Scholar
Camila Kolling
Google Scholar ID: VIfs12oAAAAJ
Max-Planck Institute for Software Systems (MPI-SWS)
Citations & Impact
Citations
200
H-index
6
i10-index
3
Publications
17
Co-authors
17
list available
Publications
Resume (English only)
Academic Achievements
- - Paper 'Large Language Models as Model Organisms for Human Associative Learning' accepted at NeurIPS
- - Presented work on 'Non-Monotonic Plasticity in Large Language Models' at CCN
- - Paper 'Investigating the Effects of Fairness Interventions Using Pointwise Representational Similarity' accepted in TMLR
- - Extended abstract 'Non-Monotonic Plasticity in Large Language Models' accepted in CCN
- - Passed Qualifying Exam
- - Received several academic awards, including the Engineer of the Year Award (2019) and Student Highlight Award (2019)
Research Experience
- - Research Assistant at Max Planck Institute for Software Systems (MPI-SWS)
- - Intern at Google Brain, Warsaw, working on multi-modal architectures to improve zero-shot VQA accuracy
- - Intern at MPI-SWS, Saarbrücken, working on robustness to adversarial attacks
- - Machine Learning Engineer at Kunumi, working on ICU-related projects and developing an NLP model for a conversational assistant
Education
- - Ph.D. Student in Computer Science, Max Planck Institute for Software Systems (MPI-SWS), advised by Dr. Mariya Toneva and co-advised by Dr. Krishna P. Gummadi
- - Master's degree in Computer Science, Pontificia Universidade Católica do Rio Grande do Sul (PUCRS), Brazil, advised by Dr. Soraia Musse and co-advised by Dr. Adriano Veloso
- - Bachelor's degree in Computer Engineering, Pontificia Universidade Católica do Rio Grande do Sul (PUCRS), Brazil, graduated in 2020
Background
- Research interests: Intersection between Machine Learning and Neuroscience. The goal is to develop brain-inspired machine learning systems and gain a better understanding of how the brain processes information using machine learning methods.
Miscellany
- Personal interests and hobbies not mentioned
