IEEE

Interaction-Based Inductive Bias in Graph Neural Networks: Enhancing Protein-Ligand Binding Affinity Predictions From 3D Structures

Abstract: Inductive bias in machine learning (ML) is the set of assumptions describing how a model makes predictions. Different ML-based methods for protein-ligand binding affinity (PLA) prediction ...
GitHub

Matching 2D Images in 3D: Metric Relative Pose from Metric Correspondences

This is the reference implementation of the paper "Matching 2D Images in 3D: Metric Relative Pose from Metric Correspondences" presented at CVPR 2024. The paper introduces Metric Keypoints (MicKey), a ...
GitHub

DEEPTalk: Dynamic Emotion Embedding for Probabilistic Speech-Driven 3D Face Animation [AAAI2025]

Official pytorch code release of "DEEPTalk: Dynamic Emotion Embedding for Probabilistic Speech-Driven 3D Face Animation" @misc{kim2024deeptalkdynamicemotionembedding ...
IEEE

Codeword Stabilized Codes from m-Uniform Graph States

Abstract: An m-uniform quantum state on n qubits is an entangled state in which every m-qubit subsystem is maximally mixed. Starting with an m-uniform state realized as the graph state associated with ...