Expertini Research Research

Browse Research Papers

628+ open-access research outputs.

✕ Clear
🔍 mateja dumbovic
Showing 628 results for "mateja dumbovic"
Computer Science Preprint PDF DOI

MATCHA: Efficient Deployment of Deep Neural Networks on Multi-Accelerator Heterogeneous Edge SoCs

Enrico Russo, Mohamed Amine Hamdi, Alessandro Ottaviano, Francesco Conti, Angelo Garofalo, Daniele Jahier Pagliari, Maurizio Palesi, Luca Benini, Alessio Burrello · 2026

Deploying DNNs on System-on-Chips (SoC) with multiple heterogeneous acceleration engines is challenging, and the majority of deployment frameworks cannot fully exploit heterogeneity. We present MATCHA…

Read Paper →
Physics Preprint PDF DOI

Reconstruction of the Quintessence Scalar Field Potential Using Gaussian Processes

Redouane El Ouardi, Amine Bouali, Ahmed Errahmani, Ryan E. Keeley, Arman Shafieloo, Taoufik Ouali · 2026

Recent cosmological observations, including the latest Dark Energy Spectroscopic Instrument (DESI) data releases DR1 and DR2, have renewed interest in the possibility that dark energy may exhibit dyna…

Read Paper →
Engineering Preprint PDF DOI

MALEFA: Multi-grAnularity Learning and Effective False Alarm Suppression for Zero-shot Keyword Spotting

Lo-Ya Li, Tien-Hong Lo, Jeih-Weih Hung, Shih-Chieh Huang, Berlin Chen · 2026

User-defined keyword spotting (KWS) without resorting to domain-specific pre-labeled training data is of fundamental importance in building adaptable and personalized voice interfaces. However, such s…

Read Paper →
AI & Data Science Preprint PDF DOI

Irregularly and incompletely sampled random fields in the Earth sciences: Analysis and synthesis of parameterized covariance models

Olivia L. Walbert, Frederik J. Simons, Arthur P. Guillaumin, Sofia C. Olhede · 2026

We study how sampling geometry contributes to uncertainty in modeling spatial geophysical observations as sampled random fields characterized by stationary, isotropic, parametric covariance functions.…

Read Paper →
Mathematics Preprint PDF DOI

Almost all graphs have no cospectral mates with height relative small to its order

Da Zhao · 2026

The main result of this paper shows that almost all graphs of order $n$ have no cospectral mates with height $o(( n / \ln n)^{1/10})$, improving an earlier result on cospectral mates with fixed level …

Read Paper →
AI & Data Science Preprint PDF DOI

MATA-Former & SIICU: Semantic Aware Temporal Alignment for High-Fidelity ICU Risk Prediction

Zhichong Zheng, Xiaohang Nie, Xueqi Wang, Yuanjin Zhao, Haitao Zhang, Yichao Tang · 2026

Forecasting evolving clinical risks relies on intrinsic pathological dependencies rather than mere chronological proximity, yet current methods struggle with coarse binary supervision and physical tim…

Read Paper →
AI & Data Science Preprint PDF DOI

MATHENA: Mamba-based Architectural Tooth Hierarchical Estimator and Holistic Evaluation Network for Anatomy

Kyeonghun Kim, Jaehyung Park, Youngung Han, Anna Jung, Seongbin Park, Sumin Lee, Jiwon Yang, Jiyoon Han, Subeen Lee, Junsu Lim, Hyunsu Go, Eunseob Choi, Hyeonseok Jung, Soo Yong Kim, Woo Kyoung Jeong, Won Jae Lee, Pa Hong, Hyuk-Jae Lee, Ken Ying-Kai Liao, Nam-Joon Kim · 2026

Dental diagnosis from Orthopantomograms (OPGs) requires coordination of tooth detection, caries segmentation (CarSeg), anomaly detection (AD), and dental developmental staging (DDS). We propose Mamba-…

Read Paper →
Biology & Life Sciences Preprint PDF DOI

How to Forage for a Mate?

Daniel T Bernstein, Ahmed El Hady · 2026

Foraging is a central decision-making behavior performed by all animals, essential to garnishing enough energy for an organism to survive. Similarly, mating is crucial for evolutionary continuity and …

Read Paper →
AI & Data Science Preprint PDF DOI

Statistics 101, 201, and 202: Three Shiny Apps for Teaching Probability Distributions, Inferential Statistics, and Simple Linear Regression

Antoine Soetewey · 2026

Statistics 101, 201, and 202 are three open-source interactive web applications built with R \citep{R} and Shiny \citep{shiny} to support the teaching of introductory statistics and probability. The a…

