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🔍 elmar aschauer 📂 Computer Science
Showing 31 results for "elmar aschauer" in Computer Science
Computer Science Preprint PDF DOI

Approximating the Permanent of a Random Matrix with Polynomially Small Mean: Zeros and Universality

Frederic Koehler, Pui Kuen Leung · 2026

We study algorithms for approximating the permanent of a random matrix when the entries are slightly biased away from zero. This question is motivated by the goal of understanding the classical comple…

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Computer Science Preprint PDF DOI

LLMAR: A Tuning-Free Recommendation Framework for Sparse and Text-Rich Industrial Domains

Ryogo Hishikawa, Ichiro Kataoka, Shinya Yuda · 2026

Industrial B2B applications (e.g., construction site risk prediction, material procurement) face extreme data sparsity yet feature rich textual interactions. In such environments, traditional ID-based…

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Computer Science Preprint PDF DOI

The Neurosymbolic Frontier of Nonuniform Ellipticity: Formalizing Sharp Schauder Theory via Topos-Theoretic Reasoning Models

Suyash Mishra · 2026

This white paper presents a critical synthesis of the recent breakthrough in nonuniformly elliptic regularity theory and the burgeoning field of neurosymbolic large reasoning models (LRMs). We explore…

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Computer Science Preprint PDF DOI

The Complexity of Stackelberg Pricing Games

Christoph Grune, Dorothee Henke, Eva Rotenberg, Lasse Wulf · 2025

We consider Stackelberg pricing games, which are also known as bilevel pricing problems, or combinatorial price-setting problems. This family of problems consists of games between two players: the lea…

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Computer Science Preprint PDF DOI

LMAR: Language Model Augmented Retriever for Domain-specific Knowledge Indexing

Yao Zhao, Yantian Ding, Zhiyue Zhang, Dapeng Yao, Yanxun Xu · 2025

Retrieval Augmented Generation (RAG) systems often struggle with domain-specific knowledge due to performance deterioration of pre-trained embeddings and prohibitive computational costs of large langu…

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Computer Science Preprint PDF DOI

Waiting is worth it and can be improved with predictions

Ya-Chun Liang, Meng-Hsi Li, Chung-Shou Liao, Clifford Stein · 2025

We revisit the well-known online traveling salesman problem (OLTSP) and its extension, the online dial-a-ride problem (OLDARP). A server starting at a designated origin in a metric space, is required …

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Computer Science Preprint PDF DOI

Cyber Attacks Detection, Prevention, and Source Localization in Digital Substation Communication using Hybrid Statistical-Deep Learning

Nicola Cibin, Bas Mulder, Herman Carstens, Peter Palensky, Alexandru Stefanov · 2025

The digital transformation of power systems is accelerating the adoption of IEC 61850 standard. However, its communication protocols, including Sampled Values (SV), lack built-in security features suc…

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Computer Science Preprint PDF DOI

ELGAR: Expressive Cello Performance Motion Generation for Audio Rendition

Zhiping Qiu, Yitong Jin, Yuan Wang, Yi Shi, Chongwu Wang, Chao Tan, Xiaobing Li, Feng Yu, Tao Yu, Qionghai Dai · 2025

The art of instrument performance stands as a vivid manifestation of human creativity and emotion. Nonetheless, generating instrument performance motions is a highly challenging task, as it requires n…

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Computer Science Preprint PDF DOI

Long Context Modeling with Ranked Memory-Augmented Retrieval

Ghadir Alselwi, Hao Xue, Shoaib Jameel, Basem Suleiman, Hakim Hacid, Flora D. Salim, Imran Razzak · 2025

Effective long-term memory management is crucial for language models handling extended contexts. We introduce a novel framework that dynamically ranks memory entries based on relevance. Unlike previou…

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Computer Science Preprint PDF DOI

Evaluating the Impact of a Specialized LLM on Physician Experience in Clinical Decision Support: A Comparison of Ask Avo and ChatGPT-4

