Computer Science

Learn how counterfactual explanations enhance decision-making in reinforcement learning agents.

A technique using transparent displays confuses camera recognition systems.

Learn how LLMs transform text analysis in social sciences.

A method using examples to guide agents in decision-making.

A new framework enhances fairness in algorithms using uncertain demographic information.

A new method improves both accuracy and robustness in deep learning models.

Explore how GNNs improve variable mapping for program comparison and repair.

A look at how one-step methods and critic regularization enhance RL performance.

Research reveals insights into how models handle math word problems.

Learn how LLMs transform text analysis in social sciences.

This article discusses how LLMs can assist low-resource programming languages like hansl.

New research highlights the importance of ripple effects in updating language models.

Researchers are enhancing large language models to better follow human instructions.

RBE combines rules and deep learning for effective hate speech detection.

A new method enhances translation accuracy for low-resource languages.

New research reveals the capabilities of Sumformer in improving Transformer efficiency.

Examining the balance of fairness and efficiency in resource allocation.

Learn methods to efficiently assign tasks and workers while minimizing costs.

A new concept that merges computation and thermodynamics in Turing machines.

Investigating the Pilot Assignment problem's theories in Cell-Free Massive MIMO.

A look into how geophylogenies visualize species and their geographic connections.

A look into methods of obtaining randomness from structured sources.

A look into graph theory's role in identifying structures.

Explores stable subsets in cycles and their applications in computer science.

A new method for designing sound filters with wider frequency handling.

Introducing STZINB-GNN, a better model for predicting traffic accidents and uncertainties.

Innovative models improve groundwater management and prediction accuracy.

Desbordante is an open-source tool for effective data profiling and quality improvement.

Introducing the BubbleML Dataset for advanced studies in boiling dynamics.

Learn the basics of multibody system dynamics and its applications.

New model enhances efficiency in analyzing material microstructures.

Learn how to optimize cloud costs with simple strategies and effective resource management.

A detailed look at topologically attributed graphs for efficient shape classification.

This study focuses on identifying paths in networks of disks.

Exploring light reliable spanners and their impact on networks.

A look at how Möbius homology reveals connections in posets.

Discover how convex polygons in 3D depict graph connections effectively.

A method for efficiently managing independent sets of disks in computational geometry.

Exploring a novel approach to calculating Betti numbers using quantum computing.

A guide to reducing dimensions in high-dimensional data while preserving distances.

A new framework for Liquid Democracy that considers time in voting decisions.

Examining the balance of fairness and efficiency in resource allocation.

Exploring how Q-Learning behaves in near-zero-sum competitive environments.

A study on Riemannian gradient descent and its application in complex game scenarios.

Examining how incentives shape statistical practices in scientific studies.

A look at factors influencing cooperation among individuals in shared resource scenarios.

Explore the dynamics and strategies of bidding games between players.

An analysis of decision-making in gambling with limited information.

Discover how dynamic path control improves image processing efficiency.

This study examines how LiDAR setups affect autonomous vehicles in off-road environments.

Examining the gap between model performance and real-world conditions.

A new method improves both accuracy and robustness in deep learning models.

A new method helps computers relate sketches to real images effectively.

A new method simplifies local edits in dynamic video content.

Discover how geometry enhances image editing using diffusion models.

New self-supervised methods improve predictions of future actions in videos.

Examining the impact of Mixed Reality on bystander privacy rights.

Opti-mile enhances public transit access in New Delhi, reducing travel distance and improving user experience.

High Courts in India face a severe backlog impacting justice delivery.

Investigating fairness in ML systems considering multiple protected attributes.

FreeText offers quick, personalized feedback for open-ended student responses.

A deep dive into the flaws of the RICE-N model on climate and economy.

Countries must unite to tackle climate change through cooperation and negotiation.

This article discusses a proposed negotiation protocol to tackle climate change challenges.

Examining sensor selection to ensure effective behavior monitoring while respecting privacy.

A look at the evolving dynamics of decentralized finance lending.

A technique using transparent displays confuses camera recognition systems.

Examining the impact of Mixed Reality on bystander privacy rights.

New methods improve watermarking in AI-generated text without sacrificing quality.

Learn about information leakage and strategies to protect sensitive data.

Recent backdoor attacks expose risks in voice identification technologies.

Examining the vulnerabilities of random rounding in Canadian census data.

Explore activation costs and challenges in efficient network connectivity.

A study on scheduling jobs efficiently using two machines and one server.

