paper | code |
---|---|
a conversational brain-artificial intelligence interface | eegchat |
the information geometry of umap | info-geometry-umap |
paper | code |
---|---|
slicertms: real-time visualization of transcranial magnetic stimulation for mental health treatment | SlicerTMS |
structure-preserving transformers for sequences of spd matrices | spdtransnet |
paper | code |
---|---|
dtp-net: learning to reconstruct eeg signals in time-frequency domain by multi-scale feature reuse | eeg-denoise |
paper | code |
---|---|
stochastic unrolled federated learning | fed-surf |
rscnet: dynamic csi compression for cloud-based wifi sensing | rscnet |
paper | code |
---|---|
on the salient limitations of the methods of assembly theory and their classification of molecular biosignatures | mscomplexity |
in search of maximum non-overlapping codes | nono-codes |
paper | code |
---|---|
adaptive kalmannet: data-driven kalman filter with fast adaptation | adaptive-knet-icassp24 |
online test-time adaptation of spatial-temporal traffic flow forecasting | adcsd |
paper | code |
---|---|
a declarative goal-oriented framework for smart environments with lpaas | Solomon |
bayesian topology inference on partially known networks from input-output pairs | inference_langevin |
paper | code |
---|---|
2d signal estimation for sparse distributed target photon counting data | signal-estimation-sparse-data |
balancing summarization and change detection in graph streams | bsc |
paper | code |
---|---|
foundations of user-centric cell-free massive mimo | cell-free-book |
paper | code |
---|---|
ssvep-dan: a data alignment network for ssvep-based brain computer interfaces | ssvep-dan |
paper | code |
---|---|
modeling and correcting bias in sequential evaluation | sequential-bias |
temporally causal discovery tests for discrete time series and neural spike trains | github_temporal_causality |
paper | code |
---|---|
learning to reconstruct signals from binary measurements | ssbm |
paper | code |
---|---|
cslp-ae: a contrastive split-latent permutation autoencoder framework for zero-shot electroencephalography signal conversion | cslp-ae |
paper | code |
---|---|
abs+ polar codes: exploiting more linear transforms on adjacent bits | abs-polar |
in-context learning for mimo equalization using transformer-based sequence models | icl-equalization |
paper | code |
---|---|
exploring best practices for ecg signal processing in machine learning | ecg_augmentation |
discerning and enhancing the weighted sum-rate maximization algorithms in communications | ratemax |
paper | code |
---|---|
gacs-korner common information variational autoencoder | common-vae |
learn to categorize or categorize to learn? self-coding for generalized category discovery | infosieve |
paper | code |
---|---|
vehicular visible light positioning for collision avoidance and platooning: a survey | vehicular-vlp-simulations |
paper | code |
---|---|
robust waveform design for integrated sensing and communication | robust-waveform |
generating hsr bogie vibration signals via pulse voltage-guided conditional diffusion model | vgcdm |
paper | code |
---|---|
novel models for multiple dependent heteroskedastic time series | stat40710 |
paper | code |
---|---|
learning bilinear models of actuated koopman generators from partially-observed trajectories | koopmangeneratorem |
paper | code |
---|---|
incremental measurement of structural entropy for dynamic graphs | incre-se |
paper | code |
---|---|
equivariant bootstrapping for uncertainty quantification in imaging inverse problems | equivariant_bootstrap |
a lego-brick approach to coding for network communication | lego-brick |
paper | code |
---|---|
compression with bayesian implicit neural representations | combiner |
perceptual measurements, distances and metrics | perceptual_metric |
paper | code |
---|---|
link scheduling using graph neural networks | distgcn |
a comprehensive indoor environment dataset from single-family houses in the us | bdl_data_1 |
paper | code |
---|---|
accelerated motion correction with deep generative diffusion models | motion_score_mri |
learning large-scale mtp$_2$ gaussian graphical models via bridge-block decomposition | mtp2-bbd |
paper | code |
---|---|
joint communication and computation framework for goal-oriented semantic communication with distortion rate resilience | drgo-semcom |
paper | code |
---|---|
watch this space: securing satellite communication through resilient transmitter fingerprinting | SatIQ |
dynamic causal graph convolutional network for traffic prediction | DCGCN |
paper | code |
---|---|
on low-rank trace regression under general sampling distribution | cv-impute |
paper | code |
---|---|
