Prof. Fanny Yang — Research Profile
ETH Zurich · Department of Computer Science
About
Prof. Fanny Yang at ETH Zurich Department of Computer Science lists machine learning theory and reliability, non-parametric and high-dimensional statistics, optimisation as their registered research area.
Research keywords
Recent papers
- Progressive Misalignment Can Emerge from Benign Recursive Self-DistillationNewPreprintarXiv (Cornell University) · Oct 15
- LLM-to-Flow Distillation: Teaching Natural Language Goals to Scientific GeneratorsPreprintarXiv (Cornell University) · Oct 12
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
Pascal Frossard 교수 연구실
EPFL · School of Computer and Communication Sciences
Frame the adversary: a structure-aware attack methodologyPreprintarXiv (Cornell University) · Sep 25Shared topic: Adversarial Robustness in Machine Learning
Martin Jaggi 교수 연구실
EPFL · School of Computer and Communication Sciences
Self-Repulsive Sampling for Diffusion Language ModelsPreprintarXiv (Cornell University) · Sep 30Shared topic: Adversarial Robustness in Machine Learning
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
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