Search Results for author:
Found 8 papers, 4 papers with code
Fully Exploiting Every Real Sample: SuperPixel Sample Gradient Model Stealing
With the basic idea of imitating the victim model's low-variance patch-level gradients instead of pixel-level gradients, SPSG achieves efficient sample gradient estimation through two steps.
Generative Enzyme Design Guided by Functionally Important Sites and Small-Molecule Substrates
In this paper, we propose EnzyGen, an approach to learn a unified model to design enzymes across all functional families.
Game Generation via Large Language Models
Recently, the emergence of large language models (LLMs) has unlocked new opportunities for procedural content generation.
Functional Geometry Guided Protein Sequence and Backbone Structure Co-Design
In this paper, we propose NAEPro, a model to jointly design Protein sequence and structure based on automatically detected functional sites.
Joint Design of Protein Sequence and Structure based on Motifs
Designing novel proteins with desired functions is crucial in biology and chemistry.
MOSPC: MOS Prediction Based on Pairwise Comparison
And our framework also surpasses the strong baseline in ranking accuracy on each fine-grained segment.
PolyVoice: Language Models for Speech to Speech Translation
For the speech synthesis part, we adopt the existing VALL-E X approach and build a unit-based audio language model.
Games for Artificial Intelligence Research: A Review and Perspectives
Those platforms provide ideal benchmarks for exploring and comparing artificial intelligence ideas and techniques.
