Michael Witbrock

152 papers A* 17A 6B 8C 2Misc 8Journal 71Unranked 32

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Recurrence over Video Frames (RoVF) for Animal Re-identification. Int. J. Comput. Vis. Mitchell Rogers, Kobe Knowles, Gaël Gendron, Shahrokh Heidari, Isla Duporge, David Arturo Soriano Valdez, Mihailo Azhar, Padriac O'Leary, Simon Eyre, Michael Witbrock, Patrice Delmas
2026	J	`jnl`	Separating Diagnosis from Control: Auditable Policy Adaptation in Agent-Based Simulations with LLM-Based Diagnostics. CoRR Shaoxin Zhong, Yuchen Su, Michael Witbrock
2026	J	`jnl`	Words at Play: Benchmarking Audio Pun Understanding in Large Audio-Language Models. CoRR Yuchen Su, Shaoxin Zhong, Yonghua Zhu, Ruofan Wang, Zijian Huang, Qiqi Wang, Na Zhao, Diana Benavides-Prado, Michael Witbrock
2025	J	`jnl`	A Community-driven vision for a new Knowledge Resource for AI. CoRR Vinay K. Chaudhri, Chaitan Baru, Brandon Bennett, Mehul Bhatt, Darion Cassel, Anthony G. Cohn, Rina Dechter, Esra Erdem, David A. Ferrucci, Kenneth D. Forbus, Gregory Gelfond, Michael R. Genesereth, Andrew S. Gordon, Benjamin N. Grosof, Gopal Gupta, Jim Hendler, Sharat Israni, Tyler R. Josephson, Patrick C. Kyllonen, Yuliya Lierler, Vladimir Lifschitz, Clifton James McFate, Hande K. McGinty, Leora Morgenstern, Alessandro Oltramari, Praveen K. Paritosh, Dan Roth, Blake Shepard, Cogan Shimizu, Denny Vrandecic, Mark Whiting, Michael Witbrock
2025	J	`jnl`	A Survey of Pun Generation: Datasets, Evaluations and Methodologies. CoRR Yuchen Su, Yonghua Zhu, Ruofan Wang, Zijian Huang, Diana Benavides-Prado, Michael Witbrock
2025	J	`jnl`	A community-driven vision for a new knowledge resource for AI. AI Mag. Vinay K. Chaudhri, Chaitan Baru, Brandon Bennett, Mehul Bhatt, Darion Cassel, Anthony G. Cohn, Rina Dechter, Esra Erdem, David A. Ferrucci, Kenneth D. Forbus, Gregory Gelfond, Michael R. Genesereth, Andrew S. Gordon, Benjamin N. Grosof, Gopal Gupta, Jim Hendler, Sharat Israni, Tyler R. Josephson, Patrick C. Kyllonen, Yuliya Lierler, Vladimir Lifschitz, Clifton James McFate, Hande K. McGinty, Leora Morgenstern, Alessandro Oltramari, Praveen K. Paritosh, Dan Roth, Blake Shepard, Cogan Shimizu, Denny Vrandecic, Mark Whiting, Michael Witbrock
2025	B	`conf`	Analysis of Long-Term Player Action Prediction Performance Based on Causal Modelling in Rugby League. ACIVS Jiaxuan Wang, Ruigeng Wang, Shahrokh Heidari, David Arturo Soriano Valdez, Mitchell Rogers, Gaël Gendron, Yani He, Nicolas Mir, Yalu Zou, Riki Mitchel, Alfonso Gastelum Strozzi, Marcel Noronha, Michael Witbrock, Patrice Delmas
2025	J	`jnl`	Causal Cartographer: From Mapping to Reasoning Over Counterfactual Worlds. CoRR Gaël Gendron, Joze M. Rozanec, Michael Witbrock, Gillian Dobbie
2025	J	`jnl`	Don't forget the upside of neurotechnology. AI Soc. Michael Witbrock, Allan McCay
2025	J	`jnl`	Evaluating The Impact of Stimulus Quality in Investigations of LLM Language Performance. CoRR Timothy Pistotti, Jason Brown, Michael Witbrock
2025	J	`jnl`	Exploring Gaps in the APS: Direct Minimal Pair Analysis in LLM Syntactic Assessments. CoRR Timothy Pistotti, Jason Brown, Michael Witbrock
2025	A*	`conf`	Exploring Iterative Enhancement for Improving Learnersourced Multiple-Choice Question Explanations with Large Language Models. AAAI Qiming Bao, Juho Leinonen, Alex Yuxuan Peng, Wanjun Zhong, Gaël Gendron, Timothy Pistotti, Alice Huang, Paul Denny, Michael Witbrock, Jiamou Liu
2025	J	`jnl`	Guest Editorial: Special issue on "Neuro-Symbolic Intelligence: large Language Model enabled Knowledge Engineering". World Wide Web (WWW) Haofen Wang, Arijit Khan, Jun Liu, Michael Witbrock
2025	C	`ed.`	Intelligence Science V - 6th IFIP TC 12 International Conference, ICIS 2024, Nanjing, China, October 25-28, 2024, Proceedings ICIS Zhongzhi Shi, Michael Witbrock, Qi Tian
2025	J	`jnl`	Meta-Inverse Reinforcement Learning for Mean Field Games via Probabilistic Context Variables. CoRR Yang Chen, Xiao Lin, Bo Yan, Libo Zhang, Jiamou Liu, Neset Özkan Tan, Michael Witbrock
