Computer Science

Investigating the impact of crosstalk on quantum circuit performance and accuracy.

Vid2Robot enables robots to learn tasks just by watching videos.

Robots learn to adapt and improve by receiving real-time human feedback.

A guide to understanding music similarity in generative models.

A new framework aims to cut carbon footprints in large language models.

Vampire prover improves performance through diverse strategies and optimized scheduling.

Unlock efficient payroll systems with adaptable programming and easy decision-making.

A new model enhances performance prediction in neural networks through improved information flow.

A look at how Linear Transformer Blocks improve language models through in-context learning.

This paper shows how NLP aids research in energetic materials.

A new framework aims to cut carbon footprints in large language models.

A study comparing multilingual and monolingual models' explanations and their faithfulness.

New dataset and methods enhance NER for Bavarian dialect recognition.

Introducing the IC method to improve math problem-solving accuracy.

A new collection supports language technology for South Slavic languages.

This study assesses how well language models grasp implied meanings in Korean.

A look at efficient data compression and retrieval methods.

Exploring methods to enhance agreement testing with low acceptance rates.

This article discusses the minimum depth for circuits encoding error-correcting codes.

A new approach to streamline role-based access control.

Exploring Dense-Sparse LPN and its potential in cryptographic security.

Examining the challenges of sampling from Hamming weight distributions.

Examining the complexities of learning Boolean functions with averaged labels.

Examining the challenges of locating kings in directed graphs.

A look at methods to improve model predictions and reduce uncertainty.

Research into KRAS inhibitors highlights innovative approaches in drug discovery.

Examining methods for better signal detection through integer solutions.

Discover how DeepONet improves manufacturing predictions and optimizes processes.

Exploring how UDEs advance understanding of neural systems through modern techniques.

This new model predicts 3D shape behavior faster and more accurately.

GUDR enhances UDR for better accuracy in uncertainty quantification.

New techniques improve uncertainty quantification for complex engineering models.

Polylla offers efficient polygonal mesh generation using GPUs for various applications.

A new method simplifies calculations on polygonal shapes directly.

Improving methods for fitting polygons in computational geometry.

Robots learn to identify arena shapes through local communication and teamwork.

Exploring the manipulation of non-piercing curves and their importance in various fields.

A look at rectangulations and their significance across various fields.

A formal proof confirms the Empty Hexagon Number using computational methods.

A method for creating and visualizing shapes that change over time.

Research into KRAS inhibitors highlights innovative approaches in drug discovery.

An analysis of claims trading to stabilize distressed banks and manage systemic risk.

Exploring how agents adapt their strategies in complex networked systems.

Exploring how connections influence cooperation in social networks.

An analysis of resource allocation and competition strategies in Colonel Blotto games.

Exploring new methods for equitable profit distribution among players in cooperative games.

A look into how player interactions shape cooperative game outcomes.

Analyzing resource allocation in competitive scenarios across various sectors.

New techniques enhance image clarity by improving cloud removal methods.

A novel approach enables agents to learn tasks from text descriptions.

Enhancing the learning capabilities of AI models through better training methods.

New methods reduce radiation exposure while improving PET scan quality.

A new method hides sensitive details in action recognition videos.

Foundation models like CLIP present both opportunities and hidden dangers in AI.

Examining energy management techniques in complex systems across various fields.

Learn about a new method for quick image editing using just one picture.

This study investigates how social bots influence online discussions about climate activism.

An overview of teaching methods and resources in Constraint Programming.

This paper examines the impact of location on fairness in AI systems.

The Model Openness Framework sets standards for transparency and trust in AI development.

Examining public views on AI benefits, risks, and the need for diverse voices.

Examining the ethical concerns of Large Language Models in medicine.

New approach gives users a say in handling toxic language.

A study reveals the privacy concerns of browser fingerprinting and its implications for users.

Machine unlearning allows models to forget data, essential for data privacy compliance.

New methods improve data security and efficiency for smart technology.

TagS enhances cybersecurity by using real-time detection and efficient resource management.

New techniques improve security against harmful input in language models.

New method improves vehicle privacy and safety in Intelligent Transportation Systems.

A secure scheme for vehicle communication enhances safety and privacy.

A study on estimating mining power uncertainties in blockchain systems.

A new method to protect machine learning models from malicious data attacks.

Dynamic adjustment of data structures for efficient performance under varying workloads.

A new approach to handle indexing of uncertain strings effectively.

A novel method using Fourier transforms for better data moment estimation.

New methods improve efficiency in graph coloring and bandwidth coloring challenges.

A look at efficient data compression and retrieval methods.