quaternary neural belief propagation decoding of quantum ldpc codes with overcomplete check matrices | quantum-neural-bp4-demo |
paper | code |
---|---|
can we transfer noise patterns? a multi-environment spectrum analysis model using generated cases | cnst |
paper | code |
---|---|
dime: maximizing mutual information by a difference of matrix-based entropies | DiME |
quantifying & modeling multimodal interactions: an information decomposition framework | pid |
paper | code |
---|---|
learning transfer operators by kernel density estimation | fpoperatorde |
paper | code |
---|---|
semantic information recovery in wireless networks | sinfony |
human biophysics as network weights: conditional generative models for dynamic simulation | biomime |
paper | code |
---|---|
signal inpainting from fourier magnitudes | inpainting-fourier |
paper | code |
---|---|
space-time design for deep joint source channel coding of images over mimo channels | st_jscc |
high throughput open-source implementation of wi-fi 6 and wimax ldpc encoder and decoder | yaldpc |
paper | code |
---|---|
super-resolution radar imaging with sparse arrays using a deep neural network trained with enhanced virtual data | sparse-array-radar-imaging |
paper | code |
---|---|
conditional and residual methods in scalable coding for humans and machines | research |
paper | code |
---|---|
recurrences reveal shared causal drivers of complex time series | shrec |
paper | code |
---|---|
data-driven modeling of noise time series with convolutional generative adversarial networks | noisegan |
toward integrated sensing and communications in ieee 802.11bf wi-fi networks | sharpax |
paper | code |
---|---|
robust semantic communications with masked vq-vae enabled codebook | RobustSemanComm |
entropy estimation via uniformization | nfee |
paper | code |
---|---|
olia: an open-source digital lock-in amplifier | olia |
interpreting neural min-sum decoders | nams |
paper | code |
---|---|
self-stabilization: the implicit bias of gradient descent at the edge of stability | eos |
paper | code |
---|---|
bounded simplex-structured matrix factorization: algorithms, identifiability and applications | bssmf.jl |
far from asymptopia | atomicpriors.jl |
paper | code |
---|---|
spider-web generates coding algorithms with superior error tolerance and real-time information retrieval capacity | dnaspiderweb |
paper | code |
---|---|
latent signal models: learning compact representations of signal evolution for improved time-resolved, multi-contrast mri | latent_signal_models_mrm_2022 |
paper | code |
---|---|
physical lidar simulation in real-time engine | Cosys-AirSim |
paper | code |
---|---|
annealed langevin dynamics for massive mimo detection | langevin-mimo-detector |
paper | code |
---|---|
estimating total correlation with mutual information estimators | tc-estimation |
unsourced multiple access with random user activity | uma_random_user_activity |
paper | code |
---|---|
source detection via multi-label classification | Signal_detector |
paper | code |
---|---|
recurrences reveal shared causal drivers of complex time series | shrec |
bayesian estimation of information-theoretic metrics for sparsely sampled distributions | info-metric-estimation |
paper | code |
---|---|
flex-net: a graph neural network approach to resource management in flexible duplex networks | flex-net |
paper | code |
---|---|
propagation of linear uncertainties through multiline thru-reflect-line calibration | uncertainty-multiline-trl-calibration |
energy prediction using federated learning | energy_prediction |
paper | code |
---|---|
source-free subject adaptation for eeg-based visual recognition | Deep-BCI |
paper | code |
---|---|
emergence of the svd as an interpretable factorization in deep learning for inverse problems | descrambling-nn |
paper | code |
---|---|
imitation learning-based implicit semantic-aware communication networks: multi-layer representation and collaborative reasoning | irml |
paper | code |
---|---|
da-music: data-driven doa estimation via deep augmented music algorithm | tvt23 |
paper | code |
---|---|
expanding boundaries of gap safe screening | kl_screening |
paper | code |
---|---|
frequency-dependent f-number increases the contrast and the spatial resolution in fast pulse-echo ultrasound imaging | f_number |
paper | code |
---|---|
pendantss: penalized norm-ratios disentangling additive noise, trend and sparse spikes | pendantss |
paper | code |
---|---|
electromagnetic based communication model for dynamic metasurface antennas | dma_model |
paper | code |
---|---|
beats: an open-source, high-precision, multi-channel eeg acquisition tool system | beats |
joint network topology inference via a shared graphon model | jointinf_graphs_graphon |
