Neuro Causal and Symbolic AI

Workshop @ the 36th
Neural Information Processing Systems (NeurIPS) Conference

December 9th, 2022 - Virtual


Accepted (Contributed Talks)

Title Authors
GlanceNets: Interpretable, Leak-proof Concept-based Models Emanuele Marconato, Andrea Passerini, Stefano Teso
Interventional Causal Representation Learning Kartik Ahuja, Yixin Wang, Divyat Mahajan, Yoshua Bengio
Meaning without reference in large language models Steven Piantadosi, Felix Hill
Unlocking Slot Attention by Changing Optimal Transport Costs Yan Zhang, David W Zhang, Simon Lacoste-Julien, Gertjan J. Burghouts, Cees G. M. Snoek

Accepted (Poster)

Title Authors
The Impact of Symbolic Representations on In-context Learning for Few-shot Reasoning Hanlin Zhang, YiFan Zhang, Li Erran Li, Eric Xing
Graphs, Constraints, and Search for the Abstraction and Reasoning Corpus Yudong Xu, Elias Boutros Khalil, Scott Sanner
Counterfactual reasoning: Do Language Models need world knowledge for causal inference? Jiaxuan Li, Lang Yu, Allyson Ettinger
Image Manipulation via Neuro-Symbolic Networks Harman Singh, Poorva Garg, Mohit Gupta, Kevin Shah, Arnab Kumar Mondal, Dinesh Khandelwal, Parag Singla, Dinesh Garg
Learning Neuro-symbolic Programs for Language-Guided Robotic Manipulation Namasivayam Kalithasan, Himanshu Gaurav Singh, Vishal Bindal, Arnav Tuli, Vishwajeet Agrawal, Rahul Jain, Parag Singla, Rohan Paul
Active Bayesian Causal Inference Christian Toth, Lars Lorch, Christian Knoll, Andreas Krause, Franz Pernkopf, Robert Peharz, Julius Von Kügelgen
Causal Discovery for Modular World Models Anson Lei, Bernhard Schölkopf, Ingmar Posner
Playgrounds for Abstraction and Reasoning Subin Kim, Prin Phunyaphibarn, Donghyun Ahn, Sundong Kim
Enhancing Transfer of Reinforcement Learning Agents with Abstract Contextual Embeddings Guy Azran, Mohamad Hosein Danesh, Stefano V Albrecht, Sarah Keren
Hierarchical Abstraction for Combinatorial Generalization in Object Rearrangement Michael Chang, Alyssa Li Dayan, Franziska Meier, Thomas L. Griffiths, Sergey Levine, Amy Zhan
Benchmarking Counterfactual Reasoning Abilities about Implicit Physical Properties Maitreya Patel, Tejas Gokhale, Chitta Baral, Yezhou Yang
Symbolic Causal Inference via Operations on Probabilistic Circuits Benjie Wang, Marta Kwiatkowska
Discrete Learning Of DAGs Via Backpropagation Andrew J. Wren, Pasquale Minervini, Luca Franceschi, Valentina Zantedeschi
Probabilities of Causation: Adequate Size of Experimental and Observational Samples Ang Li, Ruirui Mao, Judea Pearl
Synthesized Differentiable Programs Lucas Paul Saldyt