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Iranian Nobel laureate handed further prison sentence, lawyer says

BBC News

Nobel Peace Prize winner Narges Mohammadi has been handed further prison sentences of seven-and-a-half years by an Iranian court, her lawyer has said. The human rights activist was sentenced to six years for gathering and collusion, and one-and-a-half years for propaganda activities by a court in the north-eastern city of Mashhad, Mostafa Nili announced on social media on Sunday. Mohammadi was arrested in December for making provocative remarks at a memorial ceremony, Iranian authorities said at the time. Her family said she was taken to hospital after being beaten during the arrest . The 53-year-old was made a Nobel laureate in 2023 for her activism against female oppression in Iran.


4d3525bc60ba1adc72336c0392d3d902-Paper-Conference.pdf

Neural Information Processing Systems

Wepostulate thatthevector ofFGW distances to a set of template graphs has a strong discriminative power, which is then fed to anon-linear classifier forfinalpredictions.


Appendices for: Gradient-based Hyperparameter Optimization Over Long Horizons Paul Micaelli University of Edinburgh {paul.micaelli}@ed.ac.uk Amos Storkey University of Edinburgh {a.storkey }@ed.ac.uk

Neural Information Processing Systems

Now we return to the second part of (9). This illustrates how tight the upper bound is. We use a GeForce RTX 2080 Ti GPU for all experiments. Instead, we always carve out a validation set from our training set. Figure 1 The batch size is set to 128, and 1000 fixed images are used for the validation data. Here we provide the raw hypergradients corresponding to the outer optimization shown in Appendices: Figure 1.




Graph Denoising Diffusion for Inverse Protein Folding

Neural Information Processing Systems

Moreover, we utilize amino acid replacement matrices for the diffusion forward process, encoding the biologically meaningful prior knowledge of amino acids from their spatial and sequential neighbors as well as themselves, which reduces the sampling space of the generative process.