Computer Science

A new method merges high-quality rendering with fast performance using Tri-MipRF.

A new approach to teaching robots how to tidy up using language and images.

Learn how XLDA efficiently processes large data sets and adapts to new classes.

Research shows promise in using synthetic images for effective polyp segmentation.

Neuromorphic computing enhances data filtering in high-energy physics experiments.

Examining reinforcement learning methods in the MuJoCo environment for robot control.

Approximate Computing balances quality and efficiency in today's tech landscape.

A new image editing model uses language instructions for intuitive edits.

Discover new methods to enhance chatbot responses and improve user interactions.

A new method enhances how language models assess their confidence in predictions.

A framework improves language models for better medical entity recognition.

Enhancing feedback systems for English learners by addressing the cold start problem.

A look at how scattered factors reveal relationships in language.

A method to refine language model outputs using existing predictions.

A new framework enhances clarity in scientific figure captions using expert input.

Explore the growth and trends in natural language processing research.

A deep dive into the challenges of computational problem-solving.

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.

PINNsFormer enhances accuracy in solving partial differential equations using advanced Transformer structures.

A study on deep learning algorithms for optimizing investment portfolios.

Machine learning techniques are transforming solid mechanics through faster and more efficient problem-solving.

Essential tips for submitting your machine learning research to ICML.

Combining accuracy and clarity in engineering through machine learning and symbolic regression.

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.

A new algorithm for grouping similar movement paths in large datasets.

Effective algorithms for optimal facility placement in continuous client distributions.

Exploring methods for learning about polytopes through hyperplanes.

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 look at how budget choices impact bidding in online advertising.

Explore how causal models clarify various decision-making theories.

Exploring the essentials of fair division in daily resource distribution.

This article presents a model for improving user engagement through evolving preferences.

An overview of effective bidding methods for wireless communication licenses.

New methods help players improve poker strategies while minimizing risks.

A study on effective matching for maximizing project value in organizations.

Exploring fair allocation methods using Maximin Share principles.

New methods enhance accuracy in license plate recognition systems.

A new method merges high-quality rendering with fast performance using Tri-MipRF.

Learn how XLDA efficiently processes large data sets and adapts to new classes.

A new method improves video colorization using real-time tuning techniques.

Research shows promise in using synthetic images for effective polyp segmentation.

Cold Diffusion offers faster MRI processes while maintaining high image quality.

New techniques aim to improve image quality and reduce generation time.

A new image editing model uses language instructions for intuitive edits.

A new approach to estimate financial risks from cyberattacks using real data.

VoteLab makes voting experiments easier and more accessible for researchers and decision-makers.

An analysis of case delays and the impact of technology on Indian courts.

New methods improve model training efficiency and privacy in deep learning.

Introducing friction can enhance content quality shared on social platforms.

Examining recovery strategies after Hurricane Harvey using agent-based modeling.

Examining how technology can reduce traffic accidents and enhance road safety.

Exploring the role of AI and data in humanitarian efforts.

A new method combines formal analysis and fuzz testing to improve 5G security.

A new approach to estimate financial risks from cyberattacks using real data.

Examining how mempool privacy impacts transactions and fairness in blockchain systems.

This article examines player actions in CTF competitions for training improvements.

Insights into Bitcoin's structure, user behavior, and network changes over time.

This study examines the ReVeal model's effectiveness in detecting code vulnerabilities.

Deep learning faces serious risks from adversarial attacks that mislead systems.

A new method ensures secure data transfer in hardware designs.

Efficiently handles bulk data in real-time applications.

A new algorithm for grouping similar movement paths in large datasets.

This article discusses creating fair hashmaps for equitable data management.

Research reveals new methods for fitting ellipsoids to random data points.

An overview of the weighted -server problem and its complex solutions.

Learn how distance oracles improve pathfinding in complex networks.

A new approach to maintain fairness in machine learning clustering algorithms.

A new method tackles the Shortest Two Disjoint Paths problem amidst negative weights.

Beep improves pattern mining efficiency and effectiveness in racket sports analysis.

Efficiently handles bulk data in real-time applications.

This article discusses creating fair hashmaps for equitable data management.

