Michael Witbrock

Publication Activity (10 Years)

Years Active: 1992-2024
Publications (10 Years): 75

Top Topics

Reinforcement Learning

Logical Reasoning

Top Venues

Publications

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
Behaviour Modelling of Social Animals via Causal Structure Discovery and Graph Neural Networks. AAMAS (2024)
Yonghua Zhu, Lei Feng, Zhenyun Deng, Yang Chen, Robert Amor, Michael Witbrock
Robust Node Classification on Graph Data with Graph and Label Noise. AAAI (2024)
Stefan Fuchs, Michael Witbrock, Johannes Dimyadi, Robert Amor
Using Large Language Models for the Interpretation of Building Regulations. CoRR (2024)
Yonghua Zhu, Jincheng Huang, Yang Chen, Robert Amor, Michael Witbrock
A graph transformer defence against graph perturbation by a flexible-pass filter. Inf. Fusion 107 (2024)
Yiping Liu, Bo Yan, Bo Zhao, Hongyi Su, Yang Chen, Michael Witbrock
Efficient size-prescribed k-core search. CoRR (2024)
Neset Özkan Tan, Niket Tandon, David Wadden, Oyvind Tafjord, Mark Gahegan, Michael Witbrock
Faithful Reasoning over Scientific Claims. AAAI Spring Symposia (2024)
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
Abstract Meaning Representation-Based Logic-Driven Data Augmentation for Logical Reasoning. ACL (Findings) (2024)
Mitchell Rogers, Kobe Knowles, Gaël Gendron, Shahrokh Heidari, David Arturo Soriano Valdez, Mihailo Azhar, Padriac O'Leary, Simon Eyre, Michael Witbrock, Patrice Delmas
Recurrence over Video Frames (RoVF) for the Re-identification of Meerkats. CoRR (2024)
Stefan Fuchs, Johannes Dimyadi, Michael Witbrock, Robert Amor
Intermediate representations to improve the semantic parsing of building regulations. Adv. Eng. Informatics 62 (2024)
Yang Chen, Xiao Lin, Bo Yan, Libo Zhang, Jiamou Liu, Neset Özkan Tan, Michael Witbrock
Meta-Inverse Reinforcement Learning for Mean Field Games via Probabilistic Context Variables. AAAI (2024)
Gaël Gendron, Bao Trung Nguyen, Alex Yuxuan Peng, Michael Witbrock, Gillian Dobbie
Can Large Language Models Learn Independent Causal Mechanisms? CoRR (2024)
Neset Özkan Tan, Alex Yuxuan Peng, Joshua Bensemann, Qiming Bao, Tim Hartill, Mark Gahegan, Michael Witbrock
Input-length-shortening and text generation via attention values. CoRR (2023)
Tim Hartill, Neset Tan, Michael Witbrock, Patricia J. Riddle
Teaching Smaller Language Models To Generalise To Unseen Compositional Questions. Trans. Mach. Learn. Res. 2023 (2023)
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
Meerkat Behaviour Recognition Dataset. CoRR (2023)
Qiming Bao, Gaël Gendron, Alex Yuxuan Peng, Wanjun Zhong, Neset Tan, Yang Chen, Michael Witbrock, Jiamou Liu
A Systematic Evaluation of Large Language Models on Out-of-Distribution Logical Reasoning Tasks. CoRR (2023)
Yang Chen, Libo Zhang, Jiamou Liu, Michael Witbrock
Adversarial Inverse Reinforcement Learning for Mean Field Games. AAMAS (2023)
Qiming Bao, Juho Leinonen, Alex Yuxuan Peng, Wanjun Zhong, Tim Pistotti, Alice Huang, Paul Denny, Michael Witbrock, Jiamou Liu
Exploring Self-Reinforcement for Improving Learnersourced Multiple-Choice Question Explanations with Large Language Models. CoRR (2023)
Gaël Gendron, Qiming Bao, Michael Witbrock, Gillian Dobbie
Large Language Models Are Not Abstract Reasoners. CoRR (2023)
Liang Tang, Qianqian Qi, Qinghua Shang, Yuguang Cai, Jiamou Liu, Michael Witbrock, Kaokao Lv
Boosting QA Performance Through SA-Net and AA-Net with the Read+Verify Framework. AusDM (2023)
Yiping Liu, Bo Yan, Bo Zhao, Hongyi Su, Yang Chen, Michael Witbrock
Efficient size-prescribed k-core search. ASONAM (2023)
Gaël Gendron, Michael Witbrock, Gillian Dobbie
