Tag: causal machine learning
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PhysVid: Physics-Aware Conditioning for Realistic Video AI
PhysVid enhances generative video models with physics-aware local conditioning, boosting physical plausibility and realism in AI-generated videos.
GeoGuide: Advanced 3D Semantic Segmentation with Hierarchical Geometry
Discover GeoGuide, a novel framework enhancing open-vocabulary 3D semantic segmentation using hierarchical geometric guidance for improved accuracy and con...
Abstract Compression Boosts LLM-based ASR with Context
Discover how abstract compression enhances conversational context in LLM-based ASR, improving recognition accuracy and reducing computational costs.
Vision-Language Diffusion Models for GUI Grounding
Explore how discrete diffusion vision-language models improve GUI grounding accuracy and reduce latency in multimodal AI applications.
Optimizing Graph Rewiring to Fix GNN Oversmoothing Issues
Explore the NP-hard complexity of optimizing graph rewiring to reduce oversmoothing and oversquashing in Graph Neural Networks for better performance.