Addressing client failures in disaggregated memory systems through transactional indexes.

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.

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.

Exploring efficient patrolling methods using insights from the Fagnano Triangle problem.

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.

Exploiting GPUs to tackle complex assignment challenges in logistics and manufacturing.

In-network storage caches enhance data access for global scientific projects.

A new method for improved fairness in federated learning client selection.

A new framework enhances state management for network functions in virtualized environments.

A look at communication security in decentralized federated learning systems.

New methods improve model training efficiency and privacy in deep learning.

A study on improving deep learning models for limited-resource IoT systems.

Exploring the role of PAIaaS in enhancing AI capabilities with 6G technology.

Approximate Computing balances quality and efficiency in today's tech landscape.

Approximate computing enhances efficiency and power savings in various applications.

Researchers enhance neural networks using neuromorphic chips for better decision-making.

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.

This research reveals strong links between planar machines and specific language types.

A look into the role of good-for-MDPs automata in decision-making processes.

Exploring the role of saturating automata in understanding concurrent programming.

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.

A new method merges high-quality rendering with fast performance using Tri-MipRF.

A new image editing model uses language instructions for intuitive edits.

LLNeRF enhances image quality for better 3D representations in low light.

New method improves 3D modeling accuracy from just one image.

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.

Approximate Computing balances quality and efficiency in today's tech landscape.

Approximate computing enhances efficiency and power savings in various applications.

Safety islands enhance HPC devices for critical applications like self-driving cars.

MARS framework optimizes deep neural networks on multi-accelerator systems.

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.

Examining the role of gestures in VR for effective human-robot communication.

Participants experience digital games through Electrical Muscle Stimulation, blurring the lines of play.

A new gaming approach uses the body as both input and output.

Innovative editors simplify coding by enhancing user interaction with JSON-based languages.

Examining how dialogue management shapes human-robot interactions.

A new tool supports designers in monitoring their emotions during the creative process.

AniBalloons enhance text messaging by adding emotional animations.

Learn how LiveRetro helps sellers enhance their livestream shopping strategy with data analysis.

A new approach to estimate financial risks from cyberattacks using real data.

MythQA detects false claims in social media to support accurate information.

XWalk transforms product searches by treating them as recommendations, improving e-commerce effectiveness.

RANSAC-NN offers a fresh method for detecting outliers in image datasets without prior data cleaning.

Study reveals how user ratings impact the effectiveness of recommendation systems.

Exploring how item removal affects recommendations in sequential systems.

RRAML combines language models with a retriever for improved content generation.

A new model enhances shopping experiences through category-focused suggestions.

A new approach enhances relay network performance using deep learning concepts.

A novel algorithm streamlines one-bit MIMO detection for enhanced wireless communication.

The TSAR framework enhances AR communication by focusing on essential information transfer.

An overview of GNNs, their features, and training dynamics.

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 new logical framework strengthens multi-agent systems against unexpected changes.

New methods improve efficiency in logical proof generation and checking.

A look into non-normal modal logics enhancing agent interactions and reasoning.

A structured approach to teaching formal reasoning using calculational proofs and proof checkers.

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.

MOP-UP reveals hidden variations in complex datasets through innovative dimension reduction techniques.

Discover new methods to enhance chatbot responses and improve user interactions.

Examining the role of gestures in VR for effective human-robot communication.

Learn how XLDA efficiently processes large data sets and adapts to new classes.

A new method enhances how language models assess their confidence in predictions.

Examining how opinions shift through various interaction rules in networks.

Neuromorphic computing enhances data filtering in high-energy physics experiments.

Cold Diffusion offers faster MRI processes while maintaining high image quality.

Exploiting GPUs to tackle complex assignment challenges in logistics and manufacturing.

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.

OMIGA enhances offline multi-agent learning by integrating global and local learning strategies.

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 model enhances speech extraction using audio and visual information.

RetouchingFFHQ dataset enhances face retouching detection methods.

Study uses multi-data device to track infant sleep patterns more accurately.

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.

In-network storage caches enhance data access for global scientific projects.

A new framework enhances state management for network functions in virtualized environments.

A new method enhances reliability in satellite communication systems through intelligent packet handling.

A look at communication security in decentralized federated learning systems.

