Francisco Eiras
5 papers · 2018–2025 · 3 venues · across top CS/AI venues
Authors are matched by name, so researchers who share a name ("Yang Liu", "Wei Wang") appear as a single profile and their paper counts, venues and achievements are combined. How identity is handled.
Achievements
Jump to papers ↓+1 more ↓ Show less ↑
🌍 Conference Polyglot · Bronze 🏃 Academic Marathon · Sprint 🌉 Interdisciplinary Bridge · Bronze 🗺️ Taxonomy Completionist (14) 🐣 Hot Topic Early Bird
👥
Mega-Team · Squad
Top co-authors
Research topics
Artificial Intelligence
(4)
Core AI
(4)
Machine Learning
(3)
Optimization & Theory · Machine Learning
(3)
Deep Learning
(2)
Optimization & Theory · Deep Learning
(2)
Computer Vision
(1)
Natural Language Processing
(1)
Analysis
(1)
Architectures
(1)
Core Methods
(1)
Learning Types
(1)
Processing
(1)
Resources & Methods
(1)
Keywords
large language model
(2)
adversarial robustness
(1)
ensemble learning
(1)
instruction following
(1)
safety alignment
(1)
lipschitz continuity
(1)
deep learning model
(1)
physics-informed neural network
(1)
partial differential equation
(1)
generative ai
(1)
3d geometry
(1)
ensemble classifier
(1)
societal impact
(1)
risk mitigation
(1)
camera calibration
(1)
vanishing point
(1)
open source
(1)
residual error
(1)
camera geometry
(1)
catadioptric camera
(1)
Papers
Do as I do (Safely): Mitigating Task-Specific Fine-tuning Risks in Large Language Models
ICLR 2025
Efficient Error Certification for Physics-Informed Neural Networks
ICML 2024
Position: Near to Mid-term Risks and Opportunities of Open-Source Generative AI
ICML 2024
Certifying Ensembles: A General Certification Theory with S-Lipschitzness
ICML 2023
Analytical Modeling of Vanishing Points and Curves in Catadioptric Cameras
CVPR 2018