A look at how quantum backtracking improves solving complex problems like Sudoku.

A novel approach to address variable costs in economic lot-sizing.

A new method reduces data needs for accurate logistic regression predictions.

Improving efficiency in Datalog through semirings and grounding techniques.

A new approach to handle indexing of uncertain strings effectively.

Learn how to find and combine data for better table creation.

A systematic approach to enhance POI predictions using remote sensing data.

A novel method using Fourier transforms for better data moment estimation.

A new framework for training models without sharing sensitive data.

Discovering lasting patterns in changing graphs with quick algorithms.

Automated tool GGDMiner helps uncover relationships in graph data effortlessly.

Examining the rise of scientific misconduct and its impact on research quality.

A new framework aiding research in the complex art market.

A new score measures publication impact by balancing citations and publication age.

Enhancing dataset descriptions for better compliance and usability.

A look at shared knowledge and its role in society.

Researchers develop new ways to analyze web data from Common Crawl archives.

A practical approach to improve data handling in cultural heritage through CHAD-AP.

This study uses computational methods to analyze running titles in historical texts.

Study the transition from rational subsets to bounded regular languages through automata.

Exploring the Non-Cancelling Intersections Conjecture's impact on set theory.

New methods improve efficiency in graph coloring and bandwidth coloring challenges.

A new method improves AI's reasoning and decision-making clarity.

A study on finding maximum-sized properly colored forests in graph theory.

Exploring minimal local sets and their role in graph theory.

A look at rectangulations and their significance across various fields.

A look into how Boolean networks model complex systems and their dynamic behaviors.

A new framework aims to cut carbon footprints in large language models.

A new approach combining weight and token pruning for efficient image processing.

Streamlining the calibration process for more accurate simulations in distributed computing.

Dynamic adjustment of data structures for efficient performance under varying workloads.

Discover how distributed algorithms streamline resource allocation among agents.

FedMef improves federated learning for low-resource devices through innovative pruning techniques.

Exploring methods to achieve faster transaction finality on the Ethereum network.

A novel method using Fourier transforms for better data moment estimation.

A new method addresses DNA data storage challenges for better reliability.

Learn how DNA storage could change data archiving with variable payload lengths.

A new method uses quantum computing to tackle complex delivery routing challenges.

SiNPhAR utilizes silicon nitride to enhance photonic acceleration in deep learning tasks.

Examining the intersection of neurotechnology and privacy concerns.

A new system uses vehicles and quantum computing for faster gas leak detection.

This study identifies vital hyperparameters for training quantum neural networks effectively.

Exploring quantum algorithms' role in detecting financial crimes.

Study the transition from rational subsets to bounded regular languages through automata.

This article discusses how robots can better understand human preferences in task execution.

This article discusses how data-driven methods improve control systems through simplified models.

A new method for robot planning improves adaptability in changing environments.

This article explores how q-deformed coefficients enhance our understanding of word patterns.

Exploring the new -deformations in Parikh matrices and their implications in combinatorial studies.

A new method automates analysis of probabilistic program outputs.

A study on implicit automata and affine logic for string transformation.

Polylla offers efficient polygonal mesh generation using GPUs for various applications.

Learn how Bounded Attention enhances image clarity for multiple subjects.

Introducing an efficient bitmap method for automatic label placement in charts.

This article presents a systematic method for handling colors in computer graphics.

Study shows weak labels enhance gloss prediction accuracy while reducing manual effort.

A new method enhances the stitching of Bezier patches for better surface modeling.

A novel approach improves high-resolution holography processing and memory usage.

A method that combines language and physical properties for dynamic 3D scene creation.

A new approach combining weight and token pruning for efficient image processing.

A new method improves memory access prediction and reduces unnecessary DRAM transactions.

SiNPhAR utilizes silicon nitride to enhance photonic acceleration in deep learning tasks.

Optimizing CNN performance on FPGAs through memory management techniques.

Learn how IEEE 1394 ensures reliable data transmission through its layered structure.

New model improves circuit design prediction through directed hypergraphs.

A new design improves spiking neural networks for flexible research.

Analyzing hardware and software for efficient quantum computing solutions.

Creating effective visual tools that cater to older adults' needs.

A guide on combining AI with robots for safer and efficient operations.

This article examines parents' views on using learning robots with their children.

New method improves user behavior representation and engagement.

Examining the role of communication in fairness decisions within AI systems.

Using language models to enhance training for peer counselors.

This paper explores how semantic decoding improves AI teamwork and outputs.

Examining the impact of shared gaze on surgical training and teamwork.

Learn about the efficiency of generative retrieval in document searching.

New method improves user behavior representation and engagement.

