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Efficient Error Certification for Physics-Informed Neural Networks

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Francisco Eiras, Adel Bibi, Rudy Bunel, Krishnamurthy Dvijotham, Philip H.S. Torr, M. Pawan Kumar

Efficient Error Certification for Physics-Informed Neural Networks

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

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Francisco Eiras, Aleksandar Petrov, Bertie Vidgen, Christian Schroeder, 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 Arturo Nolazco Flores, Lori Landay, Matthew T Jackson, Paul Röttger, Philip H.S. Torr, Trevor Darrell, Yong Suk Lee, Jakob Foerster

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

Prompting a Pretrained Transformer Can Be a Universal Approximator

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Aleksandar Petrov, Philip H.S. Torr, Adel Bibi

Towards Interpretable Deep Local Learning with Successive Gradient Reconciliation

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Yibo Yang, Xiaojie Li, Motasem Alfarra, Hasan Hammoud, Adel Bibi, Philip H.S. Torr, Bernard Ghanem

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

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Aleksandra Petrov, Philip H.S. Torr, Adel Bibi

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

Illusory Attacks: Detectability Matters in Adversarial Attacks on Sequential Decision-Makers

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Tim Franzmeyer, Stephen Marcus McAleer, Joao F. Henriques, Jakob Nicolaus Foerster, Philip H.S. Torr, Adel Bibi, Christian Schroeder de Witt

Continual Learning on a Diet: Learning from Sparsely Labeled Streams Under Constrained Computation

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Wenxuan Zhang, Youssef Mohamed, Bernard Ghanem, Philip H. S. Torr, Adel Bibi, Mohamed Elhoseiny

Continual Learning on a Diet: Learning from Sparsely Labeled Streams Under Constrained Computation

SimCS: Simulation for Online Domain-Incremental Continual Segmentation

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Motasem Alfarra, Zhipeng Cai, Adel Bibi, Bernard Ghanem, Matthias Müller

SimCS: Simulation for Online Domain-Incremental Continual Segmentation

Language Model Tokenizers Introduce Unfairness Between Languages

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

Language Model Tokenizers Introduce Unfairness Between Languages

Rapid Adaptation in Online Continual Learning: Are We Evaluating It Right?

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Hasan Abed Al Kader Hammoud, Ameya Prabhu, Ser-Nam Lim, Philip H. S. Torr, Adel Bibi, Bernard Ghanem

Rapid Adaptation in Online Continual Learning: Are We Evaluating It Right?