papers
Publications (3)
cs.AI2026
The Industrialization of Research ; On AI-Driven Science and Its Consequences
Emmanuel Jeannot
The paper examines how artificial intelligence is turning scientific research into an industrialized pipeline, where AI automates and supervises many research steps, and discusses…
#ai-driven science#research automation#scientific methodology#ethics
cs.AI2020
Geometric Deep Reinforcement Learning for Dynamic DAG Scheduling
Nathan Grinsztajn, Olivier Beaumont, Emmanuel Jeannot +1
In practice, it is quite common to face combinatorial optimization problems which contain uncertainty along with non-determinism and dynamicity. These three properties call for app…
cs.DC2026
Looking for (Genomic) Needles in a Haystack: Sparsity-Driven Search for Identifying Correlated Genetic Mutations in Cancer
Ritvik Prabhu, Emil Vatai, Bernard Moussad +4
Cancer typically arises not from a single genetic mutation (i.e., hit) but from multi-hit combinations that accumulate within cells. However, enumerating multi-hit combinations bec…