2025	J	`jnl`	Operating condition invariant representation learning for machine prognostics. Knowl. Based Syst. Minjung Kim, Yusuke Hioka, Michael Witbrock
2025	J	`jnl`	Psychology-Driven Enhancement of Humour Translation. CoRR Yuchen Su, Yonghua Zhu, Yang Chen, Diana Benavides-Prado, Michael Witbrock
2024	J	`jnl`	A graph transformer defence against graph perturbation by a flexible-pass filter. Inf. Fusion Yonghua Zhu, Jincheng Huang, Yang Chen, Robert Amor, Michael Witbrock
2024	—	`conf`	Abstract Meaning Representation-Based Logic-Driven Data Augmentation for Logical Reasoning. ACL (Findings) Qiming Bao, Alex Yuxuan Peng, Zhenyun Deng, Wanjun Zhong, Gaël Gendron, Timothy Pistotti, Neset Tan, Nathan Young, Yang Chen, Yonghua Zhu, Paul Denny, Michael Witbrock, Jiamou Liu
2024	J	`jnl`	Anisotropic span embeddings and the negative impact of higher-order inference for coreference resolution: An empirical analysis. Nat. Lang. Eng. Feng Hou, Ruili Wang, See-Kiong Ng, Fangyi Zhu, Michael Witbrock, Steven F. Cahan, Lily Chen, Xiaoyun Jia
2024	—	`conf`	Annotator Disagreement-Based Analysis for Developing Bias Benchmark Datasets in Resource-Restricted Settings. ICONIP (10) Vithya Yogarajan, Paul Rayson, Gillian Dobbie, Aaron Keesing, Te Taka Keegan, Diana Benavides-Prado, Michael Witbrock
2024	—	`conf`	Assessing and Enhancing the Robustness of Large Language Models with Task Structure Variations for Logical Reasoning. ICONIP (10) Qiming Bao, Gaël Gendron, Alex Yuxuan Peng, Wanjun Zhong, Neset Tan, Yang Chen, Michael Witbrock, Jiamou Liu
2024	A	`conf`	Behaviour Modelling of Social Animals via Causal Structure Discovery and Graph Neural Networks. AAMAS Gaël Gendron, Yang Chen, Mitchell Rogers, Yiping Liu, Mihailo Azhar, Shahrokh Heidari, David Arturo Soriano Valdez, Kobe Knowles, Padriac O'Leary, Simon Eyre, Michael Witbrock, Gillian Dobbie, Jiamou Liu, Patrice Delmas
2024	J	`jnl`	Can Large Language Models Learn Independent Causal Mechanisms? CoRR Gaël Gendron, Bao Trung Nguyen, Alex Yuxuan Peng, Michael Witbrock, Gillian Dobbie
2024	Misc	`conf`	Causal Behaviour Modelling for Player Action Prediction in Rugby League Using Graph Neural Networks. IVCNZ Jiaxuan Wang, Ruigeng Wang, Gaël Gendron, Shahrokh Heidari, David Arturo Soriano Valdez, Gibrán Alfonso Zazueta Cruz, Stephen Hallett, Mitchell Rogers, Alexander Woodward, Alfonso Gastelum Strozzi, Riki Mitchel, Mengjie Zhang, Michael Witbrock, Patrice Delmas
2024	J	`jnl`	Counterfactual Causal Inference in Natural Language with Large Language Models. CoRR Gaël Gendron, Joze M. Rozanec, Michael Witbrock, Gillian Dobbie
2024	J	`jnl`	Efficient size-prescribed k-core search. CoRR Yiping Liu, Bo Yan, Bo Zhao, Hongyi Su, Yang Chen, Michael Witbrock
2024	B	`conf`	Enhancing Data Augmentation with Knowledge-enriched Data Generation via Dynamic Prompt-tuning Method. IJCNN Qianqian Qi, Qiming Bao, Alex Yuxuan Peng, Jiamou Liu, Michael Witbrock
2024	B	`conf`	Epic-Level Text Generation with LLM through Auto-prompted Reinforcement Learning. IJCNN Qianqian Qi, Lin Ni, Zhongsheng Wang, Libo Zhang, Jiamou Liu, Michael Witbrock
2024	—	`conf`	Faithful Reasoning over Scientific Claims. AAAI Spring Symposia Neset Özkan Tan, Niket Tandon, David Wadden, Oyvind Tafjord, Mark Gahegan, Michael Witbrock
2024	J	`jnl`	Intermediate representations to improve the semantic parsing of building regulations. Adv. Eng. Informatics Stefan Fuchs, Johannes Dimyadi, Michael Witbrock, Robert Amor
2024	A*	`conf`	Large Language Models Are Not Strong Abstract Reasoners. IJCAI Gaël Gendron, Qiming Bao, Michael Witbrock, Gillian Dobbie
2024	A*	`conf`	Meta-Inverse Reinforcement Learning for Mean Field Games via Probabilistic Context Variables. AAAI Yang Chen, Xiao Lin, Bo Yan, Libo Zhang, Jiamou Liu, Neset Özkan Tan, Michael Witbrock
2024	J	`jnl`	Neural Fourier Modelling: A Highly Compact Approach to Time-Series Analysis. CoRR Minjung Kim, Yusuke Hioka, Michael Witbrock
2024	J	`jnl`	Recurrence over Video Frames (RoVF) for the Re-identification of Meerkats. CoRR Mitchell Rogers, Kobe Knowles, Gaël Gendron, Shahrokh Heidari, David Arturo Soriano Valdez, Mihailo Azhar, Padriac O'Leary, Simon Eyre, Michael Witbrock, Patrice Delmas
