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Towards a solution to bongard problems: A causal approach
Neural networks for abstraction and reasoning:Towards broad generalization in ma...
Stratified Rule-Aware Network for Abstract Visual Reasoning
Abstract Spatial-Temporal Reasoning via Probabilistic Abduction and Execution通过概...
Program Synthesis using Inductive Logic Programming for the Abstraction and Reas...
Inductive biases for deep learning of higher-level cognition 高级认知深度学习的归纳偏差
On the Measure of Intelligence https://arxiv.org/abs/1911.01547
Defining intelligence: Bridging the gap between human and artificial perspective...
Object-centric architectures enable efficient causal representation learning以对象为...
The Background Also Matters: Background-Aware Motion-Guided Objects Discovery
A Unified Framework for Human-Allied Learning of Probabilistic Circuits
Faster Attend-Infer-Repeat with Tractable Probabilistic Models利用易处理的概率模型加快注意-推断-...
Morphogenesis as Bayesian inference: A variational approach to pattern formation...
https://github.com/PrincetonLIPS/MaM https://arxiv.org/pdf/2310.12920
Consistency Models for Scalable and Fast Simulation-Based Inference
Active inference, morphogenesis, and computational psychiatry
Normalizing Flows for Probabilistic Modeling and Inference 调查
The frontier of simulation-based inference基于仿真的推理前沿
Simulation Intelligence: Towards a New Generation of Scientific Methods https:/...
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