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
3.63/100
超过 11.1%
全站排名 #57,257
发表论文5 篇
平均评分
年均产出2.5 篇/年
Asja Fischer
研究方向
Restricted Boltzmann machines · generative models · Markov chains · deep learning · Deepfake detection · Uncertainty Quantification
11
Geometric and Information Compression of Representations in Deep Learning
ICLR 2026Rejected
三作5
Cryptography in Semantic Watermarks: Undetectability and Deployment Implications
ICLR 2026Withdrawn
通讯4
RAID: A Benchmark Dataset for Testing the Adversarial Robustness of AI-Generated Image Detectors
ICLR 2026Withdrawn