A new method improves clustering efficiency in changing data environments.

Discover efficient methods for analyzing maximal common subsequences in strings.

A look at how k-means++ handles noise in data clustering.

This study presents a method for improving Regular Path Queries using Boolean matrices.

Exploring how Fermat distances improve data analysis and clustering techniques.

A look into graph theory's role in identifying structures.

MorphStream improves data stream management for real-time applications.

A new approach to make ranking systems fairer for all groups.

Auto-Tables automates the conversion of non-relational tables for easier data analysis.

This study presents a method for improving Regular Path Queries using Boolean matrices.

Desbordante is an open-source tool for effective data profiling and quality improvement.

A new approach to handle missing data in SQL without nulls.

Introducing a new model for improved air quality predictions.

Exploring how blockchain technology can reshape copyright management for creators.

A new dataset captures citations from papers without DOIs in Computer Science.

A new method for extracting keywords from texts without external databases.

Research is evolving to include essential datasets and software for validation.

A novel method aids in recognizing uncertainty within research texts.

A tool for maintaining confidentiality and integrity in research data management.

An overview of key papers on NLP and ML from early 2023.

A resource connecting global authors and works, focusing on underrepresented voices.

Examining how skill alignment enhances research outcomes in academic institutions.

Explore how Condorcet domains shape collective decision-making in voting.

Exploring the balance of graph colorings and their implications in mathematics.

A look into how geophylogenies visualize species and their geographic connections.

A look into methods of obtaining randomness from structured sources.

Exploring how vertices work together in graph structures.

Examining different game models of Cops and Robber on directed graphs.

A look into independent sets, Boolean networks, and their complexities.

A look at how data cohesion improves analysis and clustering.

MorphStream improves data stream management for real-time applications.

EdgeConvEns improves deep learning while keeping data private and secure.

HUGE simplifies graph embedding for large datasets using TPUs.

A new algorithm streamlines communication in feature-distributed data analysis.

An overview of labeled graphs and their verification properties.

A new approach streamlines transaction processing in decentralized systems.

A new marketplace that democratizes AI model training and data sharing.

Explore strategies to enhance information sharing in large networks.

Exploring the role of STT-MTJ technology in enhancing random number generation.

A novel method enhances DNN performance for real-world applications.

This article explores new computing methods inspired by biological systems.

A new method improves Ising machines' efficiency in solving complex optimization problems.

A look into hyperdimensional computing's methods and benefits.

Exploring the dangers of backdoor attacks in Quantum Neural Networks.

Exploring how to measure and improve the reliability of NISQ devices.

New framework improves QNN training with encrypted data and privacy protection.

Research focuses on minimizing registers in weighted and cost register automata.

A look into counter nets, their functions, and unresolved questions.

A method for analyzing and categorizing complex systems through partitioning.

Explore the dynamics and strategies of bidding games between players.

This article discusses regular languages and their significance in formal systems.

An overview of tree transducers, focusing on macro tree transducers and their key properties.

A look into how forgetting-limited automata process information and compare to other machines.

Exploring new definitions and applications of Dyck languages in two dimensions.

New tools improve learning experiences for medical students studying anatomy.

Streamlining the creation of SDQ meshes for better fabrication processes.

A new method improves the creation of realistic character movements in animation.

A new method to explore periodic behaviors in datasets over time.

A new tool streamlines the process of creating animated text using GIFs.

A method for artists to easily manage textures and shapes in their work.

A look into how ML and human input shape effective taxonomies.

A new approach to improve graphics quality in video games through neural networks.

Neuromorphic computing offers new ways to process data inspired by the human brain.

A new approach improves polynomial modular multiplication for secure data processing.

A look at how reservoir computing tackles time-dependent data challenges.

MASE simplifies and speeds up ML accelerator development for modern machine learning models.

BearingPGA-Net offers an efficient way to diagnose bearing faults using FPGA technology.

New codes improve memory device reliability against soft errors effectively.

Exploring risks of data leaks in CPU-GPU integrated systems.

PATRONoC improves data transfer efficiency in deep learning applications.

Exploring how user personality affects engagement strategies in mobile apps.

A university initiative aims to cut food waste through engagement and awareness.

A method for developers to create TV-friendly app designs efficiently.

New tools improve learning experiences for medical students studying anatomy.

A new tool improves how charts and captions align for better reader retention.

Study shows game-based learning outperforms video-based learning in student engagement.

A tool that simplifies animal behavior research for all scientists.

