影响力指数
论文质量、代表作、近期表现、广度与样本量置信度综合计算
62.85/100
前 4.1%
全站排名 #2,612
发表论文10 篇
平均评分
年均产出3.3 篇/年
Jakob Verbeek
研究方向
machine learning · computer vision · generative models · image compression · test-to-image generation · vector quantization
18
Entropy Rectifying Guidance for Diffusion and Flow Models
NeurIPS 2025Poster
25
Qinco2: Vector Compression and Search with Improved Implicit Neural Codebooks
ICLR 2025Poster
三作22
Increasing the Utility of Synthetic Images through Chamfer Guidance
NeurIPS 2025Poster
17
Improving the Scaling Laws of Synthetic Data with Deliberate Practice
ICML 2025Oral
23
Boosting Latent Diffusion with Perceptual Objectives
ICLR 2025Poster
通讯