Abstract:
- Remote Poster: Deep Bidirectional Language-Knowledge Graph Pretraining
- Remote Poster: Guaranteed Conformance of Neurosymbolic Dynamics Models to Natural Constraints
- Remote Poster: VAEL: Bridging Variational Autoencoders and Probabilistic Logic Programming
- Remote Poster: Learning Symbolic Representations Through Joint GEnerative and DIscriminative Training
- Remote Poster: SlotDiffusion: Unsupervised Object-Centric Learning with Diffusion Models
- In-Person Poster: Discovering Graph Generation Algorithms
- Remote Poster: LAMBADA: Backward Chaining for Automated Reasoning in Natural Language
- In-Person Poster: Symbolic Disentangled Representations in Hyperdimensional Latent Space
- In-Person Poster: A-NeSI: A Scalable Approximate Method for Probabilistic Neurosymbolic Inference
- Remote Poster: Deep Generative Symbolic Regression with Monte-Carlo-Tree-Search
- Remote Poster: Open-Ended Dreamer: An Unsupervised Diversity-oriented Neurosymbolic Learner
- Remote Poster: Slot-VAE: Object-Centric Scene Inference and Generation with Slot Attention
- Remote Poster: Generating Temporal Logical Formulas with Transformer GANs
- Remote Poster: Using Domain Knowledge to Guide Dialog Structure Induction via Neural Probabilistic Soft Logic
- Remote Poster: Grounded physical language understanding with probabilistic programs and simulated worlds
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