yusuke1997/dblp-id-title huggingface dataset:
Transforming psychiatry with computational and brain-based methods
Reducing the network dimensionality
Rapid protein model refinement by deep learning
Oscillations and avalanches coexist in brain networks close to criticality
Impact of aspirin on cancer incidence
Rethinking chemical research in the age of large language models
Harnessing deep learning to build optimized ligands
Accounting for quantum effects in catalysis
Counting biomolecules with Bayesian inference
Author Correction: The high-dimensional space of human diseases built from diagnosis records and mapped to genetic loci
Large language models act as if they are part of a group
High-throughput property-driven generative design of functional organic molecules
Biasing energy surfaces towards the unknown
Machine learning interatomic potentials at the centennial crossroads of quantum mechanics
AI-powered structure-based drug design inspired by the lock-and-key model
Accelerating minimap2 for long-read sequencing applications on modern CPUs
Multimodal learning for mapping genotype-phenotype dynamics
Modeling the increase of electronic waste due to generative AI
Colocalization for super-resolution microscopy via optimal transport
Neural-network wavefunctions
Memory kernel minimization-based neural networks for discovering slow collective variables of biomolecular dynamics
Shining a light on the peer review process
Integrative deep learning of spatial multi-omics with SWITCH
From complex datasets to predictive models of embryonic development
Best practices for multi-fidelity Bayesian optimization in materials and molecular research
Harnessing the power of decision-support tools to trigger climate action
Increasing alignment of large language models with language processing in the human brain
Efficient crystal structure prediction based on the symmetry principle
Machine learning approach finds nonlinear patterns of neurodegenerative disease progression
Seeking quantum advantage for neural networks
Lessons from the COVID-19 pandemic for advancing computational drug repurposing strategies
Thinking fast and slow in disaster decision-making with Smart City Digital Twins
Publisher Correction: Biomolecular modeling thrives in the age of technology
Investigating the elegance of empty space
Computational challenges for multimodal astrophysics
Large-scale photonic computing with nonlinear disordered media
Getting the most out of noisy surveillance data
Optimal crystal structure solutions
A dynamic metabolic map for diabetes
Little by little, a bird builds its nest
Mathematically exploring wrinkle evolution
Towards scalable genomic data access
Biomolecular modeling thrives in the age of technology
Author Correction: Mapping disease regulatory circuits at cell-type resolution from single-cell multiomics data
Dimensionally consistent learning with Buckingham Pi
Predicting emergence of crystals from amorphous precursors with deep learning potentials
Simulations that capture antigen-antibody complexity
Automated customization of large-scale spiking network models to neuronal population activity
Rhythm-based hierarchical predictive computations support acoustic-semantic transformation in speech processing
Modeling excited-state molecular dynamics beyond the Born-Oppenheimer regime
Deep learning large-scale drug discovery and repurposing
Identifiability and predictability of integer- and fractional-order epidemiological models using physics-informed neural networks
Joint inference of discrete and continuous factors captures variability across and within cell types
Using LLMs to advance the cognitive science of collectives
Deep-learning density functional theory Hamiltonian for efficient ab initio electronic-structure calculation
Bridging human mobility and urban growth
Measuring three-dimensional organization on cell surfaces with cellular harmonics
Making titles and abstracts broadly accessible
Making heat capacity prediction more reliable
Fluid dynamic behavior of deep-sea sponges
Deep learning boosts RNA prediction
Celebrating a pioneer in bioinformatics
Energy-efficient multimodal zero-shot learning using in-memory reservoir computing
Evidence-based recommender system for high-entropy alloys
Publisher Correction: Reliable deep learning in anomalous diffusion against out-of-distribution dynamics
Balancing autonomy and expertise in autonomous synthesis laboratories
Quantum algorithms for quantum dynamics
Data privacy through participant empowerment
A machine learning tool to efficiently calculate electron-phonon coupling
Antibodies as programmable, bipedal walkers
Structure-based drug design with equivariant diffusion models
Towards transparency and knowledge exchange in AI-assisted data analysis code generation
Cracking the code review process
Decoupled peak property learning for efficient and interpretable electronic circular dichroism spectrum prediction
