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
29.19/100
前 25.4%
全站排名 #16,330
发表论文7 篇
平均评分
年均产出3.5 篇/年
Till Aczel
研究方向
multi-model deep learning · representation learning · self-supervised learning
28
Light Differentiable Logic Gate Networks
ICLR 2026Poster
二作9
Keep It Real: Challenges in Attacking Compression-Based Adversarial Purification
ICLR 2026Rejected
二作20
Efficient Bayesian Inference from Noisy Pairwise Comparisons
ICLR 2026Rejected
一作5
Human Aligned Compression for Robust Models
ICLR 2026Withdrawn
二作5
From MNIST to ImageNet: Understanding the Scalability Boundaries of Differentiable Logic Gate Networks
ICLR 2026Withdrawn
二作15
Recurrent Deep Differentiable Logic Gate Networks
ICLR 2026Rejected
三作