2024	J	`jnl`	Robust Domain Generalisation with Causal Invariant Bayesian Neural Networks. CoRR Gaël Gendron, Michael Witbrock, Gillian Dobbie
2024	A*	`conf`	Robust Node Classification on Graph Data with Graph and Label Noise. AAAI Yonghua Zhu, Lei Feng, Zhenyun Deng, Yang Chen, Robert Amor, Michael Witbrock
2024	J	`jnl`	Transformers As Approximations of Solomonoff Induction. CoRR Nathan Young, Michael Witbrock
2024	—	`conf`	Transformers as Approximations of Solomonoff Induction. ICONIP (1) Nathan Young, Michael Witbrock
2024	J	`jnl`	Using Large Language Models for the Interpretation of Building Regulations. CoRR Stefan Fuchs, Michael Witbrock, Johannes Dimyadi, Robert Amor
2023	—	`conf`	A Dynamic Prompt-tuning Method for Data Augmentation with Associated Knowledge. Tiny Papers @ ICLR Qianqian Qi, Qiming Bao, Alex Yuxuan Peng, Jiamou Liu, Michael Witbrock
2023	J	`jnl`	A Survey of Methods, Challenges and Perspectives in Causality. CoRR Gaël Gendron, Michael Witbrock, Gillian Dobbie
2023	J	`jnl`	A Systematic Evaluation of Large Language Models on Out-of-Distribution Logical Reasoning Tasks. CoRR Qiming Bao, Gaël Gendron, Alex Yuxuan Peng, Wanjun Zhong, Neset Tan, Yang Chen, Michael Witbrock, Jiamou Liu
2023	A	`conf`	Adversarial Inverse Reinforcement Learning for Mean Field Games. AAMAS Yang Chen, Libo Zhang, Jiamou Liu, Michael Witbrock
2023	J	`jnl`	Answering Unseen Questions With Smaller Language Models Using Rationale Generation and Dense Retrieval. CoRR Tim Hartill, Diana Benavides-Prado, Michael Witbrock, Patricia J. Riddle
2023	J	`jnl`	Behaviour Modelling of Social Animals via Causal Structure Discovery and Graph Neural Networks. CoRR Gaël Gendron, Yang Chen, Mitchell Rogers, Yiping Liu, Mihailo Azhar, Shahrokh Heidari, David Arturo Soriano Valdez, Kobe Knowles, Padriac O'Leary, Simon Eyre, Michael Witbrock, Gillian Dobbie, Jiamou Liu, Patrice Delmas
2023	Misc	`conf`	Boosting QA Performance Through SA-Net and AA-Net with the Read+Verify Framework. AusDM Liang Tang, Qianqian Qi, Qinghua Shang, Yuguang Cai, Jiamou Liu, Michael Witbrock, Kaokao Lv
2023	A*	`conf`	Chain of Propagation Prompting for Node Classification. ACM Multimedia Yonghua Zhu, Zhenyun Deng, Yang Chen, Robert Amor, Michael Witbrock
2023	J	`jnl`	Contrastive Learning with Logic-driven Data Augmentation for Logical Reasoning over Text. CoRR Qiming Bao, Alex Yuxuan Peng, Zhenyun Deng, Wanjun Zhong, Neset Tan, Nathan Young, Yang Chen, Yonghua Zhu, Michael Witbrock, Jiamou Liu
2023	A*	`conf`	Disentanglement of Latent Representations via Causal Interventions. IJCAI Gaël Gendron, Michael Witbrock, Gillian Dobbie
2023	J	`jnl`	Disentanglement of Latent Representations via Sparse Causal Interventions. CoRR Gaël Gendron, Michael Witbrock, Gillian Dobbie
2023	J	`jnl`	Do Smaller Language Models Answer Contextualised Questions Through Memorisation Or Generalisation? CoRR Tim Hartill, Joshua Bensemann, Michael Witbrock, Patricia J. Riddle
2023	B	`conf`	Efficient size-prescribed k-core search. ASONAM Yiping Liu, Bo Yan, Bo Zhao, Hongyi Su, Yang Chen, Michael Witbrock
2023	A*	`conf`	Emotion Recognition ToolKit (ERTK): Standardising Tools For Emotion Recognition Research. ACM Multimedia Aaron Keesing, Yun Sing Koh, Vithya Yogarajan, Michael Witbrock
2023	J	`jnl`	Exploiting anonymous entity mentions for named entity linking. Knowl. Inf. Syst. Feng Hou, Ruili Wang, See-Kiong Ng, Michael Witbrock, Fangyi Zhu, Xiaoyun Jia
2023	J	`jnl`	Exploring Self-Reinforcement for Improving Learnersourced Multiple-Choice Question Explanations with Large Language Models. CoRR Qiming Bao, Juho Leinonen, Alex Yuxuan Peng, Wanjun Zhong, Tim Pistotti, Alice Huang, Paul Denny, Michael Witbrock, Jiamou Liu
2023	J	`jnl`	Input-length-shortening and text generation via attention values. CoRR Neset Özkan Tan, Alex Yuxuan Peng, Joshua Bensemann, Qiming Bao, Tim Hartill, Mark Gahegan, Michael Witbrock
2023	J	`jnl`	Large Language Models Are Not Abstract Reasoners. CoRR Gaël Gendron, Qiming Bao, Michael Witbrock, Gillian Dobbie
