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Aleksandar Petrov
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2020 – today
- 2024
- [j2]Emanuele La Malfa, Aleksandar Petrov, Simon Frieder, Christoph Weinhuber, Ryan Burnell, Raza Nazar, Anthony G. Cohn, Nigel Shadbolt, Michael J. Wooldridge:
Language-Models-as-a-Service: Overview of a New Paradigm and its Challenges. J. Artif. Intell. Res. 80: 1497-1523 (2024) - [c9]Aleksandar Petrov, Philip Torr, Adel Bibi:
When Do Prompting and Prefix-Tuning Work? A Theory of Capabilities and Limitations. ICLR 2024 - [c8]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:
Position: Near to Mid-term Risks and Opportunities of Open-Source Generative AI. ICML 2024 - [c7]Aleksandar Petrov, Philip Torr, Adel Bibi:
Prompting a Pretrained Transformer Can Be a Universal Approximator. ICML 2024 - [i13]Aleksandar Petrov, Philip H. S. Torr, Adel Bibi:
Prompting a Pretrained Transformer Can Be a Universal Approximator. CoRR abs/2402.14753 (2024) - [i12]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:
Near to Mid-term Risks and Opportunities of Open Source Generative AI. CoRR abs/2404.17047 (2024) - [i11]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:
Risks and Opportunities of Open-Source Generative AI. CoRR abs/2405.08597 (2024) - [i10]Aleksandar Petrov, Tom A. Lamb, Alasdair Paren, Philip Torr, Adel Bibi:
Universal In-Context Approximation By Prompting Fully Recurrent Models. CoRR abs/2406.01424 (2024) - [i9]Francisco Eiras, Aleksandar Petrov, Philip H. S. Torr, M. Pawan Kumar, Adel Bibi:
Mimicking User Data: On Mitigating Fine-Tuning Risks in Closed Large Language Models. CoRR abs/2406.10288 (2024) - 2023
- [j1]Emil Popov Hristov, Dessislava Petrova-Antonova, Aleksandar Petrov, Milena Borukova, Evgeny Shirinyan:
Remote Sensing Data Preparation for Recognition and Classification of Building Roofs. Data 8(5): 80 (2023) - [c6]Aleksandar Petrov, Francisco Eiras, Amartya Sanyal, Philip H. S. Torr, Adel Bibi:
Certifying Ensembles: A General Certification Theory with S-Lipschitzness. ICML 2023: 27709-27736 - [c5]Aleksandar Petrov, Emanuele La Malfa, Philip H. S. Torr, Adel Bibi:
Language Model Tokenizers Introduce Unfairness Between Languages. NeurIPS 2023 - [i8]Aleksandar Petrov, Francisco Eiras, Amartya Sanyal, Philip H. S. Torr, Adel Bibi:
Certifying Ensembles: A General Certification Theory with S-Lipschitzness. CoRR abs/2304.13019 (2023) - [i7]Aleksandar Petrov, Emanuele La Malfa, Philip H. S. Torr, Adel Bibi:
Language Model Tokenizers Introduce Unfairness Between Languages. CoRR abs/2305.15425 (2023) - [i6]Emanuele La Malfa, Aleksandar Petrov, Simon Frieder, Christoph Weinhuber, Ryan Burnell, Anthony G. Cohn, Nigel Shadbolt, Michael J. Wooldridge:
The ARRT of Language-Models-as-a-Service: Overview of a New Paradigm and its Challenges. CoRR abs/2309.16573 (2023) - [i5]Aleksandar Petrov, Philip H. S. Torr, Adel Bibi:
When Do Prompting and Prefix-Tuning Work? A Theory of Capabilities and Limitations. CoRR abs/2310.19698 (2023) - 2022
- [c4]Aleksandar Petrov, Carter Fang, Khang Minh Pham, You Hong Eng, James Guo Ming Fu, Scott Drew Pendleton:
HiddenGems: Efficient safety boundary detection with active learning. IROS 2022: 5147-5154 - [i4]Aleksandar Petrov, Marta Kwiatkowska:
Robustness of Unsupervised Representation Learning without Labels. CoRR abs/2210.04076 (2022) - [i3]Aleksandar Petrov, Carter Fang, Khang Minh Pham, You Hong Eng, James Guo Ming Fu, Scott Drew Pendleton:
HiddenGems: Efficient safety boundary detection with active learning. CoRR abs/2210.13956 (2022) - 2020
- [c3]Andrei Cramariuc, Aleksandar Petrov, Rohit Suri, Mayank Mittal, Roland Siegwart, Cesar Cadena:
Learning Camera Miscalibration Detection. ICRA 2020: 4997-5003 - [c2]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:
Integrated Benchmarking and Design for Reproducible and Accessible Evaluation of Robotic Agents. IROS 2020: 6229-6236 - [i2]Andrei Cramariuc, Aleksandar Petrov, Rohit Suri, Mayank Mittal, Roland Siegwart, Cesar Cadena:
Learning Camera Miscalibration Detection. CoRR abs/2005.11711 (2020) - [i1]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:
Integrated Benchmarking and Design for Reproducible and Accessible Evaluation of Robotic Agents. CoRR abs/2009.04362 (2020)
2000 – 2009
- 2009
- [c1]Aleksandar Petrov, Tomislav Kartalov, Zoran A. Ivanovski:
Blocking effect reduction in low bitrate video on a mobile platform. ICIP 2009: 3937-3940
Coauthor Index
aka: Philip H. S. Torr
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