Estimates intrinsic dimension without distances, outperforming other methods.
problem Estimating intrinsic dimension for efficient data processing.
method Uses binary adjacency matrices based on a random connection model.
result Asymptotic distribution and rate of convergence specified.
We summarize our axioms for higher categories, and describe the blob complex. Fixing an n-category C, the blob complex associates a chain complex B_*(W;C)$ to any n-manifold W. The 0-th homology of this chain complex recovers the usual topological quantum field theory invariants of W. The higher homology groups should …
BLoB fine-tunes LLMs with Bayesian methods to improve uncertainty estimation.
problem Overconfidence in LLMs during inference for domain-specific tasks.
method Continuous Bayesian low-rank adaptation during fine-tuning.
result BLoB improves generalization and uncertainty estimation in LLMs.
Given an n-manifold M and an n-category C, we define a chain complex (the "blob complex") B_*(M;C). The blob complex can be thought of as a derived category analogue of the Hilbert space of a TQFT, and as a generalization of Hochschild homology to n-categories and n-manifolds. It enjoys a number of nice formal properti…
Computes invariants distinguishing between immersions and embeddings of doodles and blobs on surfaces.
problem Distinguishing between immersions and embeddings of doodles and blobs on surfaces.
method Regular embeddings, bordisms, and exact sequences of abelian groups.
result Exact sequence describing bordisms of immersions and embeddings of doodles on A=RimesI. New definition of skein lasagna module for specific 4-manifolds.
problem Defining a new homology theory for specific 4-manifolds.
method Elementary definition using diagrams in the 4-manifold.
result Explicit calculations for disk bundles over S^2.
Study how large-scale flows align small-scale vortices in 3D Euler equations.
problem Understanding how large-scale flows align small-scale vortices in 3D Euler equations.
method Constructing a Lagrangian coordinate to identify when the Lie bracket is zero and investigating the locality of the pressure term.
result Clarified conditions under which small-scale vortices are aligned by large-scale flows.
BLOB combines organic and bandit signals for better user interest estimation.
problem Combining organic and bandit signals for improved user interest estimation.
method Bayesian Latent Organic Bandit (BLOB) model using variational auto-encoders and local re-parametrization.
result BLOB outperforms organic and bandit-based methods in both organic and bandit-rich environments.
Ethereum upgrades increased TPS and lowered fees, with L2s surpassing Solana in 2029.
problem Transaction speed and fees in Ethereum
method Comparing Ethereum Mainnet and Layer 2 networks, Solana, and Polygon
result Ethereum Mainnet and L2 networks surpassed Solana in terms of TPS and lowered fees
We review and implement an efficient method for calculating entropy-regularized Wasserstein loss.
problem Efficiently calculating entropy-regularized Wasserstein loss.
method Batched Sinkhorn iterations for PyTorch implementation.
result Improved computational efficiency in calculating Wasserstein loss.
The paper explores handlebody versions of various diagram algebras.
problem None explicitly stated, but related to algebraic structures.
method Study of handlebody versions of classical diagram algebras and reformulation of cellular algebras.
result All mentioned algebras are part of the reformulated cellular algebra theory.
Paper proposes using blockchain for trustable machine learning with streaming layer and synthetic data.
problem Machine learning results are not fully trusted due to mutable data and difficulty in automation.
method Blockchain technology for immutable data storage and smart contracts for automation. Server, streaming, and smart contract implementations.
result A compact binary model format for streaming layer and synthetic data generation for limited training data.
New structure for quantum algebra representations.
problem Understanding representations of quantum algebras.
method Constructing a quotient category of annular quantum gln webs. result Equivalent to finite dimensional representations of quantum Levi subalgebras.
We define symplectic fractional twists, which generalize Dehn twists, and use these in open books to investigate contact structures. The resulting contact structures are invariant under a circle action, and share several similarities with the invariant contact structures that were studied by Lutz and Giroux. We show th…
Abstract: Homotopy Poisson algebra models for reduced spaces derived from Poisson structures.
problem Homotopy Poisson algebra models for reduced spaces.
method Cattaneo-Zambon compatibility and regularity conditions, equivariant map, homotopy Poisson algebra.
result Derivation of homotopy Poisson algebra generalizing classical BFV algebra.
Local model for Poisson manifolds around submanifolds.
problem Linearization of Poisson manifolds around submanifolds.
method Constructing a first order local model and giving conditions for it to be a normal form.
result Includes known linearization theorems for fixed points and symplectic leaves.
New model distinguishes Poisson processes from self-similar ones.
problem Distinguishing Poisson point processes from self-similar processes.
method Machine learning model based on inhomogeneous, compound Poisson point process.
result The model can distinguish Poisson point processes from self-similar processes.
