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Poster
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Mon 7:30
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Weakly Supervised Knowledge Transfer with Probabilistic Logical Reasoning for Object Detection
Martijn Oldenhof · Adam Arany · Yves Moreau · Edward De Brouwer
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Poster
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Mon 7:30
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Causal Reasoning in the Presence of Latent Confounders via Neural ADMG Learning
Matthew Ashman · Chao Ma · Agrin Hilmkil · Joel Jennings · Cheng Zhang
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Workshop
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[Remote Poster] VAEL: Bridging Variational Autoencoders and Probabilistic Logic Programming
Eleonora Misino · Giuseppe Marra · Emanuele Sansone
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Poster
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TILP: Differentiable Learning of Temporal Logical Rules on Knowledge Graphs
Siheng Xiong · Yuan Yang · Faramarz Fekri · James Kerce
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Poster
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Logical Entity Representation in Knowledge-Graphs for Differentiable Rule Learning
Chi Han · Qizheng He · Charles Yu · Xinya Du · Hanghang Tong · Heng Ji
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Poster
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Neural Compositional Rule Learning for Knowledge Graph Reasoning
Kewei Cheng · Nesreen Ahmed · Yizhou Sun
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Workshop
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[Remote poster] Using Domain Knowledge to Guide Dialog Structure Induction via Neural Probabilistic Soft Logic
Connor Pryor · Quan Yuan · Jeremiah Zhe Liu · Seyed Mehran Kazemi · Deepak Ramachandran · Tania Bedrax-Weiss · Lise Getoor
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Poster
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LogicDP: Creating Labels for Graph Data via Inductive Logic Programming
Yuan Yang · Faramarz Fekri · James Kerce · Ali Payani
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Poster
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Can Neural Networks Learn Implicit Logic from Physical Reasoning?
Aaron Traylor · Roman Feiman · Ellie Pavlick
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Poster
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Wed 2:30
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Weakly Supervised Explainable Phrasal Reasoning with Neural Fuzzy Logic
Zijun Wu · Zi Xuan Zhang · Atharva Naik · Zhijian Mei · Mauajama Firdaus · Lili Mou
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Oral
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Mon 7:10
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Selection-Inference: Exploiting Large Language Models for Interpretable Logical Reasoning
Antonia Creswell · Murray Shanahan · Irina Higgins
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Poster
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Mon 7:30
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Selection-Inference: Exploiting Large Language Models for Interpretable Logical Reasoning
Antonia Creswell · Murray Shanahan · Irina Higgins
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