Read Paper →
Physics Preprint PDF DOI

AI-ready design of realistic 2D materials and interfaces with Mat3ra-2D

Vsevolod Biryukov, Kamal Choudhary, Timur Bazhirov · 2026

Artificial intelligence (AI) and machine learning (ML) models in materials science are predominantly trained on ideal bulk crystals, limiting their transferability to real-world applications where sur…

Read Paper →
AI & Data Science Preprint PDF DOI

Distributionally Robust Token Optimization in RLHF

Yeping Jin, Jiaming Hu, Ioannis Ch. Paschalidis · 2026

Large Language Models (LLMs) tend to respond correctly to prompts that align to the data they were trained and fine-tuned on. Yet, small shifts in wording, format, or language can trigger surprisingly…

Read Paper →
Engineering Preprint PDF DOI

How Open is Open TTS? A Practical Evaluation of Open Source TTS Tools

Teodora Ragman, Adrian Bogdan Stanea, Horia Cucu, Adriana Stan · 2026

Open-source text-to-speech (TTS) frameworks have emerged as highly adaptable platforms for developing speech synthesis systems across a wide range of languages. However, their applicability is not uni…

Read Paper →
Economics & Finance Preprint PDF DOI

On Rational Inattention with Arbitrary Choice Sets

Chris Engh · 2026

This paper points out that rational inattention is a nested regularized optimal transport problem. We use entropic optimal transport to establish the main results in Matejka and McKay (2015) and Capli…

Read Paper →
AI & Data Science Preprint PDF DOI

A General Theory of Outcome Weighted Learning for Individualized Treatment Rules

Zhu Wang · 2026

Personalized medicine aims to tailor treatments to individual patients, especially when people respond heterogeneously to therapies. A key objective is to learn individualized treatment rules that rec…

Read Paper →
AI & Data Science Preprint PDF DOI

Learning When to Sample: Confidence-Aware Self-Consistency for Efficient LLM Chain-of-Thought Reasoning

Juming Xiong, Kevin Guo, Congning Ni, Chao Yan, Katherine Brown, Avinash Baidya, Xiang Gao, Bradley Malin, Zhijun Yin · 2026

Large language models (LLMs) achieve strong reasoning performance through chain-of-thought (CoT) reasoning, yet often generate unnecessarily long reasoning paths that incur high inference cost. Recent…

Read Paper →
AI & Data Science Preprint PDF DOI

Bolbosh: Script-Aware Flow Matching for Kashmiri Text-to-Speech

Tajamul Ashraf, Burhaan Rasheed Zargar, Saeed Abdul Muizz, Ifrah Mushtaq, Nazima Mehdi, Iqra Altaf Gillani, Aadil Amin Kak, Janibul Bashir · 2026

Kashmiri is spoken by around 7 million people but remains critically underserved in speech technology, despite its official status and rich linguistic heritage. The lack of robust Text-to-Speech (TTS)…

Read Paper →
Engineering Preprint PDF DOI

Towards Scalable Probabilistic Human Motion Prediction with Gaussian Processes for Safe Human-Robot Collaboration

Jinger Chong, Xiaotong Zhang, Kamal Youcef-Toumi · 2026

Accurate human motion prediction with well-calibrated uncertainty is critical for safe human-robot collaboration (HRC), where robots must anticipate and react to human movements in real time. We propo…

Read Paper →
Physics Preprint PDF DOI

CHEX-MATE: Are we getting cluster thermodynamics right?

R. Seppi, D. Eckert, E. Rasia, S. T. Kay, K. Dolag, V. Biffi, Y. E. Bahar, H. Bourdin, F. De Luca, M. De Petris, S. Ettori, M. Gaspari, F. Gastaldello, V. Ghirardini, L. Lovisari, P. Mazzotta, G. W. Pratt, E. Pointecouteau, M. Rossetti, J. Sayers, M. Sereno, G. Yepes · 2026

Galaxy clusters offer powerful insights into the large-scale structure of the Universe and the physics of baryons in hot state. Their scientific exploitation, however, hinges on our ability to accurat…

Read Paper →
Computer Science Preprint PDF DOI

DARS: Dysarthria-Aware Rhythm-Style Synthesis for ASR Enhancement

Minghui Wu, Xueling Liu, Jiahuan Fan, Haitao Tang, Yanyong Zhang, Yue Zhang · 2026

Dysarthric speech exhibits abnormal prosody and significant speaker variability, presenting persistent challenges for automatic speech recognition (ASR). While text-to-speech (TTS)-based data augmenta…

Read Paper →
AI & Data Science Preprint PDF DOI

MATEO: A Multimodal Benchmark for Temporal Reasoning and Planning in LVLMs

Gabriel Roccabruna, Olha Khomyn, Giuseppe Riccardi · 2026

AI agents need to plan to achieve complex goals that involve orchestrating perception, sub-goal decomposition, and execution. These plans consist of ordered steps structured according to a Temporal Ex…

Read Paper →
Page 1 of 32 Next →