Examining the importance of trust and skepticism in AI usage.

HeteFedRec improves federated recommendation systems while protecting user privacy.

These models enhance user engagement by focusing on the context of interactions.

Improving recommendations for users with unique tastes.

A new method enhances item suggestions for better user experiences.

This article discusses the importance and future of semantic information retrieval.

A study introduces automated methods for evaluating dog behavior, reducing bias and improving efficiency.

New model enhances predictions for bladder cancer therapy outcomes using patient traits.

A novel approach enhances recommendation systems using offline RL and transformer models.

Examining how specific functions can perfectly reconstruct random variables.

A new method enhances device communication in wireless networks.

A look at a two-phase access method for efficient IoT communication.

CAZAC sequences enhance performance in communication systems through unique properties and techniques.

A look into CSS codes and their role in quantum error correction.

Feature selection simplifies data analysis by identifying key variables.

Addressing fairness in machine learning to ensure equal treatment for all groups.

An overview of hypergraphs and their applications in various fields.

A deep dive into the essential qualities of reversible computation systems.

Learn how asynchronous programming improves efficiency and code structure.

An overview of the significance and application of parametric subtyping in programming.

A new method for analyzing functional programs using higher-order term rewriting systems.

This article examines call-by-value higher-order rewriting in programming.

A new approach to analyzing Hercules' fight against the Hydra using term rewriting.

Exploring the link between continuity and type theories in programming.

A look into using SSR processors for program termination analysis.

Learn how counterfactual explanations enhance decision-making in reinforcement learning agents.

Examining the gap between model performance and real-world conditions.

A method using examples to guide agents in decision-making.

A new framework enhances fairness in algorithms using uncertain demographic information.

A new method improves both accuracy and robustness in deep learning models.

Explore how GNNs improve variable mapping for program comparison and repair.

New methods enhance the efficiency of Spiking Neural Networks through reduced firing.

A look at how one-step methods and critic regularization enhance RL performance.

Open-source toolkit enhances Raman spectroscopy analysis across various studies.

FFTc aims to improve FFT computations across hardware platforms.

Examining how one factor influences another through data and methods.

Scylla offers an efficient method for tackling mixed-integer optimization problems.

Streamline causal analysis using Tetrad combined with Python and R.

Graph4J offers an efficient Java library for graph algorithms using simple structures.

Exploring new methods for efficient data storage and computation.

Discover EDOLAB, a platform for tackling changing optimization problems.

Examining sensor selection to ensure effective behavior monitoring while respecting privacy.

A new method improves fairness in participatory budgeting by promoting dialogue among voters.

A new approach to improve private data trading accuracy and privacy.

This paper introduces responsibility anticipation for better decision-making in multi-agent interactions.

AI research focuses on improving human-like communication in artificial agents.

MetaGPT enhances collaboration among agents for more effective task-solving.

A new framework improves safe learning among robotic agents by addressing experience sharing risks.

A new method enhances federated learning security against data poisoning attacks.

A new approach to enhance image labeling accuracy in machine learning.

A new method improves action recognition by using fewer frames without losing important context.

A new method enhances how images match text inputs.

Exploring how blockchain technology can reshape copyright management for creators.

A new way to assess health using just a smartphone image.

A new tool streamlines the process of labeling video data effectively.

A new method combines image style and content to interpret emotions accurately.

FAST revolutionizes scene text editing with natural modifications and flexibility.

Exploring AI's role in managing complex 6G network demands.

New algorithms enhance video streaming quality and reduce interruptions.

A look into how users feel about Starlink's internet service.

A look into the rise of larger IPv6 address lists and their implications.

Learn how to enhance wireless networks for critical industries.

Explore strategies to enhance information sharing in large networks.

This article discusses multicast polling to enhance IoT network efficiency and energy use.

A tool transforms single-threaded network functions into efficient multi-threaded versions.

New methods enhance the efficiency of Spiking Neural Networks through reduced firing.

New method enhances learning in Spiking Neural Networks by incorporating delay adjustments.

RAVENS mimics brain function to create adaptive computer chips.

A look at how reservoir computing tackles time-dependent data challenges.

Quantum state assignment flows enhance data analysis through flexible label assignments.

Exploring new methods for training recurrent neural networks effectively.

Exploring biological insights to enhance Deep Learning technologies.

This article examines how biological models enhance AI through spiking neural networks.

New methods address challenges in modeling materials and irregular shapes.

