activity
20182026
most citedHow Robust are the Estimated Effects of Nonpharmaceutical Interventions against COVID-19?

16 citations · 26 across the 6 of their papers we have counts for

collaborators

7 papers

cs.AI2026

Safety from Honesty in a Disinterested AI Predictor

Yoshua Bengio, Oliver Richardson, Tomáš Gavenčiak +13

As AI systems become more capable, training procedures that optimize for downstream outcomes risk introducing implicit agency: goal-directed behavior that designers never specified…

cs.MA2025★ 10 cited

Multi-Agent Risks from Advanced AI

Lewis Hammond, Alan Chan, Jesse Clifton +41

The rapid development of advanced AI agents and the imminent deployment of many instances of these agents will give rise to multi-agent systems of unprecedented complexity. These s…

cs.AI2024

Possible Principles for Aligned Structure Learning Agents

Lancelot Da Costa, Tomáš Gavenčiak, David Hyland +5

This paper offers a roadmap for the development of scalable aligned artificial intelligence (AI) from first principle descriptions of natural intelligence. In brief, a possible pat…

cs.CL2024

Mitigating the Influence of Distractor Tasks in LMs with Prior-Aware Decoding

Raymond Douglas, Andis Draguns, Tomáš Gavenčiak

The broad capabilities of Language Models (LMs) can be limited by their sensitivity to distractor tasks: LMs can infer secondary tasks from the prompt in addition to the intended o…

cs.AI2020

Performance of Bounded-Rational Agents With the Ability to Self-Modify

Jakub Tětek, Marek Sklenka, Tomáš Gavenčiak

Self-modification of agents embedded in complex environments is hard to avoid, whether it happens via direct means (e.g. own code modification) or indirectly (e.g. influencing the…

stat.AP2020★ 16 cited

How Robust are the Estimated Effects of Nonpharmaceutical Interventions against COVID-19?

Mrinank Sharma, Sören Mindermann, Jan Markus Brauner +7

To what extent are effectiveness estimates of nonpharmaceutical interventions (NPIs) against COVID-19 influenced by the assumptions our models make? To answer this question, we inv…

cs.DS2018

Compact I/O-Efficient Representation of Separable Graphs and Optimal Tree Layouts

Tomáš Gavenčiak, Jakub Tětek

Compact and I/O-efficient data representations play an important role in efficient algorithm design, as memory bandwidth and latency can present a significant performance bottlenec…