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Computer Science Preprint PDF DOI

Exploring Sparse Matrix Multiplication Kernels on the Cerebras CS-3

Milan Shah, Sheng Di, Michela Becchi · 2026

In recent years, novel AI accelerators have emerged as promising alternatives to GPU for AI model training and inference tasks. One such accelerator, the Cerebras CS-3, achieves strong performance on …

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AI & Data Science Preprint PDF DOI

Differentiable latent structure discovery for interpretable forecasting in clinical time series

Ivan Lerner, Jean Feydy, Alexandre Kalimouttou, Anita Burgun, Francis Bach · 2026

Background: Timely, uncertainty-aware forecasting from irregular electronic health records (EHR) can support critical-care decisions, yet most approaches either impute to a grid or sacrifice interpret…

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Mathematics Preprint PDF DOI

Colored Markov polycategories and diagrammatic differentiation

Theodore Papamarkou · 2026

Many stochastic systems are built by wiring typed components together, but the wiring is often neither purely sequential nor type-homogeneous. This paper develops categorical semantics for such system…

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Computer Science Preprint PDF DOI

ZipCCL: Efficient Lossless Data Compression of Communication Collectives for Accelerating LLM Training

Wenxiang Lin, Xinglin Pan, Ruibo Fan, Shaohuai Shi, Xiaowen Chu · 2026

Communication has emerged as a critical bottleneck in the distributed training of large language models (LLMs). While numerous approaches have been proposed to reduce communication overhead, the poten…

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Computer Science Preprint PDF DOI

AME-PIM: Can Memory be Your Next Tensor Accelerator?

Emanuele Venieri, Simone Manoni, Alberto Florian, Jaehyun Park, Kyomin Sohn, Andrea Bartolini · 2026

High Bandwidth Memory with Processing-in-Memory (HBM-PIM) offers an opportunity to reduce data movement by executing computation directly inside memory, but current commercial platforms expose limited…

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Mathematics Preprint PDF DOI

On the Extremal Energy of Complex Unit Gain Dumbbell Graphs

Silin Huang · 2026

We study the extremal energy problem for complex unit gain graphs whose underlying graph is the dumbbell graph $D_{r,s,\ell}$. An explicit expression of its characteristic polynomial is derived in ter…

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Computer Science Preprint PDF DOI

GenAI in Software Engineering: The Role of Technology Acceptance Models

Oscar Johansson, Jurgen Borstler, Nauman bin Ali · 2026

Context: Many organizations are keen to incorporate generative~AI (GenAI) into their software development processes. Technology acceptance models, such as the Unified Theory of Acceptance and Use of T…

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Computer Science Preprint PDF DOI

SandSim: Curve-Guided Gaussian Splatting for Reconstructing Sand Painting Processes

Yilin Wang, Haojie Huang, Chen Li, Yang Li, Changbo Wang, Chenhui Li · 2026

Sand painting is a process-driven art where visual appearance emerges from granular accumulation. Given a single image, reconstructing a plausible sand painting process requires modeling coherent stro…

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Engineering Preprint PDF DOI

Function-based Parametric Co-Design Optimization of Dexterous Hands

Mohammad Amin Mirzaee, Harsh Gupta, Wenzhen Yuan · 2026

Despite advances in dexterous hand manipulation, robotic hand design is still largely decoupled from task-driven evaluation and control, limiting systematic optimization. Existing robotic hand co-desi…

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AI & Data Science Preprint PDF DOI

EdgeFM: Efficient Edge Inference for Vision-Language Models

Mengling Deng, Yuanpeng Chen, Sheng Yang, Wei Tao, Wenhai Zhang, Hui Song, Linyuanhao Qin, Kai Zhao, Xiaojun Ye, Shanhui Mo, Jingli Fan, Shuang Zhang, Bei Liu, Tiankun Zhao, Xiangjing An · 2026

Vision-language models (VLMs) have demonstrated strong applicability in edge industrial applications, yet their deployment remains severely constrained by requirements for deterministic low latency an…

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Engineering Preprint PDF DOI

