Prof. Julia Vogt — Research Profile
ETH Zurich · Department of Computer Science
About
Prof. Julia Vogt at ETH Zurich Department of Computer Science lists medical data science, machine learning, data mining, computational biology as their registered research area.
Research keywords
Recent papers
- Parallel Language Models via Variational DecodingNewPreprintarXiv (Cornell University) · Oct 19
- Residual Stochastic Concept Bottleneck ModelsNewPreprintarXiv (Cornell University) · Oct 16
- Tabular Foundation Models Are Effectively ShallowPreprintarXiv (Cornell University) · Oct 9
From OpenAlex · papers whose author affiliation matches this university
Labs doing related research
Labs that recently published on topics this lab's recent papers share
Antoine Bosselut 교수 연구실
EPFL · School of Computer and Communication Sciences
Lingua Franca or Probing Artifact? Rethinking Latent Language in Multilingual LLMsPreprintarXiv (Cornell University) · Aug 31Shared topic: Topic Modeling
Marco Hutter 교수 연구실
ETH Zurich · Department of Mechanical and Process Engineering
What do VLM-Based Vision-Language Navigation Models Rely on: Interpreting and Steering Policy BehaviorNewPreprintarXiv (Cornell University) · Sep 21Shared topic: Multimodal Machine Learning Applications
Martin Jaggi 교수 연구실
EPFL · School of Computer and Communication Sciences
Adapting English Quality Classifiers for Multilingual LLM Pretraining Data SelectionPreprintarXiv (Cornell University) · Oct 8Shared topic: Topic Modeling
Other labs in this department
- Adrian Perrig 교수 연구실
system and network security, networks, internet architecture
- Ana Klimovic 교수 연구실
cloud computing, operating systems, distributed systems, storage systems, computer architecture
- Andreas Krause 교수 연구실
machine learning, artificial intelligence, reinforcement learning, probabilistic inference
- Angelika Steger 교수 연구실
algorithms, combinatorics, randomization and probabilistic methods, combinatorial models for optimization
- April Yi Wang 교수 연구실
educational technology, human-computer interaction, artificial intelligence in education, collective intelligence and organizational technology, end-user programming, user interface for programming
- Bernhard Schölkopf 교수 연구실
machine learning, causal inference, applications in the sciences