Expertini Research Research

Browse Research Papers

317+ open-access research outputs.

✕ Clear
🔍 alec koppel 📂 Computer Science
Showing 317 results for "alec koppel" in Computer Science
Computer Science Preprint PDF DOI

Poisoning Learned Index Structures: Static and Dynamic Adversarial Attacks on ALEX

Allen Jue · 2026

Learned index structures achieve high performance by modeling the cumulative distribution function (CDF) of keys, but this reliance on data distributions introduces potential vulnerability to adversar…

Read Paper →
Computer Science Preprint PDF DOI

FEPLB: Exploiting Copy Engines for Nearly Free MoE Load Balancing in Distributed Training

Shuyao Qi, Haoyuan Liu, Shizhen Zhao · 2026

Fine-grained, per-micro-batch load balancing is essential for efficient Mixture-of-Experts (MoE) training, yet every prior dynamic scheduling scheme pays for it with extra communication that is hard t…

Read Paper →
Computer Science Preprint PDF DOI

UniEP: Unified Expert-Parallel MoE MegaKernel for LLM Training

Size Zheng, Xuegui Zheng, Li-wen Chang, Jidong Zhai · 2026

The exponential growth in Large Language Model (LLM) parameters has transformed model training into an increasingly resource-intensive endeavor. With the stagnation of Moore's Law and the widening dis…

Read Paper →
Computer Science Preprint PDF DOI

React-ing to Grace Hopper 200: Five Open-Weights Coding Models, One React Native App, One GH200, One Weekend

Alex Potanin · 2026

We evaluate five state-of-the-art open-weights coding language models -- Kimi-K2.5 (at Q3 and Q4 quantizations), GLM-5.1, Qwen3-Coder-480B, and DeepSeek-V3.2 -- on a single multi-file React Native app…

Read Paper →
Computer Science Preprint PDF DOI

Inter-Satellite Link Optimization for Low-Latency Global Networking

Arman Mollakhani, Jerayu Tiamraj, Shu-Jie Cao, Dongning Guo · 2026

Large-scale low-Earth-orbit satellite constellations offer a promising platform for global low-latency networking, aided by faster propagation in free space than in fiber and copper. In such systems, …

Read Paper →
Computer Science Preprint PDF DOI

An Engineering Journey Training Large Language Models at Scale on Alps: The Apertus Experience

Jonathan Coles, Stefano Schuppli, Lukas Drescher, Fawzi Roberto Mohamed, Elia Palme, Henrique Mendonca, Miguel Gila, Mark Klein, Maxime Martinasso, Joost VandeVondele, Torsten Hoefler, Thomas Schulthess, Josh Romero, Igor Gorodetsky, Ryan Hankins, Isa Wazirzada, Martin Jaggi, Antoine Bosselut, Imanol Schlag, Antoni-Joan Solergibert i Llaquet, Alejandro Hernandez Cano, Theofilos Ioannis Manitaras, Nicholas John Browning · 2026

Large Language Models (LLMs) have surged as a transformative technology for science and society, prompting governments worldwide to pursue sovereign AI capabilities that ensure data compliance and cul…

Read Paper →
Computer Science Preprint PDF DOI

sciwrite-lint: Verification Infrastructure for the Age of Science Vibe-Writing

Sergey V Samsonau · 2026

Science currently offers two options for quality assurance, both inadequate. Journal gatekeeping claims to verify both integrity and contribution, but actually measures prestige: peer review is slow, …

Read Paper →
Computer Science Preprint PDF DOI

On the Construction of Recursively Differentiable Quasigroups and an Example of a Recursive $[4,2,3]_{26}$-Code

Petr Klimov · 2026

In 1998, E. Couselo, S. Gonz\'alez, V. T. Markov, and A. A. Nechaev introduced the notions of recursive codes and recursively differentiable quasigroups. They conjectured that recursive MDS codes of d…

Read Paper →
Computer Science Preprint PDF DOI

On the Necessity of Pre-agreed Secrets for Thwarting Last-minute Coercion: Vulnerabilities and Lessons From the Loki E-voting Protocol

Jingxin Qiao, Myrto Arapinis, Thomas Zacharias · 2026

Coercion-resistance (CR) is a crucial security property in e-voting systems. It ensures that an attacker cannot compel a voter to vote in a specific way by using threats or rewards. The Loki e-voting …