2023	A	`conf`	Learning Density-Based Correlated Equilibria for Markov Games. AAMAS Libo Zhang, Yang Chen, Toru Takisaka, Bakh Khoussainov, Michael Witbrock, Jiamou Liu
2023	J	`jnl`	Learning Density-Based Correlated Equilibria for Markov Games. CoRR Libo Zhang, Yang Chen, Toru Takisaka, Bakh Khoussainov, Michael Witbrock, Jiamou Liu
2023	J	`jnl`	Learning to Guide a Saturation-Based Theorem Prover. IEEE Trans. Pattern Anal. Mach. Intell. Ibrahim Abdelaziz, Maxwell Crouse, Bassem Makni, Vernon Austel, Cristina Cornelio, Shajith Ikbal, Pavan Kapanipathi, Ndivhuwo Makondo, Kavitha Srinivas, Michael Witbrock, Achille Fokoue
2023	J	`jnl`	Meerkat Behaviour Recognition Dataset. CoRR Mitchell Rogers, Gaël Gendron, David Arturo Soriano Valdez, Mihailo Azhar, Yang Chen, Shahrokh Heidari, Caleb Perelini, Padriac O'Leary, Kobe Knowles, Izak Tait, Simon Eyre, Michael Witbrock, Patrice Delmas
2023	A	`conf`	Multi2Claim: Generating Scientific Claims from Multi-Choice Questions for Scientific Fact-Checking. EACL Neset Tan, Trung Nguyen, Joshua Bensemann, Alex Yuxuan Peng, Qiming Bao, Yang Chen, Mark Gahegan, Michael Witbrock
2023	—	`conf`	Neuromodulation Gated Transformer. Tiny Papers @ ICLR Kobe Knowles, Joshua Bensemann, Diana Benavides Prado, Vithya Yogarajan, Michael Witbrock, Gillian Dobbie, Yang Chen
2023	J	`jnl`	Neuromodulation Gated Transformer. CoRR Kobe Knowles, Joshua Bensemann, Diana Benavides-Prado, Vithya Yogarajan, Michael Witbrock, Gillian Dobbie, Yang Chen
2023	J	`jnl`	Teaching Smaller Language Models To Generalise To Unseen Compositional Questions. CoRR Tim Hartill, Neset Tan, Michael Witbrock, Patricia J. Riddle
2023	J	`jnl`	Teaching Smaller Language Models To Generalise To Unseen Compositional Questions. Trans. Mach. Learn. Res. Tim Hartill, Neset Tan, Michael Witbrock, Patricia J. Riddle
2022	—	`conf`	AbductionRules: Training Transformers to Explain Unexpected Inputs. ACL (Findings) Nathan Young, Qiming Bao, Joshua Bensemann, Michael Witbrock
2022	J	`jnl`	AbductionRules: Training Transformers to Explain Unexpected Inputs. CoRR Nathan Young, Qiming Bao, Joshua Bensemann, Michael Witbrock
2022	J	`jnl`	Data and model bias in artificial intelligence for healthcare applications in New Zealand. Frontiers Comput. Sci. Vithya Yogarajan, Gillian Dobbie, Sharon Leitch, Te Taka Keegan, Joshua Bensemann, Michael Witbrock, Varsha Asrani, David Reith
2022	A*	`conf`	DeepQR: Neural-Based Quality Ratings for Learnersourced Multiple-Choice Questions. AAAI Lin Ni, Qiming Bao, Xiaoxuan Li, Qianqian Qi, Paul Denny, Jim Warren, Michael Witbrock, Jiamou Liu
2022	A*	`conf`	Interpretable AMR-Based Question Decomposition for Multi-hop Question Answering. IJCAI Zhenyun Deng, Yonghua Zhu, Yang Chen, Michael Witbrock, Patricia Riddle
2022	J	`jnl`	Interpretable AMR-Based Question Decomposition for Multi-hop Question Answering. CoRR Zhenyun Deng, Yonghua Zhu, Yang Chen, Michael Witbrock, Patricia Riddle
2022	C	`conf`	Multi-Step Deductive Reasoning Over Natural Language: An Empirical Study on Out-of-Distribution Generalisation. NeSy Qiming Bao, Alex Yuxuan Peng, Tim Hartill, Neset Tan, Zhenyun Deng, Michael Witbrock, Jiamou Liu
2022	J	`jnl`	Multi-Step Deductive Reasoning Over Natural Language: An Empirical Study on Out-of-Distribution Generalisation. CoRR Qiming Bao, Alex Yuxuan Peng, Tim Hartill, Neset Tan, Zhenyun Deng, Michael Witbrock, Jiamou Liu
2022	B	`conf`	Prompt-based Conservation Learning for Multi-hop Question Answering. COLING Zhenyun Deng, Yonghua Zhu, Yang Chen, Qianqian Qi, Michael Witbrock, Patricia Riddle
2022	J	`jnl`	Prompt-based Conservation Learning for Multi-hop Question Answering. CoRR Zhenyun Deng, Yonghua Zhu, Yang Chen, Qianqian Qi, Michael Witbrock, Patricia Riddle
2022	J	`jnl`	Rapid Connectionist Speaker Adaptation. CoRR Michael Witbrock, Patrick Haffner
2022	J	`jnl`	Relating Blindsight and AI: A Review. CoRR Joshua Bensemann, Qiming Bao, Gaël Gendron, Tim Hartill, Michael Witbrock
2022	J	`jnl`	Relating Blindsight and AI: A Review. J. Artif. Intell. Conscious. Joshua Bensemann, Qiming Bao, Gaël Gendron, Tim Hartill, Michael Witbrock
