Coarse-graining active tension nets with discrete conformal geometry

Kavli Affiliate: Boris I. Shraiman | Summary:In contrast to inert materials, living cells use molecular motors to generate forces independently of elastic strain. How do local active forces translate into large-scale shape, and what are the mechanical properties of the resulting "living matter"? Here, we address these questions within the active tension network (ATN) model […]


Continue.. Coarse-graining active tension nets with discrete conformal geometry

Coarse-graining Active Tension Nets using discrete conformal geometry

Kavli Affiliate: Boris I. Shraiman | Summary:Connecting cell behavior to tissue shape and mechanics is a fundamental challenge in the physics of morphogenesis. In epithelia, cell-cell interfaces are under internal active tension, and cytoskeletal turnover precludes a fixed "reference shape" that could anchor conventional elastic theory. This "tension-first" setting calls for a different approach. Here, […]


Continue.. Coarse-graining Active Tension Nets using discrete conformal geometry

Chirality and quasi-long-range order in finite-flux Gutzwiller states for magnetized frustrated magnets

Kavli Affiliate: Leon Balents | Summary:We study Gutzwiller-projected wavefunctions for triangular-lattice U(1) Dirac spin liquids in a Zeeman field, where we allow the U(1) gauge field to develop a gauge flux, resulting in (spin-split) spinon Landau levels. We find that at a given magnetization, the optimal candidate state has a finite flux chosen such that […]


Continue.. Chirality and quasi-long-range order in finite-flux Gutzwiller states for magnetized frustrated magnets

Emergent Elasticity and Quasiconformal Flow in Active Solids

Kavli Affiliate: Boris I. Shraiman | Summary:A constitutive relation between stress and strain relative to a reference state is the basic assumption of elasticity theory. However, in living matter, force generation is governed by motor molecule activity, which does not depend on deformation relative to a reference. A different approach is needed to describe how […]


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Elasticity without a reference state: continuum mechanics of active tension nets

Kavli Affiliate: Boris I. Shraiman | Summary:A constitutive relation between stress and strain relative to a reference state is the basic assumption of elasticity theory. However, in living matter, stress is governed by (motor molecule) activity rather than a constitutive law. What paradigm takes the place of elasticity in this setting? Here, we derive a […]


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DuetSVG: Unified Multimodal SVG Generation with Internal Visual Guidance

Kavli Affiliate: Matthew Fisher | Summary:Recent vision-language model (VLM)-based approaches have achieved impressive results on SVG generation. However, because they generate only text and lack visual signals during decoding, they often struggle with complex semantics and fail to produce visually appealing or geometrically coherent SVGs. We introduce DuetSVG, a unified multimodal model that jointly generates […]


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RELIC: Interactive Video World Model with Long-Horizon Memory

Kavli Affiliate: Matthew Fisher | Summary:A truly interactive world model requires three key ingredients: real-time long-horizon streaming, consistent spatial memory, and precise user control. However, most existing approaches address only one of these aspects in isolation, as achieving all three simultaneously is highly challenging-for example, long-term memory mechanisms often degrade real-time performance. In this work, […]


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Information dynamics and symmetry breaking in generic monitored $mathbbZ_2$-symmetric open quantum systems

Kavli Affiliate: Matthew Fisher | Summary:We investigate the steady-state phases of generic $mathbbZ_2$-symmetric monitored, open quantum dynamics. We describe the phases systematically in terms of both information-theoretic diagnostics and spontaneous breaking of strong and weak symmetries of the dynamics. We find a completely broken phase where information is retained by the quantum system, a strong-to-weak […]


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Detecting Model Misspecification in Bayesian Inverse Problems via Variational Gradient Descent

Kavli Affiliate: Matthew Fisher | Summary:Bayesian inference is optimal when the statistical model is well-specified, while outside this setting Bayesian inference can catastrophically fail; accordingly a wealth of post-Bayesian methodologies have been proposed. Predictively oriented (PrO) approaches lift the statistical model $P_θ$ to an (infinite) mixture model $int P_θ; mathrmdQ(θ)$ and fit this predictive distribution […]


Continue.. Detecting Model Misspecification in Bayesian Inverse Problems via Variational Gradient Descent

Detecting Model Misspecification in Bayesian Inverse Problems via Variational Gradient Descent

Kavli Affiliate: Matthew Fisher | Summary:Bayesian inference is optimal when the statistical model is well-specified, while outside this setting Bayesian inference can catastrophically fail; accordingly a wealth of post-Bayesian methodologies have been proposed. Predictively oriented (PrO) approaches lift the statistical model $P_θ$ to an (infinite) mixture model $int P_θ; mathrmdQ(θ)$ and fit this predictive distribution […]


Continue.. Detecting Model Misspecification in Bayesian Inverse Problems via Variational Gradient Descent