This paper examines new strategies for enhancing document retrieval through token pruning.

Slipstream speeds up recommendation models by skipping unnecessary updates.

A systematic approach to enhance POI predictions using remote sensing data.

A new dataset helps IR models adapt to complex instructions for better performance.

Learn how ghost sentences can help users safeguard their personal data online.

Learn how feature attribution explains ranking decisions in automated systems.

Learn how robust Gray codes minimize errors in data processing.

A study on adaptive relaying codes for better data communication.

Examining energy management techniques in complex systems across various fields.

Combining sensing and communication for efficient technology solutions.

Examining how large models efficiently learn from minimal data.

Exploring Golay Complementary Sequences and their significance in engineering and communications.

New findings improve interactive capacity for reliable communication in noisy environments.

A look into methods for evaluating space collision risks and uncertainties.

Vampire prover improves performance through diverse strategies and optimized scheduling.

Unlock efficient payroll systems with adaptable programming and easy decision-making.

Discover the basics and significance of dependent type theory in computation.

Learn how SSR enhances proof management in Lean 4.

A new dataset improves LLMs' ability to generate Coq code and proofs.

A new logic improves the study of agent interactions in complex systems.

Differentiable logics enhance machine learning through improved formal verification and training techniques.

This article discusses new developments in cohomology using Homotopy Type Theory.

A look at how Linear Transformer Blocks improve language models through in-context learning.

New techniques enhance image clarity by improving cloud removal methods.

Robots learn to adapt and improve by receiving real-time human feedback.

A new framework aims to cut carbon footprints in large language models.

Investigating the challenges of sparse linear regression through lattice problems.

A new method enhances robotic hands' ability to manage soft objects.

Machine unlearning allows models to forget data, essential for data privacy compliance.

A new model enhances performance prediction in neural networks through improved information flow.

A new framework aims to improve DSL interoperability and efficiency in HPC.

A look into Appell and Lauricella functions and their impact on scientific calculations.

CBC3D offers improved mesh generation for surgical planning and simulations.

GeoFlood helps predict water spread during floods, improving safety and preparedness.

SUGAR simplifies geometric algebra for engineers and mathematicians using Matlab.

Learn how Python aids in minimizing energy in complex systems.

A tool to generate and analyze synthetic sparse tensors in various fields.

Discover how LaSDI transforms complex simulations into efficient models.

A new logic improves the study of agent interactions in complex systems.

Examining pricing strategies for effective ride-pooling services and their impact.

This paper explores how semantic decoding improves AI teamwork and outputs.

Introducing a framework for AI collaboration with agents whose goals are not clear.

Optimizing agent behavior through norms and sanctions in complex systems.

BDoG improves AI reasoning by integrating various data types effectively.

A new method enhances policy evaluation in decentralized multi-agent systems.

A framework for aligning actions with personal and organizational values.

A new framework simplifies video editing tasks using image editing tools.

BDoG improves AI reasoning by integrating various data types effectively.

Heracles combines transformers and state space models for improved data processing.

A new method integrates acoustic information into language models for better speech recognition.

Using music to explain cancer can enhance understanding and engagement.

A new framework improves knowledge graph completion with diverse data types.

A new way to animate portraits with changing expressions and angles.

New method enhances 3D data compression while maintaining quality.

New strategies enhance IoT network performance and energy efficiency.

Utilizing simulations to develop effective algorithms for drones and autonomous flying systems.

UMBRELLA is a living lab for testing IoT technology in real-world settings.

New method improves vehicle privacy and safety in Intelligent Transportation Systems.

Discover how AI improves the management of network slicing for future networks.

Research highlights progress in self-interference cancellation for efficient wireless networks.

A look at improving time synchronization for better industrial connectivity.

A new framework aims to improve privacy in vehicular edge metaverses.

New method combines neural networks for improved efficiency and performance.

A look at how neural networks can model complex functions in various fields.

A new method to improve deep learning model training efficiency.

New methods enhance the prediction of diverse crystal structures for advanced materials.

A multi-objective method for maximizing influence while considering various factors.

Explore the models mimicking brain processes through spikes.

KAT allows robots to learn tasks quickly with fewer examples.

Assembly programming meets competition as survivors battle in CodeGuru Xtreme.

Innovative techniques to improve optimization performance in the presence of noise.

This article explores methods to improve magnetic fields in toroidal domains for nuclear fusion applications.

A look into simplicial complexes and their impact on network science.

A new method simplifies calculations on polygonal shapes directly.

Researchers optimize energy states to understand how materials change shape over time.

Introducing a method that combines kernel-based reconstruction with finite volume techniques for fluid flows.

