405 (2020) - 2019
- [i28]Alexander Ororbia, Ahmed Ahmed Elsaid, Travis Desell:
Investigating Recurrent Neural Network Memory Structures using Neuro-Evolution. CoRR abs/1902.02390 (2019) - [i27]Michael J. Mior, Alexander G. Ororbia II:
Column2Vec: Structural Understanding via Distributed Representations of Database Schemas. CoRR abs/1903.08621 (2019) - [i26]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) - [i25]Sujit Pramod Khanna, Alexander G. Ororbia II:
A Hybrid Algorithm for Metaheuristic Optimization. CoRR abs/1906.02010 (2019) - [i24]Alexander Ororbia:
Spiking Neural Predictive Coding for Continual Learning from Data Streams. CoRR abs/1908.08655 (2019) - [i23]Ankur Arjun Mali, Alexander Ororbia, C. Lee Giles:
The Neural State Pushdown Automata. CoRR abs/1909.05233 (2019) - [i22]Travis J. Desell, AbdElRahman ElSaid, Alexander Ororbia:
An Empirical Exploration of Deep Recurrent Connections and Memory Cells Using Neuro-Evolution. CoRR abs/1909.09502 (2019) - [i21]AbdElRahman ElSaid, Alexander G. Ororbia II, Travis J. Desell:
The Ant Swarm Neuro-Evolution Procedure for Optimizing Recurrent Networks. CoRR abs/1909.11849 (2019) - [i20]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
- [i19]Qinglong Wang, Kaixuan Zhang, Alexander G. Ororbia II, Xinyu Xing, Xue Liu, C. Lee Giles:
A Comparison of Rule Extraction for Different Recurrent Neural Network Models and Grammatical Complexity. CoRR abs/1801.05420 (2018) - [i18]Alexander G. Ororbia II, Ankur Arjun Mali, Daniel Kifer, C. Lee Giles:
Conducting Credit Assignment by Aligning Local Representations. CoRR abs/1803.01834 (2018) - [i17]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) - [i16]Alexander G. Ororbia II, Ankur Arjun Mali, Matthew A. Kelly, David Reitter:
Visually Grounded, Situated Learning in Neural Models. CoRR abs/1805.11546 (2018) - [i15]Alexander G. Ororbia II, Ankur Arjun Mali:
Biologically Motivated Algorithms for Propagating Local Target Representations. CoRR abs/1805.11703 (2018) - [i14]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) - [i13]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) - 2017
- [i12]Alexander G. Ororbia II, Tomás Mikolov, David Reitter:
Learning Simpler Language Models with the Delta Recurrent Neural Network Framework. CoRR abs/1703.08864 (2017) - [i11]Shikun Liu, Alexander G. Ororbia II, C. Lee Giles:
Learning a Hierarchical Latent-Variable Model of Voxelized 3D Shapes. CoRR abs/1705.05994 (2017) - [i10]Qinglong Wang, Kaixuan Zhang, Alexander G. Ororbia II, Xinyu Xing, Xue Liu, C. Lee Giles:
An Empirical Evaluation of Recurrent Neural Network Rule Extraction. CoRR abs/1709.10380 (2017) - [i9]Alexander G. Ororbia II, Patrick Haffner, David Reitter, C. Lee Giles:
Learning to Adapt by Minimizing Discrepancy. CoRR abs/1711.11542 (2017) - 2016
- [i8]Alexander G. Ororbia II, C. Lee Giles, Daniel Kifer:
Unifying Adversarial Training Algorithms with Flexible Deep Data Gradient Regularization. CoRR abs/1601.07213 (2016) - [i7]Alexander G. Ororbia II, Fridolin Linder, Joshua Snoke:
Privacy Protection for Natural Language: Neural Generative Models for Synthetic Text Data. CoRR abs/1606.01151 (2016) - [i6]Qinglong Wang, Wenbo Guo, Alexander G. Ororbia II, Xinyu Xing, Lin Lin, C. Lee Giles, Xue Liu, Peng Liu, Gang Xiong:
Using Non-invertible Data Transformations to Build Adversary-Resistant Deep Neural Networks. CoRR abs/1610.01934 (2016) - [i5]Xiao Yang, Dafang He, Wenyi Huang, Zihan Zhou, Alexander Ororbia, Dan Kifer, C. Lee Giles:
Smart Library: Identifying Books in a Library using Richly Supervised Deep Scene Text Reading. CoRR abs/1611.07385 (2016) - [i4]Iulian Vlad Serban, Alexander G. Ororbia II, Joelle Pineau, Aaron C. Courville:
Multi-modal Variational Encoder-Decoders. CoRR abs/1612.00377 (2016) - [i3]Qinglong Wang, Wenbo Guo, Kaixuan Zhang, Alexander G. Ororbia II, Xinyu Xing, C. Lee Giles, Xue Liu:
Learning Adversary-Resistant Deep Neural Networks. CoRR abs/1612.01401 (2016) - 2015
- [i2]Hung-Hsuan Chen, Alexander G. Ororbia II, C. Lee Giles:
ExpertSeer: a Keyphrase Based Expert Recommender for Digital Libraries. CoRR abs/1511.02058 (2015) - [i1]Alexander G. Ororbia II, C. Lee Giles, David Reitter:
Online Semi-Supervised Learning with Deep Hybrid Boltzmann Machines and Denoising Autoencoders. CoRR abs/1511.06964 (2015)
Coauthor Index
aka: Travis Desell
aka: AbdElRahman ElSaid
aka: Clyde Lee Giles
aka: Dan Kifer
![](https://dblp.uni-trier.de/img/cog.dark.24x24.png)
manage site settings
To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.
Unpaywalled article links
Add open access links from to the list of external document links (if available).
Privacy notice: By enabling the option above, your browser will contact the API of unpaywall.org to load hyperlinks to open access articles. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Unpaywall privacy policy.
Archived links via Wayback Machine
For web page which are no longer available, try to retrieve content from the of the Internet Archive (if available).
Privacy notice: By enabling the option above, your browser will contact the API of archive.org to check for archived content of web pages that are no longer available. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Internet Archive privacy policy.
Reference lists
Add a list of references from ,
, and
to record detail pages.
load references from crossref.org and opencitations.net
Privacy notice: By enabling the option above, your browser will contact the APIs of crossref.org, opencitations.net, and semanticscholar.org to load article reference information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Crossref privacy policy and the OpenCitations privacy policy, as well as the AI2 Privacy Policy covering Semantic Scholar.
Citation data
Add a list of citing articles from and
to record detail pages.
load citations from opencitations.net
Privacy notice: By enabling the option above, your browser will contact the API of opencitations.net and semanticscholar.org to load citation information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the OpenCitations privacy policy as well as the AI2 Privacy Policy covering Semantic Scholar.
OpenAlex data
Load additional information about publications from .
Privacy notice: By enabling the option above, your browser will contact the API of openalex.org to load additional information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the information given by OpenAlex.
last updated on 2024-08-23 19:19 CEST by the dblp team
all metadata released as open data under CC0 1.0 license
see also: Terms of Use | Privacy Policy | Imprint