Zobrazeno 1 - 10
of 4 525
pro vyhledávání: '"A. Brockschmidt"'
Autor:
Hanks, Patrick, Lenarčič, Simon
Publikováno v:
Dictionary of American Family Names, 2 ed., 2022.
Autor:
Klein, Leon, Foong, Andrew Y. K., Fjelde, Tor Erlend, Mlodozeniec, Bruno, Brockschmidt, Marc, Nowozin, Sebastian, Noé, Frank, Tomioka, Ryota
Molecular dynamics (MD) simulation is a widely used technique to simulate molecular systems, most commonly at the all-atom resolution where equations of motion are integrated with timesteps on the order of femtoseconds ($1\textrm{fs}=10^{-15}\textrm{
Externí odkaz:
http://arxiv.org/abs/2302.01170
Learning program semantics from raw source code is challenging due to the complexity of real-world programming language syntax and due to the difficulty of reconstructing long-distance relational information implicitly represented in programs using i
Externí odkaz:
http://arxiv.org/abs/2206.06986
Learning from structured data is a core machine learning task. Commonly, such data is represented as graphs, which normally only consider (typed) binary relationships between pairs of nodes. This is a substantial limitation for many domains with high
Externí odkaz:
http://arxiv.org/abs/2201.12113
Autor:
Hanks, Patrick
Publikováno v:
Dictionary of American Family Names, 1 ed., 2006.
Autor:
Guo, Daya, Svyatkovskiy, Alexey, Yin, Jian, Duan, Nan, Brockschmidt, Marc, Allamanis, Miltiadis
Code completion is usually cast as a language modelling problem, i.e., continuing an input in a left-to-right fashion. However, in practice, some parts of the completion (e.g., string literals) may be very hard to predict, whereas subsequent parts di
Externí odkaz:
http://arxiv.org/abs/2106.10158
Machine learning-based program analyses have recently shown the promise of integrating formal and probabilistic reasoning towards aiding software development. However, in the absence of large annotated corpora, training these analyses is challenging.
Externí odkaz:
http://arxiv.org/abs/2105.12787
Publikováno v:
DE: Das Elektrohandwerk. 11/19/2024, p42-45. 4p.
Autor:
Maziarz, Krzysztof, Jackson-Flux, Henry, Cameron, Pashmina, Sirockin, Finton, Schneider, Nadine, Stiefl, Nikolaus, Segler, Marwin, Brockschmidt, Marc
Recent advancements in deep learning-based modeling of molecules promise to accelerate in silico drug discovery. A plethora of generative models is available, building molecules either atom-by-atom and bond-by-bond or fragment-by-fragment. However, m
Externí odkaz:
http://arxiv.org/abs/2103.03864
Neural sequence-to-sequence models are finding increasing use in editing of documents, for example in correcting a text document or repairing source code. In this paper, we argue that common seq2seq models (with a facility to copy single tokens) are
Externí odkaz:
http://arxiv.org/abs/2006.04771