Spool-nematic ordering of dsDNA and dsRNA under confinement

Kavli Affiliate: Rudolf Podgornik | First 5 Authors: James Farrell, Jure Dobnikar, Rudolf Podgornik, Tine Curk, | Summary: The ability of double-stranded DNA or RNA to locally melt and form kinks leads to strong non-linear elasticity effects that qualitatively affect their packing in confined spaces. Using analytical theory and numerical simulation we show that kink […]


Continue.. Spool-nematic ordering of dsDNA and dsRNA under confinement

VecFusion: Vector Font Generation with Diffusion

Kavli Affiliate: Matthew Fisher | First 5 Authors: Vikas Thamizharasan, Difan Liu, Shantanu Agarwal, Matthew Fisher, Michael Gharbi | Summary: We present VecFusion, a new neural architecture that can generate vector fonts with varying topological structures and precise control point positions. Our approach is a cascaded diffusion model which consists of a raster diffusion model […]


Continue.. VecFusion: Vector Font Generation with Diffusion

VecFusion: Vector Font Generation with Diffusion

Kavli Affiliate: Matthew Fisher | First 5 Authors: Vikas Thamizharasan, Difan Liu, Shantanu Agarwal, Matthew Fisher, Michael Gharbi | Summary: We present VecFusion, a new neural architecture that can generate vector fonts with varying topological structures and precise control point positions. Our approach is a cascaded diffusion model which consists of a raster diffusion model […]


Continue.. VecFusion: Vector Font Generation with Diffusion

VecFusion: Vector Font Generation with Diffusion

Kavli Affiliate: Matthew Fisher | First 5 Authors: Vikas Thamizharasan, Difan Liu, Shantanu Agarwal, Matthew Fisher, Michael Gharbi | Summary: We present VecFusion, a new neural architecture that can generate vector fonts with varying topological structures and precise control point positions. Our approach is a cascaded diffusion model which consists of a raster diffusion model […]


Continue.. VecFusion: Vector Font Generation with Diffusion

CARAT: Contrastive Feature Reconstruction and Aggregation for Multi-modal Multi-label Emotion Recognition

Kavli Affiliate: Cheng Peng | First 5 Authors: Cheng Peng, Ke Chen, Lidan Shou, Gang Chen, | Summary: Multi-modal multi-label emotion recognition (MMER) aims to identify relevant emotions from multiple modalities. The challenge of MMER is how to effectively capture discriminative features for multiple labels from heterogeneous data. Recent studies are mainly devoted to exploring […]


Continue.. CARAT: Contrastive Feature Reconstruction and Aggregation for Multi-modal Multi-label Emotion Recognition

CARAT: Contrastive Feature Reconstruction and Aggregation for Multi-Modal Multi-Label Emotion Recognition

Kavli Affiliate: Cheng Peng | First 5 Authors: Cheng Peng, Ke Chen, Lidan Shou, Gang Chen, | Summary: Multi-modal multi-label emotion recognition (MMER) aims to identify relevant emotions from multiple modalities. The challenge of MMER is how to effectively capture discriminative features for multiple labels from heterogeneous data. Recent studies are mainly devoted to exploring […]


Continue.. CARAT: Contrastive Feature Reconstruction and Aggregation for Multi-Modal Multi-Label Emotion Recognition

Secret extraction attacks against obfuscated IQP circuits

Kavli Affiliate: David Gross | First 5 Authors: David Gross, Dominik Hangleiter, , , | Summary: Quantum computing devices can now perform sampling tasks which, according to complexity-theoretic and numerical evidence, are beyond the reach of classical computers. This raises the question of how one can efficiently verify that a quantum computer operating in this […]


Continue.. Secret extraction attacks against obfuscated IQP circuits

Scaling analysis of two-dimensional random singlet state in magnetic field

Kavli Affiliate: Long Zhang | First 5 Authors: Chen Peng, Long Zhang, , , | Summary: Quenched randomness strongly affects properties of magnetic materials. Two-dimensional (2D) random singlet (RS) states emerge in random $J$-$Q$ model by destroying valence bond solid order with spatial randomness. We examine the 2D RS state in magnetic field with quantum […]


Continue.. Scaling analysis of two-dimensional random singlet state in magnetic field

Scaling and data collapse of two-dimensional random singlet state in magnetic field

Kavli Affiliate: Long Zhang | First 5 Authors: Chen Peng, Long Zhang, , , | Summary: Quenched randomness strongly affects properties of magnetic materials. Two-dimensional (2D) random singlet (RS) states emerge in random $J$-$Q$ model by destroying valence bond solid order with spatial randomness. We examine the 2D RS state in magnetic field with quantum […]


Continue.. Scaling and data collapse of two-dimensional random singlet state in magnetic field