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  1. Characterizing out-of-distribution generalization of neural networks: application to the disordered Su-Schrieffer-Heeger model

    Publication

  2. Nonperturbative Nonlinear Transport in a Floquet-Weyl Semimetal

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  3. Deconstructing the Goldilocks Zone of Neural Network Initialization

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  4. Topological superconductivity from repulsive interactions in twisted WSe

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  5. Efficiency of neural quantum states in light of the quantum geometric tensor

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  6. Cavity Spectroscopy for Strongly Correlated Systems

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  7. Monte Carlo Methods in the Manifold of Hartree-Fock-Bogoliubov Wave Functions

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  8. Photon Many-body Dispersion: an Exchange-correlation Functional for Strongly Coupled Light-matter Systems

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  9. The Emotion Dysregulation Inventory-Young Child: Psychometric properties and item response theory calibration in 2- to 5-year-olds.

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  10. Simulating Polaritonic Ground States on Noisy Quantum Devices

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  11. Ab Initio Calculations of Quantum Light–Matter Interactions in General Electromagnetic Environments

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  12. Classical Shadows for Quantum Process Tomography on Near-term Quantum Computers

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  13. Efficient Tensor Network Simulation of IBM’s Eagle Kicked Ising Experiment

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  14. Magnetism and metallicity in moirè transition metal dichalcogenides

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  15. Stochastic Optimal Control Matching

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    Stochastic optimal control, which has the goal of driving the behavior of noisy systems, is broadly applicable in science, engineering and artificial intelligence. Our work introduces Stochastic Optimal …

  16. Learning High-Dimensional McKean–Vlasov Forward-Backward Stochastic Differential Equations with General Distribution Dependence

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    One of the core problems in mean-field control and mean-field games is to solve the corresponding McKean–Vlasov forward-backward stochastic differential equations (MV-FBSDEs). Most …

  17. Directional Smoothness and Gradient Methods: Convergence and Adaptivity

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    We develop new sub-optimality bounds for gradient descent (GD) that depend on the conditioning of the objective along the path of optimization, rather than on global, worst …

  18. Adaptive micro-locomotion in a dynamically changing environment via context detection

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    Substantial efforts have exploited reinforcement learning (RL) in the development of micro-robotic locomotion. These RL-powered micro-robots are capable of learning a locomotory policy based on …

  19. Hydrodynamics of a multicomponent vesicle under strong confinement

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    We numerically investigate the hydrodynamics and membrane dynamics of a multicomponent vesicle in two strongly confined geometries. This serves as a simplified model for red blood cells undergoing …

  20. Re-consenting pediatric research participants as legal adulthood approaches: Lessons from the SPARK autism study.

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  21. Uniform approximation of common Gaussian process kernels using equispaced Fourier grids

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    The high efficiency of a recently proposed method for computing with Gaussian processes relies on expanding a (translationally invariant) covariance kernel into complex exponentials, with frequencies lying on …

  22. A new provably stable weighted state redistribution algorithm

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    We propose a practical finite volume method on cut cells using state redistribution. Our algorithm is provably monotone, total variation diminishing, and GKS (Gustafsson, Kreiss, Sundström) stable in …

  23. A new version of the adaptive fast Gauss transform for discrete and continuous sources

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    We present a new version of the fast Gauss transform (FGT) for discrete and continuous sources. Classical Hermite expansions are avoided entirely, making use only of the plane …

  24. Laser ablation and fluid flows reveal the mechanism behind spindle and centrosome positioning

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    Few techniques are available for studying the nature of forces that drive subcellular dynamics. Here we develop two complementary ones. The first is femtosecond stereotactic laser ablation, which …

  25. Implicit Adaptive Mesh Refinement for Dispersive Tsunami Propagation

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    We present an algorithm to solve the dispersive depth-averaged Serre–Green–Naghdi equations using patch-based adaptive mesh refinement. These equations require adding additional higher derivative terms …

  26. A high-order fast direct solver for surface PDEs

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    We introduce a fast direct solver for variable-coefficient elliptic PDEs on surfaces based on the hierarchical Poincaré–Steklov method. The method takes as input an unstructured, high …

  27. Genetic variants in DDX53 contribute to autism spectrum disorder associated with the Xp22.11 locus

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  28. Integrating causal discovery and clinically-relevant insights to explore directional relationships between autistic features, sex at birth, and cognitive abilities.

