Emergent Hidden Multipolar State in the Triangular Lattice Magnet TmZn2GaO5

Kavli Affiliate: Leon Balents | First 5 Authors: Matthew Ennis, Rabindranath Bag, Tessa Cookmeyer, Matthew B. Stone, Alexander I. Kolesnikov | Summary: TmZn2GaO5 is a newly synthesized triangular lattice magnet that exhibits a unique quantum phase characterized by strong Ising anisotropy, a pseudo-doublet crystal electric field ground state, and a low-energy gapped excitation at the […]


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How to Train Your Dragon: Automatic Diffusion-Based Rigging for Characters with Diverse Topologies

Kavli Affiliate: Matthew Fisher | First 5 Authors: Zeqi Gu, Difan Liu, Timothy Langlois, Matthew Fisher, Abe Davis | Summary: Recent diffusion-based methods have achieved impressive results on animating images of human subjects. However, most of that success has built on human-specific body pose representations and extensive training with labeled real videos. In this work, […]


Continue.. How to Train Your Dragon: Automatic Diffusion-Based Rigging for Characters with Diverse Topologies

Benchmarking of quantum and classical SDP relaxations for QUBO formulations of real-world logistics problems

Kavli Affiliate: David Gross | First 5 Authors: Birte Ostermann, Taylor Garnowski, Fabian Henze, Vaibhavnath Jha, Asra Dia | Summary: Quadratic unconstrained binary optimization problems (QUBOs) are intensively discussed in the realm of quantum computing and polynomial optimization. We provide a vast experimental study of semidefinite programming (SDP) relaxations of QUBOs using sums of squares […]


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Mean-Shift Distillation for Diffusion Mode Seeking

Kavli Affiliate: Matthew Fisher | First 5 Authors: Vikas Thamizharasan, Nikitas Chatzis, Iliyan Georgiev, Matthew Fisher, Difan Liu | Summary: We present mean-shift distillation, a novel diffusion distillation technique that provides a provably good proxy for the gradient of the diffusion output distribution. This is derived directly from mean-shift mode seeking on the distribution, and […]


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Solving quadratic binary optimization problems using quantum SDP methods: Non-asymptotic running time analysis

Kavli Affiliate: David Gross | First 5 Authors: Fabian Henze, Viet Tran, Birte Ostermann, Richard Kueng, Timo de Wolff | Summary: Quantum computers can solve semidefinite programs (SDPs) using resources that scale better than state-of-the-art classical methods as a function of the problem dimension. At the same time, the known quantum algorithms scale very unfavorably […]


Continue.. Solving quadratic binary optimization problems using quantum SDP methods: Non-asymptotic running time analysis

Active Solids: Defect Self-Propulsion Without Flow

Kavli Affiliate: Mark J. Bowick | First 5 Authors: Fridtjof Brauns, Myles O’Leary, Arthur Hernandez, Mark J. Bowick, M. Cristina Marchetti | Summary: The self-propulsion of +1/2 topological defects is a hallmark of active nematic fluids, where the defects are advected by the flow field they themselves generate. In this paper we propose a minimal […]


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Enabling High-Bandwidth Coherent Modulation Through Scalable Lithium Niobate Resonant Devices

Kavli Affiliate: John E. Bowers | First 5 Authors: Sadra Rahimi Kari, Paolo Pintus, John E. Bowers, Matt Robbins, Nathan Youngblood | Summary: We present a compact, resonant-based coherent modulator on a thin-film lithium niobate (TFLN) platform, addressing the growing demand for high-speed, energy-efficient modulators in modern telecommunications. The design incorporates Mach-Zehnder Interferometers (MZIs) with […]


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ShapeShifter: 3D Variations Using Multiscale and Sparse Point-Voxel Diffusion

Kavli Affiliate: Matthew Fisher | First 5 Authors: Nissim Maruani, Wang Yifan, Matthew Fisher, Pierre Alliez, Mathieu Desbrun | Summary: This paper proposes ShapeShifter, a new 3D generative model that learns to synthesize shape variations based on a single reference model. While generative methods for 3D objects have recently attracted much attention, current techniques often […]


Continue.. ShapeShifter: 3D Variations Using Multiscale and Sparse Point-Voxel Diffusion

ShapeShifter: 3D Variations Using Multiscale and Sparse Point-Voxel Diffusion

Kavli Affiliate: Matthew Fisher | First 5 Authors: Nissim Maruani, Wang Yifan, Matthew Fisher, Pierre Alliez, Mathieu Desbrun | Summary: This paper proposes ShapeShifter, a new 3D generative model that learns to synthesize shape variations based on a single reference model. While generative methods for 3D objects have recently attracted much attention, current techniques often […]


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Ejecta Wakes from Companion Interaction in Type Ia Supernova Remnants

Kavli Affiliate: Lars Bildsten | First 5 Authors: Logan J. Prust, Gabriel Kumar, Lars Bildsten, , | Summary: Type Ia supernovae are triggered by accretion onto a white dwarf from a companion which is most likely Roche lobe-filling at the time of the explosion. The collision between the ejecta and a surviving companion carves out […]


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