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We exploit the storage capacity of modern Hopfield networks to solve a challenging multiple instance learning (MIL) problem in computational biology: immune repertoire classification. Published at NeurIPS 2020 (Spotlight).

We propose RUDDER, a novel reinforcement learning approach for delayed rewards in finite Markov decision processes. Published at NeurIPS 2019.