Read Paper →
Computer Science Preprint PDF DOI

Hawkeye: Reproducing GPU-Level Non-Determinism

Erez Badash, Dan Boneh, Ilan Komargodski, Megha Srivastava · 2026

We present Hawkeye, a system for analyzing and reproducing GPU-level arithmetic operations. Using our framework, anyone can re-execute on a CPU the exact matrix multiplication operations underlying a …

Read Paper →
Computer Science Preprint PDF DOI

Sequence-Aware Split Heuristic to Mitigate SM Underutilization in FlashAttention-3 Low-Head-Count Decoding

Marti Llopart Font, Javier Hernando, Cristina Espana-Bonet · 2026

The standard FlashAttention-3 heuristic exhibits a GPU occupancy bottleneck in low-head-count decoding configurations because it disables sequence splitting based on sequence length alone, underutiliz…

Read Paper →
Computer Science Preprint PDF DOI

RUBICONe: Wireless RAFT-Unified Behaviors for Intervehicular Cooperative Operations and Negotiations

Zhenghua Hu, Tairan Dan, Zeyu Tao, Jiacheng Qian, Amedeo Morat, Lorenzo Romano, Alessandro Massafra, Hao Xu · 2026

Just as Caesar declared "alea iacta est" (the die is cast) upon crossing the Rubicone river, lane change decisions in autonomous vehicles also represent critical points of no return. RUBICONe addresse…

Read Paper →
Computer Science Preprint PDF DOI

Accelerating High-Order Finite Element Simulations at Extreme Scale with FP64 Tensor Cores

Jiqun Tu, Ian Karlin, John Camier, Veselin Dobrev, Tzanio Kolev, Stefan Henneking, Omar Ghattas · 2026

Finite element simulations play a critical role in a wide range of applications, from automotive design to tsunami modeling and computational electromagnetics. Performing these simulations efficiently…

Read Paper →
Computer Science Preprint PDF DOI

The Disintegration of Free Speech

Yiyang Mei · 2026

This Article examines the constitutional status of AI-mediated communication under the First Amendment. Social media platforms, increasingly integrated with generative AI systems, now function as core…

Read Paper →
Computer Science Preprint PDF DOI

The Ghost in the Grammar: Methodological Anthropomorphism in AI Safety Evaluations

Mariana Lins Costa · 2026

This essay offers a philosophical analysis of the field of AI safety based on recent technical reports, with particular focus on Anthropic's study on "agentic misalignment" in frontier language models…

Read Paper →
Computer Science Preprint PDF DOI

Malware Detection Through Memory Analysis

Sarah Nassar · 2026

This paper summarizes the research conducted for a malware detection project using the Canadian Institute for Cybersecurity's MalMemAnalysis-2022 dataset. The purpose of the project was to explore the…

Read Paper →
Computer Science Preprint PDF DOI

ALER: An Active Learning Hybrid System for Efficient Entity Resolution

Dimitrios Karapiperis, Leonidas Akritidis, Panayiotis Bozanis, Vassilios Verykios · 2026

Entity Resolution (ER) is a critical task for data integration, yet state-of-the-art supervised deep learning models remain impractical for many real-world applications due to their need for massive, …

Read Paper →
Computer Science Preprint PDF DOI

An Audit of Machine Learning Experiments on Software Defect Prediction

Giuseppe Destefanis, Leila Yousefi, Martin Shepperd, Allan Tucker, Stephen Swift, Steve Counsell, Mahir Arzoky · 2026

Background: Machine learning algorithms are widely used to predict defect prone software components. In this literature, computational experiments are the main means of evaluation, and the credibility…

Read Paper →
Computer Science Preprint PDF DOI

Data Siphoning Through Advanced Persistent Transmission Attacks At The Physical Layer

Alon Hillel-Tuch · 2026

Data at the physical layer transmits via media such as copper cable, fiber optic, or wireless. Physical attack vectors exist that challenge data confidentiality and availability. Protocols and encrypt…

Read Paper →
Computer Science Preprint PDF DOI

E2E-AEC: Implementing an end-to-end neural network learning approach for acoustic echo cancellation

Yiheng Jiang, Biao Tian, Haoxu Wang, Shengkui Zhao, Bin Ma, Daren Chen, Xiangang Li · 2026

We propose a novel neural network-based end-to-end acoustic echo cancellation (E2E-AEC) method capable of streaming inference, which operates effectively without reliance on traditional linear AEC (LA…

Read Paper →
Page 1 of 16 Next →