2022	—	`conf`	TaKG: A New Dataset for Paragraph-level Table-to-Text Generation Enhanced with Knowledge Graphs. AACL/IJCNLP (Findings) Qianqian Qi, Zhenyun Deng, Yonghua Zhu, Lia Jisoo Lee, Michael Witbrock, Jiamou Liu
2021	A*	`conf`	A Deep Reinforcement Learning Approach to First-Order Logic Theorem Proving. AAAI Maxwell Crouse, Ibrahim Abdelaziz, Bassem Makni, Spencer Whitehead, Cristina Cornelio, Pavan Kapanipathi, Kavitha Srinivas, Veronika Thost, Michael Witbrock, Achille Fokoue
2021	A	`conf`	Acoustic Features and Neural Representations for Categorical Emotion Recognition from Speech. Interspeech Aaron Keesing, Yun Sing Koh, Michael Witbrock
2021	J	`jnl`	DeepQR: Neural-based Quality Ratings for Learnersourced Multiple-Choice Questions. CoRR Lin Ni, Qiming Bao, Xiaoxuan Li, Qianqian Qi, Paul Denny, Jim Warren, Michael Witbrock, Jiamou Liu
2021	J	`jnl`	Learning to Guide a Saturation-Based Theorem Prover. CoRR Ibrahim Abdelaziz, Maxwell Crouse, Bassem Makni, Vernon Austil, Cristina Cornelio, Shajith Ikbal, Pavan Kapanipathi, Ndivhuwo Makondo, Kavitha Srinivas, Michael Witbrock, Achille Fokoue
2021	J	`jnl`	Semantic Construction Grammar: Bridging the NL / Logic Divide. CoRR Dave Schneider, Michael Witbrock
2020	Misc	`conf`	Convolutional and Recurrent Neural Networks for Spoken Emotion Recognition. ALTA Aaron Keesing, Ian Watson, Michael Witbrock
2019	J	`jnl`	A Deep Reinforcement Learning based Approach to Learning Transferable Proof Guidance Strategies. CoRR Maxwell Crouse, Spencer Whitehead, Ibrahim Abdelaziz, Bassem Makni, Cristina Cornelio, Pavan Kapanipathi, Edwin Pell, Kavitha Srinivas, Veronika Thost, Michael Witbrock, Achille Fokoue
2019	A*	`conf`	A Sequential Set Generation Method for Predicting Set-Valued Outputs. AAAI Tian Gao, Jie Chen, Vijil Chenthamarakshan, Michael Witbrock
2019	J	`jnl`	A Sequential Set Generation Method for Predicting Set-Valued Outputs. CoRR Tian Gao, Jie Chen, Vijil Chenthamarakshan, Michael Witbrock
2019	—	`conf`	Answering Science Exam Questions Using Query Reformulation with Background Knowledge. AKBC Ryan Musa, Xiaoyan Wang, Achille Fokoue, Nicholas Mattei, Maria Chang, Pavan Kapanipathi, Bassem Makni, Kartik Talamadupula, Michael Witbrock
2019	—	`conf`	Discrete Adversarial Attacks and Submodular Optimization with Applications to Text Classification. SysML Qi Lei, Lingfei Wu, Pin-Yu Chen, Alex Dimakis, Inderjit S. Dhillon, Michael Witbrock
2019	—	`conf`	Graph Enhanced Cross-Domain Text-to-SQL Generation. TextGraphs@EMNLP Siyu Huo, Tengfei Ma, Jie Chen, Maria Chang, Lingfei Wu, Michael Witbrock
2019	J	`jnl`	High-Fidelity Vector Space Models of Structured Data. CoRR Maxwell Crouse, Achille Fokoue, Maria Chang, Pavan Kapanipathi, Ryan Musa, Constantine Nakos, Lingfei Wu, Kenneth D. Forbus, Michael Witbrock
2019	A*	`conf`	Improving Natural Language Inference Using External Knowledge in the Science Questions Domain. AAAI Xiaoyan Wang, Pavan Kapanipathi, Ryan Musa, Mo Yu, Kartik Talamadupula, Ibrahim Abdelaziz, Maria Chang, Achille Fokoue, Bassem Makni, Nicholas Mattei, Michael Witbrock
2018	—	`conf`	A Systematic Classification of Knowledge, Reasoning, and Context within the ARC Dataset. QA@ACL Michael Boratko, Harshit Padigela, Divyendra Mikkilineni, Pritish Yuvraj, Rajarshi Das, Andrew McCallum, Maria Chang, Achille Fokoue-Nkoutche, Pavan Kapanipathi, Nicholas Mattei, Ryan Musa, Kartik Talamadupula, Michael Witbrock
2018	J	`jnl`	A Systematic Classification of Knowledge, Reasoning, and Context within the ARC Dataset. CoRR Michael Boratko, Harshit Padigela, Divyendra Mikkilineni, Pritish Yuvraj, Rajarshi Das, Andrew McCallum, Maria Chang, Achille Fokoue-Nkoutche, Pavan Kapanipathi, Nicholas Mattei, Ryan Musa, Kartik Talamadupula, Michael Witbrock
2018	J	`jnl`	An Implementation of Back-Propagation Learning on GF11, a Large SIMD Parallel Computer. CoRR Michael Witbrock, Marco Zagha
2018	—	`conf`	An Interface for Annotating Science Questions. EMNLP (Demonstration) Michael Boratko, Harshit Padigela, Divyendra Mikkilineni, Pritish Yuvraj, Rajarshi Das, Andrew McCallum, Maria Chang, Achille Fokoue, Pavan Kapanipathi, Nicholas Mattei, Ryan Musa, Kartik Talamadupula, Michael Witbrock