A universal graph deep learning interatomic potential for the periodic table
Computational design of mechanical metamaterials
Mathematics, the queen of sciences
150 years of oxygen chemistry
Networking in times of pandemic
Characterizing emerging companies in computational drug development
AI-recognized mitochondrial phenotype enables identification of drug targets
Symphonizing pileup and full-alignment for deep learning-based long-read variant calling
Distilling data into code
Crystallography companion agent for high-throughput materials discovery
Emergence of urban growth patterns from human mobility behavior
The promise and pitfalls of AI for molecular and materials synthesis
Shedding light on GNN affinity predictions
Single-sequence protein structure prediction using supervised transformer protein language models
Collective deliberation driven by AI
Dynamic forecasting of severe acute graft-versus-host disease after transplantation
Classical-quantum advantage boundary for enzymes
Advancing organic reaction discovery
Unraveling non-genetic heterogeneity in cancer with dynamical models and computational tools
Machine learning for spectral properties
Machine-learning-accelerated simulations to enable automatic surface reconstruction
Adaptive validation strategies for real-world clinical artificial intelligence
How neural rhythms can guide word recognition
Overcoming the barrier of orbital-free density functional theory for molecular systems using deep learning
Real-time non-line-of-sight computational imaging using spectrum filtering and motion compensation
Analog in-memory computing attention mechanism for fast and energy-efficient large language models
Enabling single-cell trajectory network enrichment
Keeping the power grid stable
How community software ecosystems can unlock the potential of exascale computing
Ab initio real-time quantum dynamics of charge carriers in momentum space
Approaching coupled-cluster accuracy for molecular electronic structures with multi-task learning
Large-scale correlation network construction for unraveling the coordination of complex biological systems
Accelerating scientific progress with preprints
Publisher Correction: Reference-guided search for open reading frames
Efficient and accurate large library ligand docking with KarmaDock
Fostering multidisciplinary collaborations
Structure prediction and materials design with generative neural networks
Experimenting on AI can (sometimes) teach us about ourselves
Modeling plant circadian clocks
Predicting binding motifs of complex adsorbates using machine learning with a physics-inspired graph representation
Predicting bone regeneration from machine learning
Cell-type-aware analysis of RNA-seq data
Cellular deconvolution with continuous transitions
Deep-learning electronic structure calculations
Increasing the presence of BIPOC researchers in computational science
Publisher Correction: Opportunities for neuromorphic computing algorithms and applications
Provable bounds for noise-free expectation values computed from noisy samples
Building open-source AI
Score-based generative modeling for de novo protein design
The digital revolution of Earth-system science
Improving chemical accuracy with neural networks
Interpolating perturbations across contexts
Hail, software!
People, places, and the planet
Reshaping computation with quantum mechanics
Self-driving labs for biotechnology
Publisher Correction: Urban planning in the era of large language models
Curiosity-driven method development
Physics-driven coarse-grained model for biomolecular phase separation with near-quantitative accuracy
Neuromechanical modeling of adult fly
The art of mechanistic modeling in biology
STAligner enables the integration and alignment of multiple spatial transcriptomics datasets
Towards a welcoming climate for LGBTQ people
Seamless sharing and peer review of code
How to respond to reviewers
Understanding the combined meaning of words
Author Correction: Joint inference of discrete cell types and continuous type-specific variability in single-cell datasets with MMIDAS
Moving towards a generalized denoising network for microscopy
Computationally probing moiré magnets
A machine learning-based multiscale model to predict bone formation in scaffolds
Human-like intuitive behavior and reasoning biases emerged in large language models but disappeared in ChatGPT
The feasibility of zeolite intergrowths
Guiding element mixing
Pharmacophore-oriented 3D molecular generation toward efficient feature-customized drug discovery
The curse of dimensionality loses its power
Toward fair AI-driven medical text generation
Real-time raw signal genomic analysis using fully integrated memristor hardware
Advancing computational sustainability in higher education
Effective phase analyzer learned from stock images
Uncertainty-driven dynamics for active learning of interatomic potentials
