影响力指数

70.41/100

前 2.6%

全站排名 #1,656

发表论文14 篇

平均评分5.8

年均产出4.7 篇/年

Julia E Vogt

Assistant Professor@Swiss Federal Institute of Technology·瑞士·OpenReview

研究方向

clustering · sparse feature selection · medical informatics · computational biology · medical data science · generative models · VAEs · explainable and interpretable ML · representation learning

4.5

From Pixels to Perception: Interpretable Predictions via Instance-wise Grouped Feature Selection

ICML 2025Poster

二作

6.1

From Logits to Hierarchies: Hierarchical Clustering made Simple

ICML 2025Poster

通讯

5.5

Components Beat Patches: Eigenvector Removal for Robust Masked Image Modelling

ICLR 2025Rejected

通讯

4.5

Anomaly Detection by Context Contrasting

ICLR 2025Rejected

通讯

4.0

Hierarchical Clustering for Conditional Diffusion in Image Generation

ICLR 2025Rejected

通讯

3.8

From Logits to Hierarchies: Hierarchical Clustering made Simple

合作者 (20)

Julia E Vogt

TOAST : Transformer Optimization using Adaptive and Simple Transformations

Cross-Entropy Is All You Need To Invert the Data Generating Process

scSSL-Bench: Benchmarking Self-Supervised Learning for Single-Cell Data

From Pixels to Perception: Interpretable Predictions via Instance-wise Grouped Feature Selection

From Logits to Hierarchies: Hierarchical Clustering made Simple

Components Beat Patches: Eigenvector Removal for Robust Masked Image Modelling

Anomaly Detection by Context Contrasting

Hierarchical Clustering for Conditional Diffusion in Image Generation

From Logits to Hierarchies: Hierarchical Clustering made Simple