On the fly ≈ On the fly
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Fly Cell Atlas: A single-nucleus transcriptomic atlas of the adult fruit fly Open
For more than 100 years, the fruit fly Drosophila melanogaster has been one of the most studied model organisms. Here, we present a single-cell atlas of the adult fly, Tabula Drosophilae , that includes 580,000 nuclei from 15 individually …
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Molecular Dynamics with On-the-Fly Machine Learning of Quantum-Mechanical Forces Open
We present a molecular dynamics scheme which combines first-principles and machine-learning (ML) techniques in a single information-efficient approach. Forces on atoms are either predicted by Bayesian inference or, if necessary, computed b…
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DroNet: Learning to Fly by Driving Open
Civilian drones are soon expected to be used in a wide variety of tasks, such as aerial surveillance, delivery, or monitoring of existing architectures. Nevertheless, their deployment in urban environments has so far been limited. Indeed, …
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Knowledge Distillation by On-the-Fly Native Ensemble Open
Knowledge distillation is effective to train small and generalisable network models for meeting the low-memory and fast running requirements. Existing offline distillation methods rely on a strong pre-trained teacher, which enables favoura…
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Predictability and hierarchy in <i>Drosophila</i> behavior Open
Significance How an animal chooses to order its activities—moving, grooming, resting, and so on—is essential to its ability to survive, adapt, and reproduce. Here we investigate the temporal pattern of behaviors performed by fruit flies, f…
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Constant-pH Molecular Dynamics Simulations for Large Biomolecular Systems Open
An increasingly important endeavor is to develop computational strategies that enable molecular dynamics (MD) simulations of biomolecular systems with spontaneous changes in protonation states under conditions of constant pH. The present w…
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What fuels the fly: Energy metabolism in <i>Drosophila</i> and its application to the study of obesity and diabetes Open
Drosophila is a useful model system to study the regulation of energy metabolism and its diseases like obesity and diabetes.
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Inclusion of Machine Learning Kernel Ridge Regression Potential Energy Surfaces in On-the-Fly Nonadiabatic Molecular Dynamics Simulation Open
We discuss a theoretical approach that employs machine learning potential energy surfaces (ML-PESs) in the nonadiabatic dynamics simulation of polyatomic systems by taking 6-aminopyrimidine as a typical example. The Zhu-Nakamura theory is …
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On-the-Fly CASPT2 Surface-Hopping Dynamics Open
We report the development of programs for on-the-fly surface-hopping dynamics simulations in the gas and condensed phases on the potential energy surfaces computed by multistate multireference perturbation theory (XMS-CASPT2) with full int…
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Knowledge Distillation by On-the-Fly Native Ensemble Open
Knowledge distillation is effective to train the small and generalisable network models for meeting the low-memory and fast running requirements. Existing offline distillation methods rely on a strong pre-trained teacher, which enables fav…
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Regio-selectivity prediction with a machine-learned reaction representation and on-the-fly quantum mechanical descriptors Open
Integrating feature learning and on-the-fly feather engineering enables fast and accurate reacitvity predictions using large or small dataset.
