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arxiv.org arXiv
arxiv.org › abs › 0807.1487v1
Approximation of the Semigroup generated by the Robin Laplacian in terms of the Gaussian Semigroup
For smooth bounded open sets in euclidean space, we construct corresponding contractive linear extension operators for the space of continuous functions which preserve regularity of functions in the d...
arxiv.org arXiv
arxiv.org › abs › 1908.06041v2
On the eigenvalues of the Robin Laplacian with a complex parameter
We study the spectrum of the Robin Laplacian with a complex Robin parameter $α$ on a bounded Lipschitz domain $Ω$. We start by establishing a number of properties of the corresponding operator, such...
arxiv.org arXiv
arxiv.org › abs › 2111.11170v1
Human-Machine Interaction Speech Corpus from the ROBIN project
This paper introduces a new Romanian speech corpus from the ROBIN project, called ROBIN Technical Acquisition Speech Corpus (ROBINTASC). Its main purpose was to improve the behaviour of a conversation...
arxiv.org arXiv
arxiv.org › abs › 2509.26458v2
EQ-Robin: Constraint-Resilient Generation of Multiple Minimal Unique-Cause MC/DC Test Suites
Unique-Cause Modified Condition/Decision Coverage (MC/DC) is widely required in safety-critical verification. A recent deterministic algorithm, Robin's Rule, constructs the theoretical minimum of N+1 ...
arxiv.org arXiv
arxiv.org › abs › 1104.5125v1
Quasilinear elliptic and parabolic Robin problems on Lipschitz domains
We prove Hölder continuity up to the boundary for solutions of quasi-linear degenerate elliptic problems in divergence form, not necessarily of variational type, on Lipschitz domains with Neumann and...
arxiv.org arXiv
arxiv.org › abs › 2204.08040v2
NICO++: Towards Better Benchmarking for Domain Generalization
Despite the remarkable performance that modern deep neural networks have achieved on independent and identically distributed (I.I.D.) data, they can crash under distribution shifts. Most current evalu...
arxiv.org arXiv
arxiv.org › abs › 1711.02779v2
Non-concavity of Robin eigenfunctions
On a convex bounded Euclidean domain, the ground state for the Laplacian with Neumann boundary conditions is a constant, while the Dirichlet ground state is log-concave. The Robin eigenvalue problem c...
arxiv.org arXiv
arxiv.org › abs › 2511.03563v1
ASVRI-Legal: Fine-Tuning LLMs with Retrieval Augmented Generation for Enhanced Legal Regulation
In this study, we explore the fine-tuning of Large Language Models (LLMs) to better support policymakers in their crucial work of understanding, analyzing, and crafting legal regulations. To equip the...
arxiv.org arXiv
arxiv.org › abs › 2204.00371v2
A Robin-Neumann Scheme with Quasi-Newton Acceleration for Partitioned Fluid-Structure Interaction
The Dirichlet-Neumann scheme is the most common partitioned algorithm for fluid-structure interaction (FSI) and offers high flexibility concerning the solvers employed for the two subproblems. Neverth...
arxiv.org arXiv
arxiv.org › abs › 2501.10064v1
One-D-Piece: Image Tokenizer Meets Quality-Controllable Compression
Current image tokenization methods require a large number of tokens to capture the information contained within images. Although the amount of information varies across images, most image tokenizers o...