A Survey of Methods, Challenges and Perspectives in Causality. CoRR (2023)
Gaël Gendron, Michael Witbrock, Gillian Dobbie
Disentanglement of Latent Representations via Sparse Causal Interventions. CoRR (2023)
Libo Zhang, Yang Chen, Toru Takisaka, Bakh Khoussainov, Michael Witbrock, Jiamou Liu
Learning Density-Based Correlated Equilibria for Markov Games. CoRR (2023)
Tim Hartill, Neset Tan, Michael Witbrock, Patricia J. Riddle
Teaching Smaller Language Models To Generalise To Unseen Compositional Questions. CoRR (2023)
Kobe Knowles, Joshua Bensemann, Diana Benavides-Prado, Vithya Yogarajan, Michael Witbrock, Gillian Dobbie, Yang Chen
Neuromodulation Gated Transformer. CoRR (2023)
Ibrahim Abdelaziz, Maxwell Crouse, Bassem Makni, Vernon Austel, Cristina Cornelio, Shajith Ikbal, Pavan Kapanipathi, Ndivhuwo Makondo, Kavitha Srinivas, Michael Witbrock, Achille Fokoue
Learning to Guide a Saturation-Based Theorem Prover. IEEE Trans. Pattern Anal. Mach. Intell. 45 (1) (2023)
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
Behaviour Modelling of Social Animals via Causal Structure Discovery and Graph Neural Networks. CoRR (2023)
Yonghua Zhu, Zhenyun Deng, Yang Chen, Robert Amor, Michael Witbrock
Chain of Propagation Prompting for Node Classification. ACM Multimedia (2023)
Kobe Knowles, Joshua Bensemann, Diana Benavides Prado, Vithya Yogarajan, Michael Witbrock, Gillian Dobbie, Yang Chen
Neuromodulation Gated Transformer. Tiny Papers @ ICLR (2023)
Tim Hartill, Diana Benavides-Prado, Michael Witbrock, Patricia J. Riddle
Answering Unseen Questions With Smaller Language Models Using Rationale Generation and Dense Retrieval. CoRR (2023)
Feng Hou, Ruili Wang, See-Kiong Ng, Michael Witbrock, Fangyi Zhu, Xiaoyun Jia
Exploiting anonymous entity mentions for named entity linking. Knowl. Inf. Syst. 65 (3) (2023)
Libo Zhang, Yang Chen, Toru Takisaka, Bakh Khoussainov, Michael Witbrock, Jiamou Liu
Learning Density-Based Correlated Equilibria for Markov Games. AAMAS (2023)
Tim Hartill, Joshua Bensemann, Michael Witbrock, Patricia J. Riddle
Do Smaller Language Models Answer Contextualised Questions Through Memorisation Or Generalisation? CoRR (2023)
Neset Tan, Trung Nguyen, Joshua Bensemann, Alex Yuxuan Peng, Qiming Bao, Yang Chen, Mark Gahegan, Michael Witbrock
Multi2Claim: Generating Scientific Claims from Multi-Choice Questions for Scientific Fact-Checking. EACL (2023)
Qianqian Qi, Qiming Bao, Alex Yuxuan Peng, Jiamou Liu, Michael Witbrock
A Dynamic Prompt-tuning Method for Data Augmentation with Associated Knowledge. Tiny Papers @ ICLR (2023)
Aaron Keesing, Yun Sing Koh, Vithya Yogarajan, Michael Witbrock
Emotion Recognition ToolKit (ERTK): Standardising Tools For Emotion Recognition Research. ACM Multimedia (2023)
Qiming Bao, Alex Yuxuan Peng, Zhenyun Deng, Wanjun Zhong, Neset Tan, Nathan Young, Yang Chen, Yonghua Zhu, Michael Witbrock, Jiamou Liu
Contrastive Learning with Logic-driven Data Augmentation for Logical Reasoning over Text. CoRR (2023)
Gaël Gendron, Michael Witbrock, Gillian Dobbie
Disentanglement of Latent Representations via Causal Interventions. IJCAI (2023)
Nathan Young, Qiming Bao, Joshua Bensemann, Michael Witbrock
AbductionRules: Training Transformers to Explain Unexpected Inputs. CoRR (2022)
Joshua Bensemann, Qiming Bao, Gaël Gendron, Tim Hartill, Michael Witbrock
Relating Blindsight and AI: A Review. CoRR (2022)
Nathan Young, Qiming Bao, Joshua Bensemann, Michael Witbrock
AbductionRules: Training Transformers to Explain Unexpected Inputs. ACL (Findings) (2022)
Michael Witbrock, Patrick Haffner
Rapid Connectionist Speaker Adaptation. CoRR (2022)
Zhenyun Deng, Yonghua Zhu, Yang Chen, Michael Witbrock, Patricia Riddle
