Tootfinder

Replaced article(s) found for cs.SD. https://arxiv.org/list/cs.SD/new
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- Vocoder-Free Non-Parallel Conversion of Whispered Speech With Masked Cycle-Consistent Generative ...
Dominik Wagner, Ilja Baumann, Tobias Bocklet

On the classification of $C^*$-algebras of twisted isometries with finite dimensional wandering spaces
Shreema Subhash Bhatt, Surajit Biswas, Bipul Saurabh
https://arxiv.org/abs/2506.15824

On the classification of $C^*$-algebras of twisted isometries with finite dimensional wandering spaces
Let \( m, n \in \mathbb{N}_0 \), and let \( X \) be a closed subset of \( \mathbb{T}^{\binom{m+n}{2}} \). We define \( C^{m,n}_X \) to be the universal \( C^* \)-algebra among those generated by \( m \) unitaries and \( n \) isometries satisfying doubly twisted commutation relations with respect to a twist \( \mathcal{U} = \{U_{ij}\}_{1 \leq i < j \leq m+n} \) of commuting unitaries having joint spectrum \( X \). We provide a complete list of the irreducible representations of \( C^{m,n}_X \)…

Maximally-Informative Retrieval for State Space Model Generation
Evan Becker, Benjamin Bowman, Matthew Trager, Tian Yu Liu, Luca Zancato, Wei Xia, Stefano Soatto
https://arxiv.org/abs/2506.12149

Maximally-Informative Retrieval for State Space Model Generation
Given a query and dataset, the optimal way of answering the query is to make use all the information available. Modern LLMs exhibit impressive ability to memorize training data, but data not deemed important during training is forgotten, and information outside that training set cannot be made use of. Processing an entire dataset at inference time is infeasible due to the bounded nature of model resources (e.g. context size in transformers or states in state space models), meaning we must resor…

Absolutely Continuous Curves of Stochastic Processes
Beatrice Acciaio, Daniel Kr\v{s}ek, Gudmund Pammer, Marco Rodrigues
https://arxiv.org/abs/2506.13634 h…

Absolutely Continuous Curves of Stochastic Processes
We study absolutely continuous curves in the adapted Wasserstein space of filtered processes. We provide a probabilistic representation of such curves as flows of adapted processes on a common filtered probability space, extending classical results to the adapted setting. Moreover, we characterize geodesics in this space and derive an adapted Benamou--Brenier-type formula by reformulating adapted optimal transport as an energy minimization problem. As an application, we obtain a Skorokhod-type …

Das #Leckerli zum Probieren:
🍏 Diese #Apfeltarte gehört zu meinen Lieblingsrezepten. 🍎 Sie ist schnell gemacht und hat einen herrlichen Geschmack. Wenn man serh hungrig ist, kann man das auch alleine als Hauptspeise essen. Danach ist man aber auch mega-satt.

Schnelle Apfeltarte mit Blätterteig – fruchtige Süßspeise mit Banane - Variante 1
Du suchst ein fruchtiges Dessert? Diese Apfeltarte mit Blätterteig ist schnell gemacht und ideal zur Obstverwertung im Spätsommer!

An Efficient Augmented Lagrangian Method for Dynamic Optimal Transport on Surfaces Based on Second-Order Cone Programming
Liang Chen, Youyicun Lin, Yuxuan Zhou
https://arxiv.org/abs/2506.08988

An Efficient Augmented Lagrangian Method for Dynamic Optimal Transport on Surfaces Based on Second-Order Cone Programming
This paper proposes an efficient numerical optimization approach for solving dynamic optimal transport (DOT) problems on general smooth surfaces, computing both the quadratic Wasserstein distance and the associated transportation path. Building on the convex DOT model of Benamou and Brenier, we first properly reformulate its dual problem, discretized on a triangular mesh for space together with a staggered grid for time, to a linear second-order cone programming. Then the resulting finite-dimen…

These lads really loved Bohemian Rhapsody when they first heard it a few months ago, so no wonder they also like the LIve Aid set. Despite the fact that they don't speak English they have some great insights.
https://www.youtube.com/watch?v=txRyUSmBHNU

Ramping Up Open-Source RISC-V Cores: Assessing the Energy Efficiency of Superscalar, Out-of-Order Execution
Zexin Fu, Riccardo Tedeschi, Gianmarco Ottavi, Nils Wistoff, C\'esar Fuguet, Davide Rossi, Luca Benini
https://arxiv.org/abs/2505.24363

Ramping Up Open-Source RISC-V Cores: Assessing the Energy Efficiency of Superscalar, Out-of-Order Execution
Open-source RISC-V cores are increasingly demanded in domains like automotive and space, where achieving high instructions per cycle (IPC) through superscalar and out-of-order (OoO) execution is crucial. However, high-performance open-source RISC-V cores face adoption challenges: some (e.g. BOOM, Xiangshan) are developed in Chisel with limited support from industrial electronic design automation (EDA) tools. Others, like the XuanTie C910 core, use proprietary interfaces and protocols, including…