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  29. Influence of surface viscosities on the electrodeformation of a prolate viscous drop

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    Contaminants and other agents are often present at the interface between two fluids, giving rise to rheological properties such as surface shear and dilatational viscosities. The dynamics of …

  30. Keypoint-MoSeq: parsing behavior by linking point tracking to pose dynamics.

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  31. Early childhood aggression in autistic and non-autistic preschoolers: Prevalence, topography, and relationship to emotional reactivity.

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  32. ANKS1B encoded AIDA-1 regulates social behaviors by controlling oligodendrocyte function.

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  33. Prebifurcation enhancement of imbibition-drainage hysteresis cycles

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    The efficient transport of fluids through disordered media requires a thorough understanding of how the driving rate affects two-phase interface propagation. Despite our understanding of front dynamics …

  34. Effectiveness of multimodal participant recruitment in SPARK, a large, online longitudinal research study of autism.

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  35. Interpretable neural architecture search and transfer learning for understanding CRISPR–Cas9 off-target enzymatic reactions

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    Finely-tuned enzymatic pathways control cellular processes, and their dysregulation can lead to disease. Creating predictive and interpretable models for these pathways is challenging because of the complexity …

  36. Analysis of the human kidney transcriptome and plasma proteome identifies markers of proximal tubule maladaptation to injury

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    Acute kidney injury (AKI) is a major risk factor for long-term adverse outcomes, including chronic kidney disease. In mouse models of AKI, maladaptive repair of the injured …

  37. Explainable Equivariant Neural Networks for Particle Physics: PELICAN

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    PELICAN is a novel permutation equivariant and Lorentz invariant or covariant aggregator network designed to overcome common limitations found in architectures applied to particle physics problems. Compared to …

  38. Soft matter roadmap

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    Soft materials are usually defined as materials made of mesoscopic entities, often self-organised, sensitive to thermal fluctuations and to weak perturbations. Archetypal examples are colloids, polymers, amphiphiles …

  39. Provable convergence guarantees for black-box variational inference

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    Black-box variational inference is widely used in situations where there is no proof that its stochastic optimization succeeds. We suggest this is due to a theoretical gap …

  40. Building a "trap model" of glassy dynamics from a local structural predictor of rearrangements

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    Here we introduce a variation of the trap model of supercooled liquids based on softness, a particle-based variable identified by machine learning that quantifies the local structural …

  41. Confirmations, correlatons and instabilities of a flexible fiber in an active fluid

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    Fluid-structure interactions between active and passive components are important for many biological systems to function. A particular example is chromatin in the cell nucleus, where ATP-powered …

  42. Uniqueness and characteristic flow for a non strictly convex singular variational problem

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    This work addresses the question of uniqueness of the minimizers of a convex but not strictly convex integral functional with linear growth in a two-dimensional setting. The …

  43. Open dataset of theory of mind reasoning in early to middle childhood.

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  44. Sharp error estimates for target measure diffusion maps with applications to the committor problem

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    We obtain asymptotically sharp error estimates for the consistency error of the Target Measure Diffusion map (TMDmap) (Banisch et al. 2020), a variant of diffusion maps featuring importance …

  45. Wearable biosensing to predict imminent aggressive behavior in psychiatric inpatient youths with autism.

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  46. Self-report measurement of well-being in autistic adults: Psychometric properties of the PERMA Profiler

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  47. Multimodal pathways to joint attention in infants with a familial history of autism.

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  48. Tunable Tesla-scale magnetic attosecond pulses through ring-current gating

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