Exploring the role of PAIaaS in enhancing AI capabilities with 6G technology.

Innovative approaches enhance data privacy and model performance in connected devices.

A new network design can reduce costs in training large language models while maintaining performance.

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

Neuromorphic computing enhances data filtering in high-energy physics experiments.

New linear models challenge traditional methods in sequence data processing.

An overview of pruning and quantization methods applied to YOLOv5.

Examining various strategies for effective optimization in finite and infinite search spaces.

Researchers enhance neural networks using neuromorphic chips for better decision-making.

Machine learning techniques are transforming solid mechanics through faster and more efficient problem-solving.

Discover the latest innovations in portfolio optimization and risk management.

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

MOP-UP reveals hidden variations in complex datasets through innovative dimension reduction techniques.

New methods improve efficiency in solving complex parametric PDEs.

A new algorithm offers reliable dimension estimates for networks.

New methods offer efficient solutions for complex mathematical equations with rapid decay.

This method improves fluid flow analysis by reducing computations while maintaining accuracy.

This article examines how social media influences opinion change and dynamics.

A new framework enhances clustering accuracy and efficiency for vast data collections.

A new approach using MUSIC algorithm for microwave imaging without traditional devices.

Discover how ZNS devices simplify SSD data management and improve efficiency.

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 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.

Innovative editors simplify coding by enhancing user interaction with JSON-based languages.

Approximate Computing balances quality and efficiency in today's tech landscape.

Approximate computing enhances efficiency and power savings in various applications.

Examining difficulties in finding strong invariants for polynomial loops and their implications.

Exploring the role of saturating automata in understanding concurrent programming.

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.

Examining the role of gestures in VR for effective human-robot communication.

A new approach to teaching robots how to tidy up using language and images.

This research improves robot movements for safe transport of solids and liquids.

Examining how dialogue management shapes human-robot interactions.

A new approach enhances depth estimation with diverse training data.

A new method enhances data sharing between agents for better accuracy.

A new method enhances safety testing for self-driving vehicles.

Pyrus makes soccer simulation research more accessible for newcomers using Python.

Examining how opinions shift through various interaction rules in networks.

A new algorithm offers reliable dimension estimates for networks.

This article presents a new hub model for neural networks based on brain structures.

Introducing friction can enhance content quality shared on social platforms.

Explore how changing student connections impact learning outcomes.

A look into indirect methods for understanding social networks.

A novel approach to identify misinformation using browsing patterns.

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

Examining the role of software analytics in quantum computing.

Examining bias in machine learning code reviewer systems.

Live Refactoring boosts developer efficiency and code quality with real-time suggestions.

Learn how Software Product Line Engineering and transplantation can enhance development efficiency.

A deep look into the testing methods for physical simulation engines.

A new method enhances safety testing for self-driving vehicles.

Research focuses on the importance of result stability in neuroimaging tools.

This study investigates the link between Technical Debt and security in software development discussions.

Enhancing feedback systems for English learners by addressing the cold start problem.

Researching methods to locate sound sources from wind turbines for noise reduction.

Introducing a new model for identifying singing techniques in audio tracks.

A new model enhances speech extraction using audio and visual information.

Wespeaker simplifies speaker recognition with user-friendly tools and pretrained models.

A new method transforms mono signals into engaging stereo experiences.

A study on improving emotion detection in speech for diverse groups.

Study uses multi-data device to track infant sleep patterns more accurately.

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.

Combining machine learning with reasoning to improve decision-making capabilities in dynamic environments.

Language agents merge AI and decision-making for real-world tasks.

FMplex improves the efficiency of solving linear equations and inequalities.

Study of yeast kinases sheds light on cell signaling.

Examining how opinions shift through various interaction rules in networks.

This research improves robot movements for safe transport of solids and liquids.

A framework for optimizing performance in shared infrastructure systems.

Gibbs sampling enhances the efficiency of multi-object tracking, simplifying complex estimation processes.

A new energy management system for robots working in unfamiliar areas.

A study on improving firewall deployment for better protection in power networks.

Assessing risks in obstacle detection systems for low-speed autonomous trains.

New methods improve safety and performance of Anti-lock Brake Systems.