Interpretable AMR-Based Question Decomposition for Multi-hop Question Answering. IJCAI (2022)
Zhenyun Deng, Yonghua Zhu, Yang Chen, Michael Witbrock, Patricia Riddle
Interpretable AMR-Based Question Decomposition for Multi-hop Question Answering. CoRR (2022)
Vithya Yogarajan, Gillian Dobbie, Sharon Leitch, Te Taka Keegan, Joshua Bensemann, Michael Witbrock, Varsha Asrani, David Reith
Data and model bias in artificial intelligence for healthcare applications in New Zealand. Frontiers Comput. Sci. 4 (2022)
Zhenyun Deng, Yonghua Zhu, Yang Chen, Qianqian Qi, Michael Witbrock, Patricia Riddle
Prompt-based Conservation Learning for Multi-hop Question Answering. COLING (2022)
Joshua Bensemann, Qiming Bao, Gaël Gendron, Tim Hartill, Michael Witbrock
Relating Blindsight and AI: A Review. J. Artif. Intell. Conscious. 9 (1) (2022)
Zhenyun Deng, Yonghua Zhu, Yang Chen, Qianqian Qi, Michael Witbrock, Patricia Riddle
Prompt-based Conservation Learning for Multi-hop Question Answering. CoRR (2022)
Lin Ni, Qiming Bao, Xiaoxuan Li, Qianqian Qi, Paul Denny, Jim Warren, Michael Witbrock, Jiamou Liu
DeepQR: Neural-Based Quality Ratings for Learnersourced Multiple-Choice Questions. AAAI (2022)
Qianqian Qi, Zhenyun Deng, Yonghua Zhu, Lia Jisoo Lee, Michael Witbrock, Jiamou Liu
TaKG: A New Dataset for Paragraph-level Table-to-Text Generation Enhanced with Knowledge Graphs. AACL/IJCNLP (Findings) (2022)
Qiming Bao, Alex Yuxuan Peng, Tim Hartill, Neset Tan, Zhenyun Deng, Michael Witbrock, Jiamou Liu
Multi-Step Deductive Reasoning Over Natural Language: An Empirical Study on Out-of-Distribution Generalisation. CoRR (2022)
Qiming Bao, Alex Yuxuan Peng, Tim Hartill, Neset Tan, Zhenyun Deng, Michael Witbrock, Jiamou Liu
Multi-Step Deductive Reasoning Over Natural Language: An Empirical Study on Out-of-Distribution Generalisation. NeSy (2022)
Aaron Keesing, Yun Sing Koh, Michael Witbrock
Acoustic Features and Neural Representations for Categorical Emotion Recognition from Speech. Interspeech (2021)
Ibrahim Abdelaziz, Maxwell Crouse, Bassem Makni, Vernon Austil, Cristina Cornelio, Shajith Ikbal, Pavan Kapanipathi, Ndivhuwo Makondo, Kavitha Srinivas, Michael Witbrock, Achille Fokoue
Learning to Guide a Saturation-Based Theorem Prover. CoRR (2021)
Maxwell Crouse, Ibrahim Abdelaziz, Bassem Makni, Spencer Whitehead, Cristina Cornelio, Pavan Kapanipathi, Kavitha Srinivas, Veronika Thost, Michael Witbrock, Achille Fokoue
A Deep Reinforcement Learning Approach to First-Order Logic Theorem Proving. AAAI (2021)
Lin Ni, Qiming Bao, Xiaoxuan Li, Qianqian Qi, Paul Denny, Jim Warren, Michael Witbrock, Jiamou Liu
DeepQR: Neural-based Quality Ratings for Learnersourced Multiple-Choice Questions. CoRR (2021)
Dave Schneider, Michael Witbrock
Semantic Construction Grammar: Bridging the NL / Logic Divide. CoRR (2021)
Ryan Musa, Xiaoyan Wang, Achille Fokoue, Nicholas Mattei, Maria Chang, Pavan Kapanipathi, Bassem Makni, Kartik Talamadupula, Michael Witbrock
Answering Science Exam Questions Using Query Reformulation with Background Knowledge. AKBC (2019)
Maxwell Crouse, Achille Fokoue, Maria Chang, Pavan Kapanipathi, Ryan Musa, Constantine Nakos, Lingfei Wu, Kenneth D. Forbus, Michael Witbrock
High-Fidelity Vector Space Models of Structured Data. CoRR (2019)
Tian Gao, Jie Chen, Vijil Chenthamarakshan, Michael Witbrock
A Sequential Set Generation Method for Predicting Set-Valued Outputs. AAAI (2019)
Xiaoyan Wang, Pavan Kapanipathi, Ryan Musa, Mo Yu, Kartik Talamadupula, Ibrahim Abdelaziz, Maria Chang, Achille Fokoue, Bassem Makni, Nicholas Mattei, Michael Witbrock
Improving Natural Language Inference Using External Knowledge in the Science Questions Domain. AAAI (2019)