2018	J	`jnl`	Answering Science Exam Questions Using Query Rewriting with Background Knowledge. CoRR Ryan Musa, Xiaoyan Wang, Achille Fokoue, Nicholas Mattei, Maria Chang, Pavan Kapanipathi, Bassem Makni, Kartik Talamadupula, Michael Witbrock
2018	J	`jnl`	D2KE: From Distance to Kernel and Embedding. CoRR Lingfei Wu, Ian En-Hsu Yen, Fangli Xu, Pradeep Ravikumar, Michael Witbrock
2018	J	`jnl`	Discrete Attacks and Submodular Optimization with Applications to Text Classification. CoRR Qi Lei, Lingfei Wu, Pin-Yu Chen, Alexandros G. Dimakis, Inderjit S. Dhillon, Michael Witbrock
2018	A*	`conf`	Image Super-Resolution via Dual-State Recurrent Networks. CVPR Wei Han, Shiyu Chang, Ding Liu, Mo Yu, Michael Witbrock, Thomas S. Huang
2018	J	`jnl`	Image Super-Resolution via Dual-State Recurrent Networks. CoRR Wei Han, Shiyu Chang, Ding Liu, Mo Yu, Michael Witbrock, Thomas S. Huang
2018	J	`jnl`	Improving Natural Language Inference Using External Knowledge in the Science Questions Domain. CoRR Xiaoyan Wang, Pavan Kapanipathi, Ryan Musa, Mo Yu, Kartik Talamadupula, Ibrahim Abdelaziz, Maria Chang, Achille Fokoue, Bassem Makni, Nicholas Mattei, Michael Witbrock
2018	A	`conf`	Random Warping Series: A Random Features Method for Time-Series Embedding. AISTATS Lingfei Wu, Ian En-Hsu Yen, Jinfeng Yi, Fangli Xu, Qi Lei, Michael Witbrock
2018	J	`jnl`	Random Warping Series: A Random Features Method for Time-Series Embedding. CoRR Lingfei Wu, Ian En-Hsu Yen, Jinfeng Yi, Fangli Xu, Qi Lei, Michael Witbrock
2018	—	`conf`	Scalable Reasoning Infrastructure for Large Scale Knowledge Bases. ISWC (P&D/Industry/BlueSky) Hima P. Karanam, Sumit Neelam, Udit Sharma, Sumit Bhatia, Srikanta Bedathur, L. Venkata Subramaniam, Maria Chang, Achille Fokoue-Nkoutche, Spyros Kotoulas, Bassem Makni, Mariano Rodriguez-Muro, Ryan Musa, Michael Witbrock
2017	J	`jnl`	Curious Cat-Mobile, Context-Aware Conversational Crowdsourcing Knowledge Acquisition. ACM Trans. Inf. Syst. Luka Bradesko, Michael Witbrock, Janez Starc, Zala Herga, Marko Grobelnik, Dunja Mladenic
2017	—	`conf`	Dilated Recurrent Neural Networks. NIPS Shiyu Chang, Yang Zhang, Wei Han, Mo Yu, Xiaoxiao Guo, Wei Tan, Xiaodong Cui, Michael Witbrock, Mark A. Hasegawa-Johnson, Thomas S. Huang
2017	J	`jnl`	Dilated Recurrent Neural Networks. CoRR Shiyu Chang, Yang Zhang, Wei Han, Mo Yu, Xiaoxiao Guo, Wei Tan, Xiaodong Cui, Michael Witbrock, Mark Hasegawa-Johnson, Thomas S. Huang
2017	—	`ed.`	Joint Proceedings of the International Workshops on Hybrid Statistical Semantic Understanding and Emerging Semantics, and Semantic Statistics co-located with 16th International Semantic Web Conference, HybridSemStats@ISWC 2017, Vienna, Austria October 22nd, 2017 HybridSemStats@ISWC Sarven Capadisli, Franck Cotton, Xin Luna Dong, Ramanathan V. Guha, Armin Haller, Pascal Hitzler, Evangelos Kalampokis, Mayank Kejriwal, Freddy Lécué, D. Sivakumar, Pedro A. Szekely, Raphaël Troncy, Michael Witbrock
2017	—	`ch.`	Text Mining for the Semantic Web. Encyclopedia of Machine Learning and Data Mining Marko Grobelnik, Dunja Mladenic, Michael Witbrock
2016	J	`jnl`	Controlling Search in Very large Commonsense Knowledge Bases: A Machine Learning Approach. CoRR Abhishek Sharma, Michael Witbrock, Keith Goolsbey
2016	—	`conf`	Curious cat conversational crowd based and context aware knowledge acquisition chat bot. IEEE Conf. on Intelligent Systems Luka Bradesko, Janez Starc, Dunja Mladenic, Marko Grobelnik, Michael Witbrock
2016	—	`ed.`	Knowledge Extraction from Text, Papers from the 2016 AAAI Workshop, Phoenix, Arizona, USA, February 12, 2016. AAAI Workshop: Knowledge Extraction from Text Blaz Fortuna, Marko Grobelnik, Estevam R. Hruschka Jr., Michael Witbrock