New methods in seismic imaging enhance subsurface mapping accuracy and efficiency.

A new solver method improves efficiency for Cahn-Hilliard equation in materials science.

Introducing a secure yet efficient method for managing private data.

A system of handles improves memory management and reduces fragmentation in unmanaged languages.

THEMIS improves fairness and efficiency in multi-tenant FPGA resource scheduling.

This review outlines a framework for AIOps in incident management.

Compartmentalization offers a way to boost security in monolithic operating systems.

A new method to reduce data center memory costs effectively.

A new system improves function scheduling and resource management in serverless computing.

Berrify strengthens BPF security against Spectre vulnerabilities without sacrificing performance.

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.

Discover how DNA could change the future of data storage.

Streamlining the calibration process for more accurate simulations in distributed computing.

Study reveals how AMD's Zen+ architecture executes instructions for better software optimization.

SiNPhAR utilizes silicon nitride to enhance photonic acceleration in deep learning tasks.

A look at innovative methods in cybersecurity using cyber deception.

Key insights on improving transaction processing in online systems.

A system that optimizes calculations for sparse matrices using blocked storage.

Research focuses on optimizing transformers for small devices with limited resources.

Analyzing hardware and software for efficient quantum computing solutions.

Discover the basics and significance of dependent type theory in computation.

Learn how SSR enhances proof management in Lean 4.

Lean 4 enhances formal verification with an external verifier for more accurate proofs.

Exploring how AI impacts software development and coding practices.

Gillian-Rust offers a novel way to verify unsafe Rust code effectively.

A look at how quantum backtracking improves solving complex problems like Sudoku.

A framework for machines to learn user preferences from visual data.

A system of handles improves memory management and reduces fragmentation in unmanaged languages.

Robots are learning to adapt and perform tasks across various fields.

Vid2Robot enables robots to learn tasks just by watching videos.

Robots learn to adapt and improve by receiving real-time human feedback.

A new method enhances robotic hands' ability to manage soft objects.

A novel approach enables agents to learn tasks from text descriptions.

A novel approach improves precision in shape-morphing device control using deep learning.

A guide on combining AI with robots for safer and efficient operations.

This article examines parents' views on using learning robots with their children.

This study investigates how social bots influence online discussions about climate activism.

Study examines how missing connections affect link prediction accuracy across networks.

Examining public reactions to human vs. AI-generated fake news.

A look into simplicial complexes and their impact on network science.

MIM-Reasoner optimizes information spread across multiple social media platforms.

Research examines strategies to promote reliable news engagement among social media users.

New method improves user behavior representation and engagement.

A look into how directed simplicial complexes reveal complex interactions.

UMBRELLA is a living lab for testing IoT technology in real-world settings.

FastFlip helps developers quickly find and analyze software errors.

Reinforcement learning improves testing methods for autonomous driving safety.

The Model Openness Framework sets standards for transparency and trust in AI development.

A look into the challenges and practices of OSS licensing in software development.

Q-COSMIC offers a new way to measure the size of quantum software effectively.

Exploring how AI impacts software development and coding practices.

A new tool enhances the integrity of zero-knowledge proof systems.

A guide to understanding music similarity in generative models.

A study on sound synthesis and its evaluation in controlled environments.

A new method enhances accuracy in locating moving sound sources using microphone arrays.

PAM offers a novel way to measure audio quality without needing reference recordings.

Audio Flamingo excels in listening, conversing, and adapting to new audio tasks.

A new model enhances machines' understanding of spatial audio.

A new model improves speech-to-text efficiency in real-time applications.

This study assesses sounds versus words in reconstructing language family trees.

This method improves tracking of solutions in changing systems of equations.

A novel algorithm improves computation of polynomial equations using Gröbner bases and Hensel lifting.

Learn about WebPie, a simple language using dependent types for safe programming.

Exploring AI's role in shaping music through advanced techniques and structures.

Exploring total division in mathematical structures and its implications.

A new method enhances DAE regularization techniques for better efficiency and accuracy.

Introducing new methods to improve optical flow estimation using event-based cameras.

A new approach enhances the evaluation of dynamic relationships using Petri nets.

A new method enhances UAV path planning efficiency and safety through mesh refinement.

Examining energy management techniques in complex systems across various fields.

A novel approach improves precision in shape-morphing device control using deep learning.

UMBRELLA is a living lab for testing IoT technology in real-world settings.

A new approach ensures tasks are completed within set time limits.

A method to encourage safer health choices through rewards during disease outbreaks.

New methods improve state estimation for complex systems under uncertainty.

New method uses deep learning to stabilize power systems with renewables.