Siyu Huo, Tengfei Ma, Jie Chen, Maria Chang, Lingfei Wu, Michael Witbrock
Graph Enhanced Cross-Domain Text-to-SQL Generation. TextGraphs@EMNLP (2019)
Tian Gao, Jie Chen, Vijil Chenthamarakshan, Michael Witbrock
A Sequential Set Generation Method for Predicting Set-Valued Outputs. CoRR (2019)
Maxwell Crouse, Spencer Whitehead, Ibrahim Abdelaziz, Bassem Makni, Cristina Cornelio, Pavan Kapanipathi, Edwin Pell, Kavitha Srinivas, Veronika Thost, Michael Witbrock, Achille Fokoue
A Deep Reinforcement Learning based Approach to Learning Transferable Proof Guidance Strategies. CoRR (2019)
Lingfei Wu, Ian En-Hsu Yen, Jinfeng Yi, Fangli Xu, Qi Lei, Michael Witbrock
Random Warping Series: A Random Features Method for Time-Series Embedding. AISTATS (2018)
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
A Systematic Classification of Knowledge, Reasoning, and Context within the ARC Dataset. QA@ACL (2018)
Xiaoyan Wang, Pavan Kapanipathi, Ryan Musa, Mo Yu, Kartik Talamadupula, Ibrahim Abdelaziz, Maria Chang, Achille Fokoue, Bassem Makni, Nicholas Mattei, Michael Witbrock
Improving Natural Language Inference Using External Knowledge in the Science Questions Domain. CoRR (2018)
Lingfei Wu, Ian En-Hsu Yen, Fangli Xu, Pradeep Ravikumar, Michael Witbrock
D2KE: From Distance to Kernel and Embedding. CoRR (2018)
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
An Interface for Annotating Science Questions. EMNLP (Demonstration) (2018)
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
A Systematic Classification of Knowledge, Reasoning, and Context within the ARC Dataset. CoRR (2018)
Ryan Musa, Xiaoyan Wang, Achille Fokoue, Nicholas Mattei, Maria Chang, Pavan Kapanipathi, Bassem Makni, Kartik Talamadupula, Michael Witbrock
Answering Science Exam Questions Using Query Rewriting with Background Knowledge. CoRR (2018)
Lingfei Wu, Ian En-Hsu Yen, Jinfeng Yi, Fangli Xu, Qi Lei, Michael Witbrock
Random Warping Series: A Random Features Method for Time-Series Embedding. CoRR (2018)
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
Scalable Reasoning Infrastructure for Large Scale Knowledge Bases. ISWC (P&D/Industry/BlueSky) (2018)
Wei Han, Shiyu Chang, Ding Liu, Mo Yu, Michael Witbrock, Thomas S. Huang
Image Super-Resolution via Dual-State Recurrent Networks. CVPR (2018)
Qi Lei, Lingfei Wu, Pin-Yu Chen, Alexandros G. Dimakis, Inderjit S. Dhillon, Michael Witbrock
Discrete Attacks and Submodular Optimization with Applications to Text Classification. CoRR (2018)
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
SRI-Sarnoff AURORA System at TRECVID 2014 Multimedia Event Detection and Recounting. TRECVID (2014)
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
SRI-Sarnoff AURORA System at TRECVID 2013 Multimedia Event Detection and Recounting. TRECVID (2013)
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
SRI-Sarnoff AURORA System at TRECVID 2012 Multimedia Event Detection and Recounting. TRECVID (2012)
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
Team SRI-Sarnoff's AURORA System @ TRECVID 2011. TRECVID (2011)
Robert C. Kahlert, Benjamin Rode, David Baxter, Michael Witbrock, Kenneth D. Forbus, Larry Birnbaum, Purvesh Shah, Dave Schneider, Kathy Panton, Alan Belasco, David Crabbe
Tracking Quantity Fluctuations Using STT. AAAI Fall Symposium: Capturing and Using Patterns for Evidence Detection (2006)
Michael Witbrock, Kathy Panton, Stephen L. Reed, Dave Schneider, Bjørn Aldag, Mike Reimers, Stefano Bertolo
Automated OWL Annotation Assisted by a Large Knowledge Base. SemAnnot@ISWC (2004)
Michael Witbrock, Patrick Haffner
Rapid connectionist speaker adaptation. ICASSP (1992)