The topics covered in this thesis may be divided into three parts. Firstly, we perform a study on the most general branes which are consistent with the Poisson sigma model, both at the classical and quantum levels. The second part is devoted to the particular case in which the target Poisson manifold is a Poisson-Lie g…
We show that various notions of integrability for Poisson brackets are all equivalent, and we give the precise obstructions to integrating Poisson manifolds. We describe the integration as a symplectic quotient, in the spirit of the Poisson sigma-model of Cattaneo and Felder. For regular Poisson manifolds we express th…
Gaussian surrogates improve Poisson imaging performance at low doses.
problem Improving Poisson imaging performance at low doses.
method Analysis of Poisson and Gaussian surrogate reconstruction objectives under Poisson noise.
result Gaussian surrogates can achieve MSE comparable to Poisson MAP at low doses.
Review of multivariate Poisson-based distributions for count data.
problem Dependencies in high-dimensional count data.
method Categorization and empirical comparison of multivariate Poisson-based distributions.
result Empirical comparison of multivariate Poisson-based distributions on real-world datasets.
Poisson sigma models represent an interesting use of Poisson manifolds for the construction of a classical field theory. Their definition in the language of fibre bundles is shown and the corresponding field equations are derived using a coordinate independent variational principle. The elegant form of equations of mot…
New Gamma-Poisson model improves topic selection for short text.
problem Topic modelling for short text using Poisson distribution.
method Gamma-Poisson mixture model with collapsed Gibbs sampler.
result Gamma-Poisson model selects more accurate number of topics.
Poisson CNN solves Poisson equations on Cartesian grids efficiently.
problem Solving Poisson equations on 2D Cartesian grids with various boundary conditions.
method Fully convolutional neural network (CNN) architecture to solve Poisson equation.
result Encouraging performance in predicting Poisson solutions with mean errors below 10%.
Bijective proof of map enumeration recursion formulae.
problem Counting maps of arbitrary topology.
method Iterating Tutte's algorithm and pair-of-pants decomposition.
result Combinatorial meaning for all terms of topological recursion.
HCPF improves recommendation systems by decoupling sparsity and response models.
problem Collaborative filtering with extreme sparsity and complex response types.
method Introduces HCPF with a Gamma-Poisson structure, decoupling sparsity and response models.
result HCPF outperforms HPF in capturing sparsity and response relationships.
The Poisson--Weil sigma model, worked out by us recently, stems from gauging a Hamiltonian Lie group symmetry of the target space of the Poisson sigma model. Upon gauge fixing of the BV master action, it yields interesting topological field theories such as the 2--dimensional Donaldson-Witten topological gauge theory a…
Classifies star log symplectic structures on surfaces.
problem Classifying star log symplectic structures on compact surfaces.
method Classifies bi-vectors with degeneracy loci modeled by lines intersecting at a point.
result Computes Poisson cohomology and discusses relationships with second cohomology.
Simple optimization method for Poisson likelihood models.
problem Optimizing Poisson likelihood models with non-Lipschitz continuity.
method Saddle point reformulation, gradient-based optimization, randomized block-decomposition.
result Gradient-based optimization with O(1/t) convergence rate for large-scale problems. Developed shrinkage methods for Poisson regression models with experts to handle multicollinearity.
problem Multicollinearity in Poisson regression models with experts.
method Ridge and Liu-type shrinkage methods.
result Shrinkage methods offer more reliable estimates for coefficients in multicollinearity.
Paper designs Poisson integrators using machine learning.
problem Designing integrators that preserve Poisson geometry.
method Reformulated as an optimization problem in Hamilton-Jacobi PDE, solved using machine learning.
result Machine learning approximates solutions to Hamilton-Jacobi PDE.
The paper extends Thurston's method to new variants of Mather-Thurston theorem.
problem Proving new variants of Mather-Thurston theorem for PL homeomorphisms and contactomorphisms.
method Generalizing Thurston's technique to prove new variants of Mather-Thurston theorem for PL homeomorphisms and contactomorphisms.
result The paper answers questions posed by Gelfand-Fuks and Greenberg on PL foliations and Rybicki on contactomorphisms.
Study shows how Poisson brackets factor on infinite dimensional manifolds.
problem Understanding Poisson brackets on infinite dimensional manifolds.
method Analyzes Poisson brackets on smoothly paracompact manifolds with specific properties.
result Dual map of a Poisson bracket factors as a smooth section of a vector bundle.