Daniel Jung, Alex Butler, Joongheum Park, Yair Saperstein · 2024

The use of Large language models (LLMs) to augment clinical decision support systems is a topic with rapidly growing interest, but current shortcomings such as hallucinations and lack of clear source …

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Computer Science Preprint PDF DOI

Sublinear Time Low-Rank Approximation of Toeplitz Matrices

Cameron Musco, Kshiteej Sheth · 2024

We present a sublinear time algorithm for computing a near optimal low-rank approximation to any positive semidefinite (PSD) Toeplitz matrix $T\in \mathbb{R}^{d\times d}$, given noisy access to its en…

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Computer Science Preprint PDF DOI

Parallel External Sorting of ASCII Records Using Learned Models

Ani Kristo, Tim Kraska · 2023

External sorting is at the core of many operations in large-scale database systems, such as ordering and aggregation queries for large result sets, building indexes, sort-merge joins, duplicate remova…

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Computer Science Preprint PDF DOI

Cybersecurity of AI medical devices: risks, legislation, and challenges

Elisabetta Biasin, Erik Kamenjasevic, Kaspar Rosager Ludvigsen · 2023

Medical devices and artificial intelligence systems rapidly transform healthcare provisions. At the same time, due to their nature, AI in or as medical devices might get exposed to cyberattacks, leadi…

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Computer Science Preprint PDF DOI

Executable First-Order Queries in the Logic of Information Flows

Heba Aamer, Bart Bogaerts, Dimitri Surinx, Eugenia Ternovska, Jan Van den Bussche · 2022

The logic of information flows (LIF) has recently been proposed as a general framework in the field of knowledge representation. In this framework, tasks of procedural nature can still be modeled in a…

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Computer Science Preprint PDF DOI

Non-Linear Speech coding with MLP, RBF and Elman based prediction

Marcos Faundez-Zanuy · 2022

In this paper we propose a nonlinear scalar predictor based on a combination of Multi Layer Perceptron, Radial Basis Functions and Elman networks. This system is applied to speech coding in an ADPCM b…

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Computer Science Preprint PDF DOI

Quantum and Classical Algorithms for Bounded Distance Decoding

Richard Allen, Ratip Emin Berker, Silvia Casacuberta, Michael Gul · 2022

In this paper, we provide a comprehensive overview of a recent debate over the quantum versus classical solvability of bounded distance decoding (BDD). Specifically, we review the work of Eldar and Ha…

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Computer Science Preprint PDF DOI

Stochastic diagonal estimation: probabilistic bounds and an improved algorithm

Robert A. Baston, Yuji Nakatsukasa · 2022

We study the problem of estimating the diagonal of an implicitly given matrix $A$. For such a matrix we have access to an oracle that allows us to evaluate the matrix vector product $Av$. For random v…

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Computer Science Preprint PDF DOI

A 4-Approximation of the $\frac{2\pi}{3}$-MST

Stav Ashur, Matthew J. Katz · 2020

Bounded-angle (minimum) spanning trees were first introduced in the context of wireless networks with directional antennas. They are reminiscent of bounded-degree spanning trees, which have received s…

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Computer Science Preprint PDF DOI

On the Error Exponent of Approximate Sufficient Statistics for M-ary Hypothesis Testing

Jiachun Pan, Yonglong Li, Vincent Y. F. Tan, Yonina C. Eldar · 2020

Consider the problem of detecting one of M i.i.d. Gaussian signals corrupted in white Gaussian noise. Conventionally, matched filters are used for detection. We first show that the outputs of the matc…

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Computer Science Preprint PDF DOI

Approximating Permanent of Random Matrices with Vanishing Mean: Made Better and Simpler

Zhengfeng Ji, Zhihan Jin, Pinyan Lu · 2019

The algorithm and complexity of approximating the permanent of a matrix is an extensively studied topic. Recently, its connection with quantum supremacy and more specifically BosonSampling draws speci…

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