Feedback Linearization of Hyperbolic PDEs with Volterra Nonlinearities

Miroslav Krstic · 2026

Alberto Isidori's framework of geometric nonlinear control, and particularly of feedback linearization, is the inspiration behind PDE backstepping: apply a transfromation of the state to cast the plan…

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Computer Science Preprint PDF DOI

Static Attribution of Android Residential Proxy Malware Using Graph Kernels

Peter Clark, Yong Guan, Zhonghao Liao · 2026

Android residential proxy applications represent a growing class of potentially-unwanted programs (PUPs) that covertly route third-party traffic through end-user devices, enabling ad fraud, credential…

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Economics & Finance Preprint PDF DOI

Fast-Vollib: A Fast Implied Volatility Library for Pythonwith PyTorch, JAX, and CUDA Fused-Kernel Backends

Raeid Saqur · 2026

We present fast-vollib, an open-source Python library that provides high-performance European option pricing, implied volatility (IV) computation, and Greeks under the Black-76, Black-Scholes, and Bla…

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Mathematics Preprint PDF DOI

Embeddings of Reproducing Kernel Hilbert Spaces with General Weights

Michael Gnewuch, Peter Kritzer, Klaus Ritter · 2026

We study embeddings between reproducing kernel Hilbert spaces $H(K)$ of functions of $d \in \mathbb{N} \cup \{\infty\}$ variables. The kernels $K$ are superpositions of weighted finite tensor products…

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Mathematics Preprint PDF DOI

Systems of Nonlocal Conservation Laws with Memory and Their Zero Retention Limit

Aekta Aggarwal, Ganesh Vaidya · 2026

We study the entropy solution for a class of systems of nonlocal conservation laws in which the convective flux is convoluted with a kernel in both spatial and temporal variables. This formulation mod…

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Computer Science Preprint PDF DOI

FACT: Compositional Kernel Synthesis with a Three-Stage Agentic Workflow

Sina Heidari, Dimitrios S. Nikolopoulos · 2026

Deep learning compilers and vendor libraries deliver strong baseline performance but are bounded by finite, engineer-curated catalogs. When these omit needed optimizations, practitioners substitute ha…

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AI & Data Science Preprint PDF DOI

EdgeSpike: Spiking Neural Networks for Low-Power Autonomous Sensing in Edge IoT Architectures

Gustav Olaf Yunus Laitinen-Fredriksson Lundstrom-Imanov, Taner Yilmaz · 2026

We propose EdgeSpike, a co-designed spiking neural network (SNN) framework for autonomous low-power sensing in edge Internet of Things (IoT) architectures. EdgeSpike unifies (i) a hybrid surrogate-gra…

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Computer Science Preprint PDF DOI

TimeMM: Time-as-Operator Spectral Filtering for Dynamic Multimodal Recommendation

Wei Yang, Rui Zhong, Zihan Lin, Xiaodan Wang, Cheng Chen, Huan Ren, Yao Hu · 2026

Multimodal recommendation improves user modeling by integrating collaborative signals with heterogeneous item content. In real applications, user interests evolve over time and exhibit nonstationary d…

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Computer Science Preprint PDF DOI

AI Observability for Large Language Model Systems: A Multi-Layer Analysis of Monitoring Approaches from Confidence Calibration to Infrastructure Tracing

Twinkll Sisodia · 2026

The deployment of large language models (LLMs) in production environments has created an urgent need for observability systems that span the full stack -- from model internals to GPU kernels. Yet exis…

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AI & Data Science Preprint PDF DOI

RADIO-ViPE: Online Tightly Coupled Multi-Modal Fusion for Open-Vocabulary Semantic SLAM in Dynamic Environments

Zaid Nasser, Mikhail Iumanov, Tianhao Li, Maxim Popov, Jaafar Mahmoud, Sergey Kolyubin · 2026

We present RADIO-ViPE (Reduce All Domains Into One -- Video Pose Engine), an online semantic SLAM system that enables geometry-aware open-vocabulary grounding, associating arbitrary natural language q…

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