COVID-19 prognosis from a longitudinal dataset
Using AI to navigate through the DFA zoo
A deep learning approach for rational ligand generation with toxicity control via reactive building blocks
A collective effort for building DFT
Single-cell manifold-preserving feature selection for detecting rare cell populations
A quantum-inspired approach to exploit turbulence structures
Citizen-centered, auditable and privacy-preserving population genomics
Optimizing social and economic activity while containing SARS-CoV-2 transmission using DAEDALUS
A language model for medical predictive tasks
A flexible Bayesian framework for unbiased estimation of timescales
DNA clustering made more efficient
A move in the light direction
A scalable tool for fast and flexible variant identification in mass spectrometry
Automated discovery of symbolic laws governing skill acquisition from naturally occurring data
Untangling network information flow
The exciting potential and daunting challenge of using GPS human-mobility data for epidemic modeling
Learning state variables for physical systems
Leveraging large language models for pandemic preparedness
Exploiting pleiotropy to enhance variant discovery with functional false discovery rates
Developing mental health AI tools that improve care across different groups and contexts
Avoiding genetic racial profiling in criminal DNA profile databases
Mapping the gene space at single-cell resolution with gene signal pattern analysis
Disentangling the flow of signals between populations of neurons
GPU-accelerated connectome discovery at scale
The Inflammatory Bowel Disease Transcriptome and Metatranscriptome Meta-Analysis (IBD TaMMA) framework
Leveraging the power of crowds
Enhancing computational fluid dynamics with machine learning
A Poisson binomial-based statistical testing framework for comorbidity discovery across electronic health record datasets
MultiSTAAR delivers multi-trait rare variant analysis of biobank-scale sequencing data
Modeling and combating misinformation spread
AI-powered aptamer generation
Unifying pairwise interactions in complex dynamics
Free-form and multi-physical metamaterials with forward conformality-assisted tracing
From evidence to new high-entropy alloys
Robust quantum classifiers via NISQ adversarial learning
Gene regulation meets Bayesian non-parametrics
Effects of mutations on SARS-CoV-2 fitness
Discovering evolutionary hidden treasures
Quantum experiment design via interpretable DL
Efficient deep learning
Extending atomic decomposition and many-body representation with a chemistry-motivated approach to machine learning potentials
A laboratory and simulation platform to integrate individual life history traits and population dynamics
Shedding light on microbiome-drug interactions
Embryonic development across space and time
Advancing neural decoding with deep learning
Automated discovery of algorithms from data
Electromagnetic Channel Modeling and Capacity Analysis for HMIMO Communications
Joint Beamforming Design and Bit Allocation in Massive MIMO With Resolution-Adaptive ADCs
Space-time codes for multiple access systems with low MMSE decoding complexity
Wireless Powered Dual-Hop Multi-Antenna Relaying Systems: Impact of CSI and Antenna Correlation
Joint optimization of energy consumption and antenna orientation for multicasting in static ad hoc wireless networks
A Byzantine Attack Defender in Cognitive Radio Networks: The Conditional Frequency Check
To MIMO or Not To MIMO in Mobile Satellite Broadcasting Systems
Algorithms and bounds for estimating location, directionality, and environmental parameters of primary spectrum users
Improving MIMO capacity with directive antennas for outdoor-indoor scenarios
Pilot Pattern Design for Two-Dimensional OFDM Modulations in Time-Varying Frequency-Selective Fading Channels
Joint Cache Placement, Flight Trajectory, and Transmission Power Optimization for Multi-UAV Assisted Wireless Networks
Multiuser Lattice Coding for the Multiple-Access Relay Channel
Distance-Bounding Based Defense Against Relay Attacks in Wireless Networks
Responsive Content-Centric Delivery in Large Urban Communication Networks: A LinkNYC Use-Case
Optimization of Code Rates in SISOME Wiretap Channels
On HARQ Schemes in Satellite-Terrestrial Transmissions
Joint I/Q Mismatch and Distortion Compensation in Direct Conversion Transmitters
Optimal Decomposition for Large-Scale Infrastructure-Based Wireless Networks
Accurate analysis of TCP on channels with memory and finite round-trip delay
Joint Optimization of Clustering and Cooperative Beamforming in Green Cognitive Wireless Networks
A Two-Timescale Approach to Mobility Management for Multicell Mobile Edge Computing
Joint Scheduling of Rate-Guaranteed and Best-Effort Users over a Wireless Fading Channel
Balancing Queueing and Retransmission: Latency-Optimal Massive MIMO Design
