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MG-Net: Learn to Customize QAOA with Circuit Depth Awareness Y ang Qian
Despite these advancements, QAOA's practical efficacy is challenged by the quantum coherence limits of modern quantum devices, as there is a ceiling on the allowable maximum circuit depth
ToDD: TopologicalCompoundFingerprintingin Computer-AidedDrugDiscovery
In computer-aided drug discovery (CADD), virtual screening (VS) is used for identifying the drug candidates that are most likely tobind toamolecular target inalargelibraryofcompounds.
Generalized Off-Policy Actor-Critic
Shangtong Zhang, Wendelin Boehmer, Shimon Whiteson
Neural Information Processing Systems http://nips.cc/
Adversarial Robustness through Local Linearization
Chongli Qin, James Martens, Sven Gowal, Dilip Krishnan, Krishnamurthy Dvijotham, Alhussein Fawzi, Soham De, Robert Stanforth, Pushmeet Kohli
Adversarial training is an effective methodology to train deep neural networks which arerobustagainstadversarial, norm-bounded perturbations. However,the computational cost of adversarial training grows prohibitively as the size of the model and number of input dimensions increase.
Unsupervised Emergence of Egocentric Spatial Structure from Sensorimotor Prediction
Alban Laflaquière, Michael Garcia Ortiz
Neural Information Processing Systems http://nips.cc/