Aleksandar Petrov

According to our database, Aleksandar Petrov authored at least 17 papers between 2009 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Language-Models-as-a-Service: Overview of a New Paradigm and its Challenges.

Emanuele La Malfa, Aleksandar Petrov, Simon Frieder, Christoph Weinhuber, Ryan Burnell, Raza Nazar, Anthony G. Cohn, Nigel Shadbolt, Michael J. Wooldridge

J. Artif. Intell. Res., 2024

Mimicking User Data: On Mitigating Fine-Tuning Risks in Closed Large Language Models.

Francisco Eiras, Aleksandar Petrov, Philip H. S. Torr, M. Pawan Kumar, Adel Bibi

CoRR, 2024

Universal In-Context Approximation By Prompting Fully Recurrent Models.

Aleksandar Petrov, Tom A. Lamb, Alasdair Paren, Philip Torr, Adel Bibi

CoRR, 2024

Risks and Opportunities of Open-Source Generative AI.

Francisco Eiras, Aleksandar Petrov, Bertie Vidgen, Christian Schröder de Witt, Fabio Pizzati, Katherine Elkins, Supratik Mukhopadhyay, Adel Bibi, Aaron Purewal, Botos Csaba, Fabro Steibel, Fazel Keshtkar, Fazl Barez, Genevieve Smith, Gianluca Guadagni, Jon Chun, Jordi Cabot, Joseph Marvin Imperial, Juan Arturo Nolazco, Lori Landay, Matthew Thomas Jackson, Philip H. S. Torr, Trevor Darrell, Yong Suk Lee, Jakob N. Foerster

CoRR, 2024

Near to Mid-term Risks and Opportunities of Open Source Generative AI.

Francisco Eiras, Aleksandar Petrov, Bertie Vidgen, Christian Schröder de Witt, Fabio Pizzati, Katherine Elkins, Supratik Mukhopadhyay, Adel Bibi, Botos Csaba, Fabro Steibel, Fazl Barez, Genevieve Smith, Gianluca Guadagni, Jon Chun, Jordi Cabot, Joseph Marvin Imperial, Juan A. Nolazco-Flores, Lori Landay, Matthew Thomas Jackson, Paul Röttger, Philip H. S. Torr, Trevor Darrell, Yong Suk Lee, Jakob N. Foerster

CoRR, 2024

Prompting a Pretrained Transformer Can Be a Universal Approximator.

Aleksandar Petrov, Philip Torr, Adel Bibi

Proceedings of the Forty-first International Conference on Machine Learning, 2024

Position: Near to Mid-term Risks and Opportunities of Open-Source Generative AI.

Francisco Eiras, Aleksandar Petrov, Bertie Vidgen, Christian Schröder de Witt, Fabio Pizzati, Katherine Elkins, Supratik Mukhopadhyay, Adel Bibi, Botos Csaba, Fabro Steibel, Fazl Barez, Genevieve Smith, Gianluca Guadagni, Jon Chun, Jordi Cabot, Joseph Marvin Imperial, Juan A. Nolazco-Flores, Lori Landay, Matthew Thomas Jackson, Paul Röttger, Philip H. S. Torr, Trevor Darrell, Yong Suk Lee, Jakob N. Foerster

Proceedings of the Forty-first International Conference on Machine Learning, 2024

When Do Prompting and Prefix-Tuning Work? A Theory of Capabilities and Limitations.

Aleksandar Petrov, Philip Torr, Adel Bibi

Proceedings of the Twelfth International Conference on Learning Representations, 2024

2023

Remote Sensing Data Preparation for Recognition and Classification of Building Roofs.

Emil Popov Hristov, Dessislava Petrova-Antonova, Aleksandar Petrov, Milena Borukova, Evgeny Shirinyan

Data, May, 2023

The ARRT of Language-Models-as-a-Service: Overview of a New Paradigm and its Challenges.

Emanuele La Malfa, Aleksandar Petrov, Simon Frieder, Christoph Weinhuber, Ryan Burnell, Anthony G. Cohn, Nigel Shadbolt, Michael J. Wooldridge

CoRR, 2023

Language Model Tokenizers Introduce Unfairness Between Languages.

Aleksandar Petrov, Emanuele La Malfa, Philip H. S. Torr, Adel Bibi

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Certifying Ensembles: A General Certification Theory with S-Lipschitzness.

Aleksandar Petrov, Francisco Eiras, Amartya Sanyal, Philip H. S. Torr, Adel Bibi

Proceedings of the International Conference on Machine Learning, 2023

2022

Robustness of Unsupervised Representation Learning without Labels.

Aleksandar Petrov, Marta Kwiatkowska

CoRR, 2022

HiddenGems: Efficient safety boundary detection with active learning.

Aleksandar Petrov, Carter Fang, Khang Minh Pham, You Hong Eng, James Guo Ming Fu, Scott Drew Pendleton

Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2022

2020

Integrated Benchmarking and Design for Reproducible and Accessible Evaluation of Robotic Agents.

Jacopo Tani, Andrea F. Daniele, Gianmarco Bernasconi, Amaury Camus, Aleksandar Petrov, Anthony Courchesne, Bhairav Mehta, Rohit Suri, Tomasz Zaluska, Matthew R. Walter, Emilio Frazzoli, Liam Paull, Andrea Censi

Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2020

Learning Camera Miscalibration Detection.

Andrei Cramariuc, Aleksandar Petrov, Rohit Suri, Mayank Mittal, Roland Siegwart, Cesar Cadena

Proceedings of the 2020 IEEE International Conference on Robotics and Automation, 2020

2009

Blocking effect reduction in low bitrate video on a mobile platform.

Aleksandar Petrov, Tomislav Kartalov, Zoran A. Ivanovski

Proceedings of the International Conference on Image Processing, 2009