MIMO CDMA antenna system for SINR enhancement
Performance Degradation Due to Multipath Noise for Narrowband OFDM Systems: Channel-Based Analysis and Experimental Determination
Statistical Dissemination Control in Large Machine-to-Machine Communication Networks
Reconfigurable Intelligent Surface-Aided Cognitive NOMA Networks: Performance Analysis and Deep Learning Evaluation
Determination of optimal transmission power in wireless relay networks with generalized error model
Cost-Delay Tradeoffs for Two-Way Relay Networks
Low-Rank Spatial Channel Estimation for Millimeter Wave Cellular Systems
A mechanism for detecting session hijacks in wireless networks
On physically-based normalization of MIMO channel matrices
Binary Inference for Primary User Separation in Cognitive Radio Networks
Utility-Based Resource Allocation in Wireless Networks
Joint Channel State Based Random Access and Adaptive Modulation in Wireless LANs with Multi-Packet Reception
Achievable Splitting and Decoding in the Multiple Access Channel: A Hierarchical Approach
Multistatic Cooperative Sensing Assisted Secure Transmission via IRS
Vertical handover-decision-making algorithm using fuzzy logic for the integrated Radio-and-OW system
Orthogonality and Cooperation in Collaborative Spectrum Sensing through MIMO Decision Fusion
Traffic-Aware Energy-Saving Base Station Sleeping and Clustering in Cooperative Networks
Special issue on cooperative communications
Packet-Based Energy Efficiency of MIMO Systems With Interference Avoidance Over Frequency-Selective Fading Channels
Comprehensive performance analysis of a TCP session over a wireless fading link with queueing
Energy Efficient SWIPT Systems in Multi-Cell MISO Networks
Privacy-Preserving Distributed Profile Matching in Proximity-Based Mobile Social Networks
An Incentive Mechanism for Federated Learning in Wireless Cellular Networks: An Auction Approach
Deep Learning for Asynchronous Massive Access With Data Frame Length Diversity
Buffer-Aware Scheduling and Power Allocation for CoMP Transmission With Large-Scale Antennas
IRS-Enhanced Cell-Free mMIMO-OTFS Systems: Learning-Based Channel Estimator and SE Analysis
Staggered interleaving and iterative errors- and-erasures decoding for frequency-hop packet radio
Secure Transmission for Multiuser Relay Networks
Maximum-Likelihood Array Signal Decoding in the Presence of Block-Wise Stationary Cochannel Interference
Sparse Bayesian Learning-Based Hierarchical Construction for 3D Radio Environment Maps Incorporating Channel Shadowing
Multi-Cell Massive MIMO Systems With Hardware Impairments: Uplink-Downlink Duality and Downlink Precoding
Multiuser Precoding With Limited Cooperation for Large-Scale MIMO Multicell Downlink
UAV-Enabled Asynchronous Federated Learning
Advanced NOMA Assisted Semi-Grant-Free Transmission Schemes for Randomly Distributed Users
Message Passing Receivers for Generalized Media-Based Modulation Signals
Reconfigurable rateless codes
On Minimizing the Impact of Mobility on Topology Control in Mobile Ad Hoc Networks
A Selective-Relay Based Cooperative Spectrum Sensing Scheme without Dedicated Reporting Channels in Cognitive Radio Networks
Joint EH Time Allocation and Distributed Beamforming in Interference-Limited Two-Way Networks With EH-Based Relays
On Stochastic Feedback Control for Multi-Antenna Beamforming: Formulation and Low-Complexity Algorithms
Beamforming Design and Performance Analysis of Full-Duplex Cooperative NOMA Systems
Spatial-Spectral Cell-Free Sub-Terahertz Networks: A Large-Scale Case Study
Noncoherent block detection in the presence of DC offset
Intelligent Resource Allocation for IRS-Enhanced OFDM Communication Systems: A Hybrid Deep Reinforcement Learning Approach
On the Sum Rate of Fair Resource Allocation With Selective Feedback
Power-Efficient Analog Front-End Interference Suppression With Binary Antennas
Modulation and SNR Optimization for Achieving Energy-Efficient Communications over Short-Range Fading Channels
Performance Impact of LoS and NLoS Transmissions in Dense Cellular Networks
Toward Fast and Energy-Efficient Access to Cloudlets in Hostile Environments
DeepFake: Deep Dueling-Based Deception Strategy to Defeat Reactive Jammers
Low complexity channel estimation for space-time coded wideband OFDM systems
Designing Learning-Based Adversarial Attacks to (MIMO-)OFDM Systems With Adaptive Modulation
Access Point Selection and Beamforming Design for Cell-Free Network: From Fractional Programming to GNN
Cramer-Rao Lower Bounds for Semi-Blind ML Channel Estimation in UWB Systems
Stochastic Content-Centric Multicast Scheduling for Cache-Enabled Heterogeneous Cellular Networks
Loss-Aware Throughput Estimation Scheduler for Multi-Path TCP in Heterogeneous Wireless Networks
Channel-Aware Joint AoI and Diversity Optimization for Client Scheduling in Federated Learning With Non-IID Datasets
