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🔍 stefan wager 📂 Computer Science
Showing 1633 results for "stefan wager" in Computer Science
Computer Science Preprint PDF DOI

Joint Transceiver Orientation Optimization for Rotatable-Antenna MIMO Capacity Maximization

Zheng Ailing, Wu Qingqing, Peng Xingxiang, Peng Qiaoyan, Zheng Ziyuan, Chen Wen · 2026

Conventional multiple-input multiple-output (MIMO) systems mainly rely on fixed antenna arrays, which limits their capability to adapt the effective channel matrix to the propagation environment. Rota…

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Computer Science Preprint PDF DOI

NVLLM: A 3D NAND-Centric Architecture Enabling Edge on-Device LLM Inference

Mingbo Hao, Changwei Yan, Haoyu Cui, Zhihao Yan, Yizhi Ding, Zhangrui Qian, Weiwei Shan · 2026

The rapid growth of LLMs demands high-throughput, memory-capacity-intensive inference on resource-constrained edge devices, where single-batch decoding remains fundamentally memory-bound. Existing out…

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Computer Science Preprint PDF DOI

Medoid Prototype Alignment for Cross-Plant Unknown Attack Detection in Industrial Control Systems

Luyao Wang · 2026

Deploying an intrusion detector trained in one industrial plant to another remains difficult because Industrial Control System (ICS) traffic is highly site-dependent, labels are scarce, and unseen att…

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Computer Science Preprint PDF DOI

System-aware contextual digital twin for ICS anomaly diagnosis

Eungyu Woo, Yooshin Kim, Wonje Heo, Donghoon Shin · 2026

Industrial Control Systems (ICS) integrate computing, physical processes, and communication to operate critical infrastructures such as power grids, water treatment plants, and oil and gas facilities.…

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Computer Science Preprint PDF DOI

CSI Feedback Under Basis Mismatch: Rate-Splitting Transform Coding for FDD Massive MIMO

Youngmok Park, Bumsu Park, Namyoon Lee · 2026

In frequency division duplex massive multiple-input multiple-output systems, downlink channel state information must be fed back within a limited uplink budget. While transform coding with Karhunen-Lo…

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Computer Science Preprint PDF DOI

Equinox: Decentralized Scheduling for Hardware-Aware Orbital Intelligence

Ansel Kaplan Erol, Divya Mahajan · 2026

Earth-observation satellites are emerging as distributed edge platforms for time-critical tasks, yet orbital scheduling remains challenged by intermittent energy harvesting and temporal coupling where…

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Computer Science Preprint PDF DOI

Homodyne Photonic Tensor Processor exceeds 1,000-TOPS

Lian Zhou, Kaiwen Xue, Yun-Jhu Lee, Chun-Ho Lee, Yuan Li, Kiwon Kwon, Weipeng Zhang, Songlin Zhao, Jason Moraes, Niranjan Bhatia, Ryan Hamerly, Mengjie Yu, Zaijun Chen · 2026

High-performance computing underpins modern artificial intelligence (AI), enabling foundation models, real-time inference and perception in autonomous systems, and data-intensive scientific simulation…

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Computer Science Preprint PDF DOI

CSI Compression for Massive MIMO-OFDM: Mismatch-Aware Rate-Distortion Trade-offs

Bumsu Park, Youngmok Park, Chanho Park, Namyoon Lee · 2026

We study channel state information (CSI) compression for wideband frequency division duplex massive multiple-input multiple-output (MIMO) when the base station (BS) reconstructs CSI using an imperfect…

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Computer Science Preprint PDF DOI

Stochastic wage suppression on gig platforms and how to organize against it

Ana-Andreea Stoica, Celestine Mendler-Duenner, Moritz Hardt · 2026

Digital labor platforms are increasingly used to procure human input, ranging from annotating data and red-teaming AI models, to ride-sharing and food delivery. A central concern in such markets is th…

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Computer Science Preprint PDF DOI

Breaking the Training Barrier of Billion-Parameter Universal Machine Learning Interatomic Potentials

Yuanchang Zhou, Hongyu Wang, Yiming Du, Yan Wang, Mingzhen Li, Siyu Hu, Xiangyu Zhang, Weijian Liu, Chen Wang, Zhuoqiang Guo, Long Wang, Jingde Bu, Yutong Lu, Guangming Tan, Weile Jia · 2026

Universal Machine Learning Interatomic Potentials (uMLIPs), pre-trained on massively diverse datasets encompassing inorganic materials and organic molecules across the entire periodic table, serve as …