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Key Technologies and System Trade-offs for Detection and Localization of Amateur Drones Open
The use of amateur drones (ADrs) is expected to significantly increase over\nthe upcoming years. However, regulations do not allow such drones to fly over\nall areas, in addition to typical altitude limitations. As a result, there is\nan u…
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Blocks and Fuel: Frameworks for deep learning Open
We introduce two Python frameworks to train neural networks on large datasets: Blocks and Fuel. Blocks is based on Theano, a linear algebra compiler with CUDA-support. It facilitates the training of complex neural network models by providi…
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An Effective Approach to Unsupervised Machine Translation Open
While machine translation has traditionally relied on large amounts of parallel corpora, a recent research line has managed to train both Neural Machine Translation (NMT) and Statistical Machine Translation (SMT) systems using monolingual …
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On-the-Fly Bandwidth Reservation for 6TiSCH Wireless Industrial Networks Open
International audience
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Complementary mechanisms create direction selectivity in the fly Open
How neurons become sensitive to the direction of visual motion represents a classic example of neural computation. Two alternative mechanisms have been discussed in the literature so far: preferred direction enhancement, by which responses…
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What the fly’s nose tells the fly’s brain Open
Significance This work is significant for three reasons. First, a new way the brain represents information is identified, one in which the information present in a large population of neurons can be gotten from a small subset of any neuron…
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Machine Learning Configuration Interaction Open
We propose the concept of machine learning configuration interaction (MLCI) whereby an artificial neural network is trained on-the-fly to predict important new configurations in an iterative selected configuration interaction procedure. We…
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LiPyphilic: A Python Toolkit for the Analysis of Lipid Membrane Simulations Open
Molecular dynamics simulations are now widely used to study emergent phenomena in lipid membranes with complex compositions. Here, we present LiPyphilic-a fast, fully tested, and easy-to-install Python package for analyzing such simulation…
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OCTP: A Tool for On-the-Fly Calculation of Transport Properties of Fluids with the Order-<i>n</i>Algorithm in LAMMPS Open
We present a new plugin for LAMMPS for on-the-fly computation of transport properties (OCTP) in equilibrium molecular dynamics. OCTP computes the self- and Maxwell-Stefan diffusivities, bulk and shear viscosities, and thermal conductivitie…
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Strix: Explicit Reactive Synthesis Strikes Back! Open
Strix is a new tool for reactive LTL synthesis combining a direct translation of LTL formulas into deterministic parity automata (DPA) and an efficient, multi-threaded explicit state solver for parity games. In brief, Strix (1) decomposes …
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Aging Fly Cell Atlas identifies exhaustive aging features at cellular resolution Open
Aging is characterized by a decline in tissue function, but the underlying changes at cellular resolution across the organism remain unclear. Here, we present the Aging Fly Cell Atlas, a single-nucleus transcriptomic map of the whole aging…
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Constructing High-Dimensional Neural Network Potential Energy Surfaces for Gas–Surface Scattering and Reactions Open
While the ab initio molecular dynamics (AIMD) approach to gas–surface interaction has been instrumental in exploring important issues such as energy transfer and reactivity, it is only amenable to short-time events and a limited number of …
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Data-driven learning and prediction of inorganic crystal structures Open
Machine learning-based interatomic potentials, fitting energy landscapes “on the fly”, are emerging and promising tools for crystal structure prediction.
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Triangles bridge the scales: Quantifying cellular contributions to tissue deformation Open
In this article, we propose a general framework to study the dynamics and topology of cellular networks that capture the geometry of cell packings in two-dimensional tissues. Such epithelia undergo large-scale deformation during morphogene…
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BundleFusion: Real-time Globally Consistent 3D Reconstruction using On-the-fly Surface Re-integration Open
Real-time, high-quality, 3D scanning of large-scale scenes is key to mixed reality and robotic applications. However, scalability brings challenges of drift in pose estimation, introducing significant errors in the accumulated model. Appro…
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On-The-Fly Print Open
Current interactive fabrication tools offer tangible feedback by allowing users to work directly on the physical model, but they are slow because users need to participate in the physical instantiation of their designs. In contrast, CAD so…
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Come Fly with Me: An overview of dopamine receptors in <i>Drosophila melanogaster</i> Open
Dopamine (DA) receptors play critical roles in a wide range of behaviours, including sensory processing, motor function, reward and arousal. As such, aberrant DA signalling is associated with numerous neurological and psychiatric disorders…
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A brain-plausible neuromorphic on-the-fly learning system implemented with magnetic domain wall analog memristors Open
Magnetic analog memristor boosts new circuit design for a neuromorphic on-the-fly learning system.
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Real-ESRGAN: Training Real-World Blind Super-Resolution with Pure Synthetic Data Open
Though many attempts have been made in blind super-resolution to restore low-resolution images with unknown and complex degradations, they are still far from addressing general real-world degraded images. In this work, we extend the powerf…