Non-Asymptotic Bounds on the Performance of Dual Methods for Resource Allocation Problems
Clustering and Resource Allocation for Dense Femtocells in a Two-Tier Cellular OFDMA Network
Robust Compressive Data Gathering in Wireless Sensor Networks
Estimation of Nakagami-m fading channel parameters with application to optimized transmitter diversity systems
Resource Allocation for Image Transmission Using Adaptive Semantic and Bit Communication
MAC-SCC: a medium access control protocol with separate control channel for reconfigurable multi-hop wireless networks
Exact error probability of a bandlimited single-interferer maximum-likelihood BPSK receiver in AWGN
Energy-Based Modulation for Noncoherent Massive SIMO Systems
Generating High Dimensional User-Specific Wireless Channels Using Diffusion Models
Multi-layer Unmanned Aerial Vehicle Networks: Modeling and Performance Analysis
Performance of Dynamic and Static TDD in Self-Backhauled Millimeter Wave Cellular Networks
Improper Gaussian Signaling for Uplink NOMA Systems With Finite Blocklength Codes Under Imperfect SIC
Sustainable Cooperative Communication in Wireless Powered Networks With Energy Harvesting Relay
Modeling and analysis of nonlinearities and mismatches in AC-coupled direct-conversion receiver
Spinal Codes Over Fading Channel: Error Probability Analysis and Encoding Structure Improvement
Outage-Optimized Multicast Beamforming With Distributed Limited Feedback
Partially Informed Transmitter-Based Optical Space Shift Keying Under Atmospheric Turbulence
One-Bit Byzantine-Tolerant Distributed Learning via Over-the-Air Computation
Integer Forcing Interference Management for the MIMO Interference Channel
Measurements and Modeling of Millimeter-Wave Vehicle-to-Vehicle Propagation With Vehicle Obstructions
An Incentivized Cooperative Architecture for Dynamic Spectrum Access Networks
Distance Distributions and Coverage Probabilities in Poisson-Delaunay Triangular Cells With Application to Coordinated Multipoint Wireless Power Transfer
Radio and Medium Access Contention Aware Routing for Lifetime Maximization in Multichannel Sensor Networks
Spatial Concentration of Caching in Wireless Heterogeneous Networks
Distributed Routing Algorithms for Underwater Acoustic Sensor Networks
MAP Based Iterative Channel Estimation for OFDM Systems: Approach, Convergence, and Performance Bound
A Universal Multimode (Acoustic, Magnetic Induction, Optical, RF) Software Defined Modem Architecture for Underwater Communication
Joint Rate, Power, and Decoding Order Optimization of Multiuser MIMO Systems
Robustness analysis and new hybrid algorithm of wideband source localization for acoustic sensor networks
Adaptive Mechanism for Distributed Opportunistic Scheduling
Enforcing Statistical Orthogonality in Massive MIMO Systems via Covariance Shaping
Channel Estimation for Reconfigurable Intelligent Surface Aided Multi-User mmWave MIMO Systems
Comments on "Error Performance of Transmit Beamforming With Delayed and Limited Feedback"
PSRNet: Few-Shot Automatic Modulation Classification Under Potential Domain Differences
Exploiting Movable Elements of Intelligent Reflecting Surface for Enhancement of Integrated Sensing and Communication
Transaction Throughput Optimization for Integrated Blockchain and MEC System in IoT
Performance Analysis for URLLC in Cell-Free Massive MIMO Systems With Limited Fronthaul Capacity and Hardware Impairments
Wavenumber Domain Beam Training in XL-MIMO Systems: Unifying Far-Field and Near-Field
Practical RIS-Aided Multiuser Communications With Imperfect CSI: Practical Model, Amplitude Feedback, and Beamforming Optimization
AoIT-Empowered Associated Network Slicing: Resource Orchestration for Joint Monitoring
Deep Learning-Based Sphere Decoding
Robust Transmission Design for Intelligent Reflecting Surface-Aided Secure Communication Systems With Imperfect Cascaded CSI
Amplify-and-Forward Selection Cooperation over Rayleigh Fading Channels with Imperfect CSI
Truncated power control for improving TCP/IP performance over CDMA wireless links
Compression Before Fusion: Broadcast Semantic Communication System for Heterogeneous Tasks
Exploiting Constructive Mutual Coupling in P2P MIMO by Analog-Digital Phase Alignment
Reconfigurable Intelligent Surface-Aided Quadrature Reflection Modulation for Simultaneous Passive Beamforming and Information Transfer
Iterative Channel Estimation Based on B-splines for Fast Flat Fading Channels
UAV Anti-Jamming Communications With Power and Mobility Control
Unsaturated Throughput Analysis of IEEE 802.11 in Presence of Non Ideal Transmission Channel and Capture Effects
Near-Field Channel Estimation for Uniform Planar Arrays Based on an End-to-End Spherical Wavefront Channel Model
Multiple-symbol differential decision fusion for mobile wireless sensor networks
Performance Analysis of a 5G Energy-Constrained Downlink Relaying Network With Non-Orthogonal Multiple Access