Physics-Inspired Equivariant Descriptors of Nonbonded Interactions von Huguenin-Dumittan, Kevin K., Loche, Philip, Haoran, Ni, Ceriotti, Michele

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Myofascial trigger points: the current evidence von Huguenin, Leesa K

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Completeness of atomic structure representations von Nigam, Jigyasa, Pozdnyakov, Sergey N., Huguenin-Dumittan, Kevin K., Ceriotti, Michele

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Expanding density-correlation machine learning representations for anisotropic coarse-grained particles von Lin, Arthur, Huguenin-Dumittan, Kevin K., Cho, Yong-Cheol, Nigam, Jigyasa, Cersonsky, Rose K.

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A smooth basis for atomistic machine learning von Bigi, Filippo, Huguenin-Dumittan, Kevin K., Ceriotti, Michele, Manolopoulos, David E.

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Physics-inspired Equivariant Descriptors of Non-bonded Interactions von Huguenin-Dumittan, Kevin K, Loche, Philip, Haoran, Ni, Ceriotti, Michele

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Expanding Density-Correlation Machine Learning Representations for Anisotropic Coarse-Grained Particles von Lin, Arthur Y, Huguenin-Dumittan, Kevin K, Cho, Yong-Cheol, Nigam, Jigyasa, Cersonsky, Rose K

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Adaptive energy reference for machine-learning models of the electronic density of states von How, Wei Bin, Chong, Sanggyu, Grasselli, Federico, Huguenin-Dumittan, Kevin K, Ceriotti, Michele

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Fast and flexible range-separated models for atomistic machine learning von Loche, Philip, Huguenin-Dumittan, Kevin K, Honarmand, Melika, Xu, Qianjun, Rumiantsev, Egor, How, Wei Bin, Langer, Marcel F, Ceriotti, Michele

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Completeness of Atomic Structure Representations von Nigam, Jigyasa, Pozdnyakov, Sergey N, Huguenin-Dumittan, Kevin K, Ceriotti, Michele

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AntReckoning: Dead reckoning using interest modeling by pheromones von Yahyavi, A., Huguenin, K., Kemme, B.

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Cheat detection and prevention in P2P MOGs von Huguenin, K., Yahyavi, A., Kemme, B.

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THE EFFECT OF DRY NEEDLING OF GLUTEAL MUSCLES ON STRAIGHT LEG RAISE von Huguenin, L K, Brukner, P D, McCrory, P, Smith, P, Wajswelner, H

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Physics-inspired Equivariant Descriptors of Non-bonded Interactions von Huguenin-Dumittan, Kevin K, Loche, Philip, Ni Haoran, Ceriotti, Michele

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On tracking freeriders in gossip protocols von Guerraoui, R., Huguenin, K., Kermarrec, A.-M., Monod, M.

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Adaptive energy reference for machine-learning models of the electronic density of states von Wei Bin How, Chong, Sanggyu, Grasselli, Federico, Huguenin-Dumittan, Kevin K, Ceriotti, Michele

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Expanding Density-Correlation Machine Learning Representations for Anisotropic Coarse-Grained Particles von Lin, Arthur Y, Huguenin-Dumittan, Kevin K, Cho, Yong-Cheol, Nigam, Jigyasa, Cersonsky, Rose K

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GosSkip, an Efficient, Fault-Tolerant and Self Organizing Overlay Using Gossip-based Construction and Skip-Lists Principles von Guerraoui, R., Handurukande, S.B., Kermarrec, A.-M., Le Fessant, F., Huguenin, K., Riviere, E.

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Fast and flexible range-separated models for atomistic machine learning von Loche, Philip, Huguenin-Dumittan, Kevin K, Honarmand, Melika, Xu, Qianjun, Rumiantsev, Egor, Wei Bin How, Langer, Marcel F, Ceriotti, Michele

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GosSkip, an Efficient, Fault-Tolerant and Self Organizing Overlay Using Gossip-based Construction and Skip-Lists principles von Guerraoui, R, Handurukande, S, Huguenin, K, Kermarrec, A.-M, Le Fessant, F, Riviere, E

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