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Computer Science Preprint PDF DOI

SAGER: Self-Evolving User Policy Skills for Recommendation Agent

Zhen Tao, Riwei Lai, Chenyun Yu, Weixin Chen, Li Chen, Beibei Kong, Lei Cheng, Chengxiang Zhuo, Zang Li, Qingqiang Sun · 2026

Large language model (LLM) based recommendation agents personalize what they know through evolving per-user semantic memory, yet how they reason remains a universal, static system prompt shared identi…

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Computer Science Preprint PDF DOI

DySkew: Dynamic Data Redistribution for Skew-Resilient Snowpark UDF Execution

Chenwei Xie, Urjeet Shrestha, Corbin McElhanney, Lukas Lorimer, Gopal V, Zihao Ye, Yi Pan, Nic Crouch, Elliott Brossard, Florian Funke, Yuxiong He · 2026

Snowflake revolutionized data warehousing with an elastic architecture that decouples compute and storage, enabling scalable solutions for diverse data analytics needs. Building on this foundation, Sn…

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Computer Science Preprint PDF DOI

3D-Printing Water-Soluble Channels Filled with Liquid Metal for Recyclable and Cuttable Wireless Power Sheet

Takashi Sato, Ryo Takahashi, Kento Yamagishi, Takao Someya, Michinao Hashimoto, Eiji Iwase, Yoshihiro Kawahara, Junya Kurumida, Wataru Iwasaki · 2026

A recyclable and cuttable wireless power transfer (WPT) sheet is proposed, enabled by H-tree wiring and water-soluble channels filled with liquid metal (LM). Conventional 2D WPT systems lose their fun…

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Computer Science Preprint PDF DOI

Power Amplifier-aware Power Allocation for Noise-limited and Distortion-limited Regimes

Achref Tellili, Nathaniel Paul Epperson, Mohamed Akrout · 2026

The conventional power allocation strategy via water-filling relies on the premise that the power amplifier (PA) operates sufficiently below saturation such that a linear RF chain model holds. This wo…

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Computer Science Preprint PDF DOI

SMT with Uninterpreted Functions and Monotonicity Constraints in Systems Biology

Ondrej Huvar, Martin Jonas, Samuel Pastva · 2026

The theory of uninterpreted functions is a key modeling tool for systems with unknown or abstracted components. Some domains such as systems biology impose further restrictions regarding monotonicity …

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Computer Science Preprint PDF DOI

Sustainability-Constrained Workload Orchestration for Sovereign AI Infrastructure: A Joint Compute-Network Optimization Framework

Sergio Cruzes · 2026

AI infrastructure has transitioned from a software-centric paradigm to a system tightly bound by physical and environmental limits. Energy availability, cooling capacity, and network connectivity now …

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Computer Science Preprint PDF DOI

Singular Relative Entropy Coding with Bits-Back Rejection Sampling

Gergely Flamich, Spencer Hill · 2026

A relative entropy code for a source $X \sim P_X$ is a stochastic code that encodes random samples from a prescribed $P_{Y \mid X}$ using as few bits as possible. A generalisation of entropy coding, i…

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Computer Science Preprint PDF DOI

Bounded by Risk, Not Capability: Quantifying AI Occupational Substitution Rates via a Tech-Risk Dual-Factor Model

Shuyao Gao, Minghao Huang (aSSIST University, Seoul, South Korea) · 2026

The deployment of Large Language Models (LLMs) has ignited concerns about technological unemployment. Existing task-based evaluations predominantly measure theoretical "exposure" to AI capabilities, i…

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Computer Science Preprint PDF DOI

Enhancing behavioral nudges with large language model-based iterative personalization: A field experiment on electricity and hot-water conservation

Zonghan Li, Yi Liu, Chunyan Wang, Song Tong, Kaiping Peng, Feng Ji · 2026

Nudging is widely used to promote behavioral change, but its effectiveness is often limited when recipients must repeatedly translate feedback into workable next steps under changing circumstances. La…

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Computer Science Preprint PDF DOI

Systematic Integration of Digital Twins and Constrained LLMs for Interpretable Cyber-Physical Anomaly Detection

Konstantinos E. Kampourakis, Vasileios Gkioulos, Sokratis Katsikas · 2026

Cyber attacks targeting Industrial Control Systems (ICS) have become increasingly sophisticated and hard to identify. Detecting such attacks requires integrating low-level behavioral cues with high-le…

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