A look at operator learning and the HJ-Net framework for PDEs.

Exploring the Hyena Neural Operator's efficiency in solving partial differential equations.

This article presents a novel method for addressing complex advection-dominated diffusion challenges.

This article highlights reduced order models for solving fractional elliptic PDEs efficiently.

Using deep neural networks to analyze heat conduction data and identify potential functions.

Learn how the Arnoldi algorithm aids in matrix function approximations.

New methods improve accuracy and efficiency in electromagnetic simulations.

LibPreemptible improves scheduling in cloud applications, reducing delays and enhancing performance.

Addressing the need for accurate sustainability in data centers.

Introducing a framework for better application isolation and resource sharing.

Analyzing issues in predicting future actions in ongoing processes.

Learn how compartmentalization improves software security by limiting access and interaction.

A new method for efficient data sharing between cloud functions.

This article reviews Linux API usage in various applications and highlights key findings.

A look at new systems improving insulin delivery and blood sugar monitoring.

A new framework helps scientists communicate and design better experiments.

A clear overview of work systems, their components, and management challenges.

A tool combining Selenium and JUnit 5 to streamline web application testing.

Examining risks and impacts of modded apps on users and developers.

Examining the links between living brains and computer systems.

Innovative methods aim to improve parking management in busy cities.

A fresh approach offers deeper insights into cancer driver genes and their interactions.

Researchers create digital copies of animals for ethical and efficient studies.

Analyzing data transmission issues in modern cellular networks and possible improvements.

A deep dive into FaaS performance and its impact on cloud computing.

A new automatic scheduler improves performance for image processing on edge devices.

A new processing unit improves computing with posit numbers.

Federated Learning enables data privacy while improving machine learning collaboration among diverse participants.

Industry and academia unite for better biomedical data processing.

Study analyzes CrUX dataset to improve web user experience metrics.

Explore a new method for efficient storage of sparse matrices to enhance performance.

An overview of essential ideas for effective process development.

Learn how asynchronous programming improves efficiency and code structure.

An overview of the significance and application of parametric subtyping in programming.

This study reviews API contract requirements found in developer discussions online.

This article examines how language models generate Verilog code effectively.

This article reviews the RRTF framework's impact on Code LLM performance.

Learn how lintcstubs enhances OCaml-C code safety and correctness.

nelli makes working with MLIR easier for developers.

Examining sensor selection to ensure effective behavior monitoring while respecting privacy.

This study examines how LiDAR setups affect autonomous vehicles in off-road environments.

A method using examples to guide agents in decision-making.

Drones are changing how we paint and maintain bridges safely and efficiently.

Examining how AI uses varied information for decision making.

A soft robotic gripper simplifies the way robots handle and move objects.

Innovative methods for real-time area coverage using robotic systems.

BeTrans helps robots adapt to changing human behavior for better collaboration.

A novel approach to identify misinformation using browsing patterns.

A new method leverages machine learning for identifying unknown disturbances in complex networks.

Study reveals key roads impacting hospital access during emergencies.

A new framework improves robustness of Graph Contrastive Learning against structural attacks.

Using deep learning to detect hate speech on social media.

An overview of hypergraphs and their applications in various fields.

Understanding how social media shapes perceptions of information reliability.

A study on user awareness and effectiveness of YouTube's recommendation features.

A review of strategies and measures in software process improvement initiatives.

A look at software practices that can boost startup success.

A framework to evaluate the effectiveness of software process improvements.

This article discusses how LLMs can assist low-resource programming languages like hansl.

Explore how GNNs improve variable mapping for program comparison and repair.

A method for developers to create TV-friendly app designs efficiently.

Investigating fairness in ML systems considering multiple protected attributes.

Using Machine Learning to predict code coverage streamlines software testing processes.

Improving speech recognition for overlapping voices enhances usability in various settings.

New methods enhance voice separation in mixed audio environments.

Learn how new techniques improve speech clarity in noisy environments.

A new method for making voice synthesis more personal using less speech data.

New methods improve sound localization using distributed microphone arrays.

This study examines methods to protect privacy while analyzing spoken conversations.

Recent backdoor attacks expose risks in voice identification technologies.

A new model improves speech extraction from noisy backgrounds using deep learning.

This article explores a new dataset focused on inequalities in mathematics.

Examining how factoring resultants can enhance cylindrical algebraic decomposition methods.

This article simplifies linear differential equations and their characteristics.

This article examines conditional obligations and their significance in ethical reasoning.