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Recent Submissions 

  1. Hingepoint emergence in mammalian spinal neurulation 

    de Goederen, Veerle; Vetter, Roman; McDole, Katie; et al. (2021)
    bioRxiv
    Working Paper

  2. Development of a 3D atlas of the embryonic pancreas for topological and quantitative analysis of heterologous cell interactions 

    Glorieux, Laura; Sapala, Aleksandra; Willnow, David; et al. (2021)
    bioRxiv
    Working Paper

  3. Inference of Morphogen Gradient Precision from Molecular Noise Data 

    Vetter, Roman; Iber, Dagmar (2021)
    bioRxiv
    Working Paper

  4. De Finetti Theorems for Quantum Conditional Prob- ability Distributions with Symmetry. 

    Jandura, Sven; Tan, Ying Zhe Ernest (2021)
    Working Paper

  5. Fidelity Bounds for Device-Independent Advantage Distillation. 

    Hahn, Thomas; Tan, Ying Zhe Ernest (2021)
    Working Paper

  6. A Data-Centric Optimization Framework for Machine Learning 

    Rausch, Oliver; Ben-Nun, Tal; Dryden, Nikoli; et al. (2021)
    arXiv
    Rapid progress in deep learning is leading to a diverse set of quickly changing models, with a dramatically growing demand for compute. However, as frameworks specialize optimization to patterns in popular networks, they implicitly constrain novel and diverse models that drive progress in research. We empower deep learning researchers by defining a flexible and user-customizable pipeline for optimizing training of arbitrary deep neural ...
    Working Paper

  7. Motif Prediction with Graph Neural Networks 

    Besta, Maciej; Grob, Raphael; Miglioli, Cesare; et al. (2021)
    arXiv
    Link prediction is one of the central problems in graph mining. However, recent studies highlight the importance of higher-order network analysis, where complex structures called motifs are the first-class citizens. We first show that existing link prediction schemes fail to effectively predict motifs. To alleviate this, we establish a general motif prediction problem and we propose several heuristics that assess the chances for a ...
    Working Paper

  8. Neural Parameter Allocation Search 

    Plummer, Bryan A.; Dryden, Nikoli; Frost, Julius; et al. (2021)
    arXiv
    Fitting a model into GPU memory during training is an increasing concern as models continue to grow. Parameter sharing can reduce memory requirements, but existing methods only share parameters between identical layers, limiting their impact. This paper removes these restrictions with a novel task called Neural Parameter Allocation Search (NPAS), where the goal is to generate weights for a network using a given parameter budget. NPAS ...
    Working Paper

  9. Single-cell RNA sequencing unveils intestinal eosinophil development and specialization 

    Gurtner, Alessandra; Borrelli, Costanza; Núñez, Nicolás G.; et al. (2021)
    Working Paper

  10. Modeling and Control of an Omnidirectional Micro Aerial Vehicle Equipped with a Soft Robotic Arm 

    Szász, R; Allenspach M., /; Han M., /; et al. (2021)
    arXiv preprint - arXiv:2111.03111
    Working Paper

  11. Learning Material Parameters and Hydrodynamics of Soft Robotic Fish via Differentiable Simulation 

    Zhang, J.-Z.; Zhang, Y.; Ma, P.; et al. (2021)
    arXiv:2109.14855
    Working Paper

  12. Adaptive Control of a Soft Continuum Manipulator 

    Kazemipour, A; Fischer, O.; Toshimitsu, Yasunori; et al. (2021)
    arXiv:2109.11388
    Working Paper

  13. A Robust Adaptive Approach to Dynamic Control of Soft Continuum Manipulators 

    Kazemipour, A; Fischer, O; Toshimitsu, Yasunori; et al. (2021)
    arXiv:2109.11388
    Working Paper

  14. High-throughput identification of RNA localization elements reveals a regulatory role for A/G rich sequences 

    Arora, Ankita; Gutierrez, Roberto Castro; Eletto, Davide; et al. (2021)
    Working Paper

  15. SoPrA: Fabrication & Dynamical Modeling of a Scalable Soft Continuum Robotic Arm with Integrated Proprioceptive Sensing 

    Toshimitsu, Yasunori; Wong, KW; Buchner, Thomas; et al. (2021)
    arXiv:2103.10726
    Working Paper

  16. Using Re-election Thresholds to Curb Political Polarization 

    Gersbach, Hans; Tejada, Oriol; Muller, Philippe (2021)
    CEPR Discussion Papers
    Working Paper

  17. Gainers and Losers from Market Integration 

    Gersbach, Hans; Haller, Hans (2021)
    CEPR Discussion Papers
    Working Paper

  18. Who Produces the Robots? 

    Gersbach, Hans; Schmassmann, Samuel (2021)
    CEPR Discussion Papers
    Working Paper

  19. Contingent Contracts in Banking: Insurance or Risk Magnification? 

    Gersbach, Hans (2021)
    CEPR Discussion Papers
    Working Paper

  20. CD8+ T cell signature in acute SARS-CoV-2 infection identifies memory precursors 

    Adamo, Sarah; Michler, Jan; Zurbuchen, Yves; et al. (2021)
    Working Paper

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