2016	J	`jnl`	Reports of the 2016 AAAI Workshop Program. AI Mag. Stefano V. Albrecht, Bruno Bouchard, John S. Brownstein, David L. Buckeridge, Cornelia Caragea, Kevin M. Carter, Adnan Darwiche, Blaz Fortuna, Yannick Francillette, Sébastien Gaboury, C. Lee Giles, Marko Grobelnik, Estevam R. Hruschka Jr., Jeffrey O. Kephart, Parisa Kordjamshidi, Viliam Lisý, Daniele Magazzeni, João Marques-Silva, Pierre Marquis, David R. Martinez, Marek P. Michalowski, Arash Shaban-Nejad, Zeinab Noorian, Enrico Pontelli, Alex Rogers, Stephanie Rosenthal, Dan Roth, Arunesh Sinha, William W. Streilein, Sylvie Thiébaux, Tran Cao Son, Byron C. Wallace, Toby Walsh, Michael Witbrock, Jie Zhang
2015	—	`conf`	Cyc and the Big C: Reading that Produces and Uses Hypotheses about Complex Molecular Biology Mechanisms. AAAI Workshop: Scholarly Big Data Michael Witbrock, Karen Pittman, Jessica Moszkowicz, Andrew Beck, Dave Schneider, Douglas B. Lenat
2015	B	`conf`	Dense Models from Videos: Can YouTube be the Font of All Knowledge Bases? ICMR Michael Witbrock
2015	—	`conf`	Semantic Construction Grammar: Bridging the NL / Logic Divide. WWW (Companion Volume) Dave Schneider, Michael Witbrock
2014	—	`conf`	SRI-Sarnoff AURORA System at TRECVID 2014 Multimedia Event Detection and Recounting. TRECVID Hui Cheng, Jingen Liu, Ishani Chakraborty, Guang Chen, Qiguang Liu, Mohamed Elhoseiny, Gary Gan, Ajay Divakaran, Harpreet S. Sawhney, James Allan, John Foley, Mubarak Shah, Afshin Dehghan, Michael Witbrock, Jon Curtis
2013	—	`ch.`	Conversational Computation. Handbook of Human Computation Michael Witbrock, Luka Bradesko
2013	—	`ch.`	Infrastructure and Architecture for Human Computer Intelligent Collaboration. Handbook of Human Computation Michael Witbrock
2013	—	`conf`	SRI-Sarnoff AURORA System at TRECVID 2013 Multimedia Event Detection and Recounting. TRECVID Jingen Liu, Hui Cheng, Omar Javed, Qian Yu, Ishani Chakraborty, Weiyu Zhang, Ajay Divakaran, Harpreet S. Sawhney, James Allan, R. Manmatha, John Foley, Mubarak Shah, Afshin Dehghan, Michael Witbrock, Jon Curtis, Gerald Friedland
2012	—	`conf`	SRI-Sarnoff AURORA System at TRECVID 2012 Multimedia Event Detection and Recounting. TRECVID Hui Cheng, Jingen Liu, Saad Ali, Omar Javed, Qian Yu, Amir Tamrakar, Ajay Divakaran, Harpreet S. Sawhney, R. Manmatha, James Allan, Alexander G. Hauptmann, Mubarak Shah, Subhabrata Bhattacharya, Afshin Dehghan, Gerald Friedland, Benjamin Elizalde, Trevor Darrell, Michael Witbrock, Jon Curtis
2011	—	`conf`	Large knowledge collider: a service-oriented platform for large-scale semantic reasoning. WIMS Matthias Assel, Alexey Cheptsov, Georgina Gallizo, Irene Celino, Daniele Dell'Aglio, Luka Bradesko, Michael Witbrock, Emanuele Della Valle
2011	—	`conf`	Team SRI-Sarnoff's AURORA System @ TRECVID 2011. TRECVID Hui Cheng, Amir Tamrakar, Saad Ali, Qian Yu, Omar Javed, Jingen Liu, Ajay Divakaran, Harpreet S. Sawhney, Alexander G. Hauptmann, Mubarak Shah, Subhabrata Bhattacharya, Michael Witbrock, Jon Curtis, Gerald Friedland, Robert Mertens, Trevor Darrell, R. Manmatha, James Allan
2010	J	`jnl`	Harnessing Cyc to Answer Clinical Researchers' Ad Hoc Queries. AI Mag. Douglas B. Lenat, Michael Witbrock, David Baxter, Eugene Blackstone, Chris Deaton, Dave Schneider, Jerry Scott, Blake Shepard
2010	—	`ch.`	Text Mining for the Semantic Web. Encyclopedia of Machine Learning Marko Grobelnik, Dunja Mladenic, Michael Witbrock
2009	—	`ch.`	Capturing Document Semantics for Ontology Generation and Document Summarization. Semantic Knowledge Management David Baxter, Bryan Klimt, Marko Grobelnik, David Schneider, Michael Witbrock, Dunja Mladenic
2009	—	`conf`	Methods of Rule Acquisition in the TextLearner System. AAAI Spring Symposium: Learning by Reading and Learning to Read Jon Curtis, David Baxter, Peter Wagner, John Cabral, Dave Schneider, Michael Witbrock
2008	—	`conf`	Thinking Big - AI at Web Scale. Web Intelligence Michael Witbrock
2008	—	`conf`	Towards LarKC: A Platform for Web-Scale Reasoning. ICSC Dieter Fensel, Frank van Harmelen, Bo Andersson, Paul Brennan, Hamish Cunningham, Emanuele Della Valle, Florian Fischer, Zhisheng Huang, Atanas Kiryakov, Tony Kyung-il Lee, Lael Schooler, Volker Tresp, Stefan Wesner, Michael Witbrock, Ning Zhong
2007	Misc	`conf`	Autonomous Classification of Knowledge into an Ontology. FLAIRS Matthew E. Taylor, Cynthia Matuszek, Bryan Klimt, Michael Witbrock