We show how to carry out the gauging of the Poisson sigma model in an AKSZ inspired formulation by coupling it to the a generalization of the Weil model worked out in ref. arXiv:0706.1289 [hep-th]. We call the resulting gauged field theory, Poisson--Weil sigma model. We study the BV cohomology of the model and show its…
RPF improves recommendation by modeling user and item interactions over time.
problem Temporal behavior and recurrent activities of users are not well modeled in existing recommendation systems.
method Introduces Recurrent Poisson Factorization (RPF) that uses a Poisson process to model temporal feedback.
result RPF outperforms state-of-the-art methods on various datasets.
Geometrically proves twisted Poincaré duality for orientable Poisson manifolds.
problem Establishing twisted Poincaré duality for Poisson manifolds.
method Geometrically reinterprets algebraic constructions of twisted Poisson modules and Poisson chain complexes.
result Explicit chain isomorphism between Poisson cochain and chain complexes with coefficients in Poisson modules.
New approach to Poisson-Lie T-duality for string effective actions, solving dilaton puzzle.
problem Complexity of Poisson-Lie T-duality in string effective actions due to dilaton field.
method Use of Levi-Civita connections on Courant algebroids to derive formulas for Poisson-Lie T-dual dilaton fields.
result Derivation of formulas for Poisson-Lie T-dual dilaton fields, providing new Poisson-Lie T-duality for string effective actions.
The abstract semiclassicalises quantum group principal bundles to Poisson geometry.
problem Semiclassicalising quantum group principal bundles to Poisson geometry.
method The theory is developed for Poisson manifolds with Poisson-compatible contravariant connections, and for Poisson-Lie groups with bicovariant Poisson-compatible contravariant connections.
result The construction of the Poisson level of the q-Hopf fibration and the spin connection on a principal bundle. Extends AKSZ to poly-symplectic structures for more complex spaces.
problem Developing a generalized AKSZ formulation for complex target spaces.
method Generalized AKSZ formulation and graded poly-symplectic structures.
result Recovering action functional and poly-symplectic structure of reduced phase space.
A new method learns discrete representations for images and videos, improving upon previous models.
problem Learning discrete representations for images and videos to improve performance.
method Depthwise application of Vector Quantized Variational Autoencoders (VQVAE) to feature axis.
result 33% improvement in performance compared to previous discrete models.
Solves optimal stopping problem with Poisson constraints using jumps.
problem Optimal stopping with Poisson constraints and jumps.
method Penalized backward stochastic differential equation (PBSDE) with jumps, decomposition method based on Jacod-Pham, comparison theorem of BSDEs with jumps.
result Solves American option pricing in nonlinear markets with Poisson constraints.
We propose a Poisson-Lie analog of the symplectic induction procedure, using an appropriate Poisson generalization of the reduction of symplectic manifolds with symmetry. Having as basic tools the equivariant momentum maps of Poisson actions, the double group of a Poisson-Lie group and the reduction of Poisson manifold…
This study improves fast non-Bayesian Poisson factorization for implicit-feedback recommendation systems.
problem Improving recommendation quality and speed for implicit-feedback data.
method Regularized Poisson models, frequentist optimization, sparse solutions.
result Frequentist approach yields better top-N recommendations with shorter fitting times.
New Dynkin games with Poisson intervention times studied for convertible bond strategies.
problem Optimal stopping strategies for convertible bonds with random intervention times.
method Characterized by backward stochastic differential equations.
result Optimal conversion and calling strategies for convertible bonds derived.
Reformulates Fock-Rosly Poisson structure using quasi-triangular r-matrices.
problem Defining Fock-Rosly Poisson structure on moduli spaces.
method Using Lie algebra actions and quasi-triangular r-matrices.
result Shows Fock-Rosly structure as mixed product Poisson structure.
New Poisson structures on algebras linked to derivatives.
problem Understanding Poisson structures on trivial extension algebras.
method Introducing a correspondence between Poisson structures and derivatives, and formulating results in terms of Lie algebroids.
result One-to-one correspondence between Poisson structures and data involving derivatives.
TPSQRs model longitudinal event data, detecting ADRs from EHRs.
problem Detecting adverse drug reactions from longitudinal event data.
method Learned by estimating a collection of interrelated PSQRs, using Poisson pseudo-likelihood for estimation.
result TPSQRs effectively and efficiently recover ADR signals from EHRs.
We study a class of Poisson-Nijenhuis systems defined on compact hermitian symmetric spaces, where the Nijenhuis tensor is defined as the composition of Kirillov-Konstant-Souriau symplectic form with the so called Bruhat-Poisson structure. We determine its spectrum. In the case of Grassmannians the eigenvalues are the …