Prof. Francesco Leofante — Research Profile
Imperial College London · Department of Computing
About
Prof. Francesco Leofante at Imperial College London Department of Computing lists AI explainability, AI safety, alignment, automated planning as their registered research area.
Research keywords
Recent papers
- Temporal Predictive Multiplicity: Equally Accurate Time Series Models Yield Different Forecast TrajectoriesPreprintarXiv (Cornell University) · Oct 7
- eval-unlearn: Benchmarking unlearning in Text-to-Image Diffusion ModelsPreprintarXiv (Cornell University) · Sep 28
- Certifying Concept Unlearning in Text-to-Image Diffusion ModelsPreprintarXiv (Cornell University) · Sep 10
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
Shared topic: Adversarial Robustness in Machine Learning
Yarin Gal 교수 연구실
University of Oxford · Department of Computer Science
Distillation Defenses Easily Break After Reinforcement LearningPreprintarXiv (Cornell University) · Sep 28Nicholas Lane 교수 연구실
University of Cambridge · Department of Computer Science and Technology
Extracting Forgotten Prompts from Targeted Unlearned ModelsPreprintarXiv (Cornell University) · Sep 3Michael Bronstein 교수 연구실
University of Oxford · Department of Computer Science
Global Transport Couplings for Classifier-Free Guided FlowsNewPreprintarXiv (Cornell University) · Oct 6
Other labs in this department
- Abbas Edalat 교수 연구실
Computational geometry, optimization theory, game theory
- Alastair Donaldson 교수 연구실
Formal verification, software performance optimization
- Aldo Faisal 교수 연구실
Neurotechnology, machine learning, algorithmic behavior prediction
- Alessandra Russo 교수 연구실
Computational logic, logic-based machine learning, autonomous systems
- Alessio Lomuscio 교수 연구실
AI verification, computer vision validation, certified learning
- Andrew Davison 교수 연구실
Computer vision, robotics, SLAM, augmented reality