2007	Misc	`conf`	Guiding Inference with Policy Search Reinforcement Learning. FLAIRS Matthew E. Taylor, Cynthia Matuszek, Pace Reagan Smith, Michael Witbrock
2006	—	`conf`	An Introduction to the Syntax and Content of Cyc. AAAI Spring Symposium: Formalizing and Compiling Background Knowledge and Its Applications to Knowledge Representation and Question Answering Cynthia Matuszek, John Cabral, Michael Witbrock, John DeOliveira
2006	Misc	`conf`	Automated Population of Cyc: Extracting Information about Named-entities from the Web. FLAIRS Purvesh Shah, David Schneider, Cynthia Matuszek, Robert C. Kahlert, Bjørn Aldag, David Baxter, John Cabral, Michael Witbrock, Jon Curtis
2006	—	`ch.`	Common Sense Reasoning - From Cyc to Intelligent Assistant. Ambient Intelligence in Everyday Kathy Panton, Cynthia Matuszek, Douglas B. Lenat, Dave Schneider, Michael Witbrock, Nick Siegel, Blake Shepard
2006	—	`conf`	Tracking Quantity Fluctuations Using STT. AAAI Fall Symposium: Capturing and Using Patterns for Evidence Detection Robert C. Kahlert, Benjamin Rode, David Baxter, Michael Witbrock, Kenneth D. Forbus, Larry Birnbaum, Purvesh Shah, Dave Schneider, Kathy Panton, Alan Belasco, David Crabbe
2005	A*	`conf`	A Knowledge-Based Approach to Network Security: Applying Cyc in the Domain of Network Risk Assessment. AAAI Blake Shepard, Cynthia Matuszek, C. Bruce Fraser, William Wechtenhiser, David Crabbe, Zelal Güngördü, John Jantos, Todd Hughes, Larry Lefkowitz, Michael Witbrock, Douglas B. Lenat, Erik Larson
2005	—	`conf`	Analogy, Intelligent IR, and Knowledge Integration for Intelligence Analysis. AAAI Spring Symposium: AI Technologies for Homeland Security Larry Birnbaum, Kenneth D. Forbus, Earl J. Wagner, James Baker, Michael Witbrock
2005	B	`conf`	Converting Semantic Meta-knowledge into Inductive Bias. ILP John Cabral, Robert C. Kahlert, Cynthia Matuszek, Michael Witbrock, Brett Summers
2005	—	`conf`	Knowledge Begets Knowledge: Steps towards Assisted Knowledge Acquisition in Cyc. AAAI Spring Symposium: Knowledge Collection from Volunteer Contributors Michael Witbrock, Cynthia Matuszek, Antoine Brusseau, Robert C. Kahlert, C. Bruce Fraser, Douglas B. Lenat
2005	A*	`conf`	Searching for Common Sense: Populating Cyc™ from the Web. AAAI Cynthia Matuszek, Michael Witbrock, Robert C. Kahlert, John Cabral, David Schneider, Purvesh Shah, Douglas B. Lenat
2004	—	`conf`	Automated OWL Annotation Assisted by a Large Knowledge Base. SemAnnot@ISWC Michael Witbrock, Kathy Panton, Stephen L. Reed, Dave Schneider, Bjørn Aldag, Mike Reimers, Stefano Bertolo
2004	B	`conf`	Inferring parts of speech for lexical mappings via the Cyc KB. COLING Tom O'Hara, Stefano Bertolo, Michael Witbrock, Bjørn Aldag, Jon Curtis, Kathy Panton, Dave Schneider, Nancy Salay
2004	J	`jnl`	Project Halo: Towards a Digital Aristotle. AI Mag. Noah S. Friedland, Paul G. Allen, Gavin Matthews, Michael Witbrock, David Baxter, Jon Curtis, Blake Shepard, Pierluigi Miraglia, Jürgen Angele, Steffen Staab, Eddie Mönch, Henrik Oppermann, Dirk Wenke, David J. Israel, Vinay K. Chaudhri, Bruce W. Porter, Ken Barker, James Fan, Shaw Yi Chaw, Peter Z. Yeh, Dan Tecuci, Peter Clark
2004	A*	`conf`	Towards a Quantitative, Platform-Independent Analysis of Knowledge Systems. KR Noah S. Friedland, Paul G. Allen, Michael Witbrock, Gavin Matthews, Nancy Salay, Pierluigi Miraglia, Jürgen Angele, Steffen Staab, David J. Israel, Vinay K. Chaudhri, Bruce W. Porter, Ken Barker, Peter Clark
2003	A*	`conf`	Inducing criteria for lexicalization parts of speech using the Cyc KB. IJCAI Tom O'Hara, Michael Witbrock, Bjørn Aldag, Stefano Bertolo, Nancy Salay, Jon Curtis, Kathy Panton
1999	Misc	`conf`	Improving the suitability of imperfect transcriptions for information retrieval from spoken documents. ICASSP Matthew Siegler, Michael Witbrock
1992	Misc	`conf`	Rapid connectionist speaker adaptation. ICASSP Michael Witbrock, Patrick Haffner
1990	J	`jnl`	An implementation of backpropagation learning on GF11, a large SIMD parallel computer. Parallel Comput. Michael Witbrock, Marco Zagha