Modeling Structured Data in Attention-based Models

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Modeling Structured Data in Attention-based Models

Chattez avec Graph Search

Infusing structured knowledge priors in neural models for sample-efficient symbolic reasoning

Subjective performance evaluation of bitrate allocation strategies for MPEG and JPEG Pleno point cloud compression

Driving and suppressing the human language network using large language models

Advancing Self-Supervised Deep Learning for 3D Scene Understanding

Towards improving full-length ribosome density prediction by bridging sequence and graph-based representations

Social-Transmotion: Promptable Human Trajectory Prediction

Fundamental Limits of Prompt Compression: A Rate- Distortion Framework for Black-Box Language Models

Fly-Swat or Cannon? Cost-Effective Language Model Choice via Meta-Modeling

The multimodality cell segmentation challenge: toward universal solutions

Sparse autoregressive neural networks for classical spin systems

MaskCLR: Attention-Guided Contrastive Learning for Robust Action Representation Learning

Random matrix methods for high-dimensional machine learning models

Topics in statistical physics of high-dimensional machine learning

Augmenting large language models with chemistry tools

On distributional autoregression and iterated transportation

Graph generative deep learning models with an application to circuit topologies

Ontology-based Knowledge Representation for Traditional Martial Arts

Machine Learning for Modeling Stock Returns

Aggregating Spatial and Photometric Context for Photometric Stereo

Fast and Future: Towards Efficient Forecasting in Video Semantic Segmentation