Active microphase separation in mixtures of microtubules and tip-accumulating molecular motors

Kavli Affiliate: Daniel J. Needleman | First 5 Authors: Bezia Lemma, Noah P. Mitchell, Radhika Subramanian, Daniel J. Needleman, Zvonimir Dogic | Summary: Mixtures of microtubules and molecular motors form active materials with diverse dynamical behaviors that vary based on their constituents’ molecular properties. We map the non-equilibrium phase diagram of microtubules and tip-accumulating kinesin-4 […]


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Using a Cross-Task Grid of Linear Probes to Interpret CNN Model Predictions On Retinal Images

Kavli Affiliate: Michael P. Brenner | First 5 Authors: Katy Blumer, Subhashini Venugopalan, Michael P. Brenner, Jon Kleinberg, | Summary: We analyze a dataset of retinal images using linear probes: linear regression models trained on some "target" task, using embeddings from a deep convolutional (CNN) model trained on some "source" task as input. We use […]


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Developmental Stage Classification of Embryos Using Two-Stream Neural Network with Linear-Chain Conditional Random Field

Kavli Affiliate: Daniel Needleman | First 5 Authors: Stanislav Lukyanenko, Won-Dong Jang, Donglai Wei, Robbert Struyven, Yoon Kim | Summary: The developmental process of embryos follows a monotonic order. An embryo can progressively cleave from one cell to multiple cells and finally transform to morula and blastocyst. For time-lapse videos of embryos, most existing developmental […]


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Comparing Supervised Models And Learned Speech Representations For Classifying Intelligibility Of Disordered Speech On Selected Phrases

Kavli Affiliate: Michael P. Brenner | First 5 Authors: Subhashini Venugopalan, Joel Shor, Manoj Plakal, Jimmy Tobin, Katrin Tomanek | Summary: Automatic classification of disordered speech can provide an objective tool for identifying the presence and severity of speech impairment. Classification approaches can also help identify hard-to-recognize speech samples to teach ASR systems about the […]


Continue.. Comparing Supervised Models And Learned Speech Representations For Classifying Intelligibility Of Disordered Speech On Selected Phrases

Temporal Evolution of Flow in Pore-Networks: From Homogenization to Instability

Kavli Affiliate: Ariel Amir | First 5 Authors: Ahmad Zareei, Deng Pan, Ariel Amir, , | Summary: We study the dynamics of flow-networks in porous media using a pore-network model. First, we consider a class of erosion dynamics assuming a constitutive law depending on flow rate, local velocities, or shear stress at the walls. We […]


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Improving holographic particle characterization by modeling spherical aberration

Kavli Affiliate: Vinothan Manoharan | First 5 Authors: Caroline Martin, Brian Leahy, Vinothan Manoharan, , | Summary: Holographic microscopy combined with forward modeling and inference allows colloidal particles to be characterized and tracked in three dimensions with high precision. However, current models ignore the effects of optical aberrations on hologram formation. We investigate the effects […]


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Quasicrystal kirigami

Kavli Affiliate: L. Mahadevan | First 5 Authors: Lucy Liu, Gary P. T. Choi, L. Mahadevan, , | Summary: Kirigami, the art of introducing cuts in thin sheets to enable articulation and deployment, has become an inspiration for a novel class of mechanical metamaterials with unusual properties. Here we complement the use of periodic tiling […]


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Cetacean Translation Initiative: a roadmap to deciphering the communication of sperm whales

Kavli Affiliate: Robert J. Wood | First 5 Authors: Jacob Andreas, Gašper Beguš, Michael M. Bronstein, Roee Diamant, Denley Delaney | Summary: The past decade has witnessed a groundbreaking rise of machine learning for human language analysis, with current methods capable of automatically accurately recovering various aspects of syntax and semantics – including sentence structure […]


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Inferring simple but precise quantitative models of human oocyte and early embryo development

Kavli Affiliate: Daniel Needleman | First 5 Authors: Brian D Leahy, Catherine Racowsky, Daniel Needleman, , | Summary: Macroscopic, phenomenological models have proven useful as concise framings of our understandings in fields from statistical physics to economics to biology. Constructing a phenomenological model for development would provide a framework for understanding the complicated, regulatory nature […]


Continue.. Inferring simple but precise quantitative models of human oocyte and early embryo development

Inferring simple but precise quantitative models of human oocyte and early embryo development

Kavli Affiliate: Daniel Needleman | First 5 Authors: Brian D Leahy, Catherine Racowsky, Daniel Needleman, , | Summary: Macroscopic, phenomenological models have proven useful as concise framings of our understandings in fields from statistical physics to economics to biology. Constructing a phenomenological model for development would provide a framework for understanding the complicated, regulatory nature […]


Continue.. Inferring simple but precise quantitative models of human oocyte and early embryo development