paper | code |
---|---|
learning representations for new sound classes with continual self-supervised learning | cssl_sound |
artificial intelligence enabled noma towards next generation multiple access | ai_noma |
paper | code |
---|---|
direction of arrival estimation of sound sources using icosahedral cnns | icodoa |
storseismic: a new paradigm in deep learning for seismic processing | storseismic |
paper | code |
---|---|
learning sparse analytic filters for piano transcription | sparse-analytic-filters |
on low-rank trace regression under general sampling distribution | cv-impute |
paper | code |
---|---|
label-aware ranked loss for robust people counting using automotive in-cabin radar | labelawareranked-loss |
paper | code |
---|---|
a spatially separable attention mechanism for massive mimo csi feedback | pytorch_stnet |
generative adversarial user privacy in lossy single-server information retrieval | GAUP_TIFS22 |
paper | code |
---|---|
experiments with mmwave automotive radar test-bed | mmWave-radar-signal-processing-and-microDoppler-classification |
paper | code |
---|---|
uncertainty detection and reduction in neural decoding of eeg signals | ue-eeg |
unsupervised multimodal change detection based on structural relationship graph representation learning | srgcae |
paper | code |
---|---|
frequency-dependent $f$-number increases the contrast and the spatial resolution in fast pulse-echo ultrasound imaging | f_number |
paper | code |
---|---|
a parameter-free nonconvex low-rank tensor completion model for spatiotemporal traffic data recovery | T-ITS-PFNC |
paper | code |
---|---|
gridless 3d recovery of image sources from room impulse responses | acoustic-sfw |
paper | code |
---|---|
gcns-net: a graph convolutional neural network approach for decoding time-resolved eeg motor imagery signals | EEG-DL |
paper | code |
---|---|
trajectory pmb filters for extended object tracking using belief propagation | trajectory-pmb-eot-bp |
enhancing deep learning performance of massive mimo csi feedback | jpts |
paper | code |
---|---|
towards a better understanding human reading comprehension with brain signals | uercm |
quantum message-passing algorithm for optimal and efficient decoding | quantum-message-passing-paper |
paper | code |
---|---|
perturbative construction of mean-field equations in extensive-rank matrix factorization and denoising | perturbative_mean_field_matrix_factorization |
paper | code |
---|---|
visually evaluating generative adversarial networks using itself under multivariate time series | GaussianGANs |
paper | code |
---|---|
graph neural networks for communication networks: context, use cases and opportunities | GNNPapersCommNets |
paper | code |
---|---|
explainable ai algorithms for vibration data-based fault detection: use case-adadpted methods and critical evaluation | xai-vibration-fault-detection |
paper | code |
---|---|
beats: an open-source, high-precision, multi-channel eeg acquisition tool system | beats |
paper | code |
---|---|
mutual-information based optimal experimental design for hyperpolarized $^{13}$c-pyruvate mri | hyperpolarizedmri |
paper | code |
---|---|
state-augmented learnable algorithms for resource management in wireless networks | stateaugmented_rrm_gnn |
paper | code |
---|---|
aivc: artificial intelligence based video codec | AIVC |
stratified multivariate multiscale dispersion entropy for physiological signal analysis | smvmde |
paper | code |
---|---|
plotly-resampler: effective visual analytics for large time series | plotly-resampler |
fast lossless neural compression with integer-only discrete flows | iodf |
paper | code |
---|---|
pareto-optimal clustering with the primal deterministic information bottleneck | pareto_dib |
paper | code |
---|---|
denoising generalized expectation-consistent approximation for mri image recovery | corr-plus-corr |
paper | code |
---|---|
design of an optimal testbed for tracking of tagged marine megafauna | receiver-deployment |
paper | code |
---|---|
zero-shot self-supervised learning for mri reconstruction | ZS-SSL |
the representation jensen-r'enyi divergence | jensen-renyi-divergence |
paper | code |
---|---|
multi-layer state evolution under random convolutional design | conv-ml-amp |
paper | code |
---|---|
denoising noisy neural networks: a bayesian approach with compensation | NoisyNN |
paper | code |
---|---|
sinr: deconvolving circular sas images using implicit neural representations | csas_deconvolution_inr |
paper | code |
---|---|
ultra marginal feature importance | umfi |
paper | code |
---|---|
hrtf measurement for accurate sound localization cues | hrtf-hats-kaist |
pareto-optimal clustering with the primal deterministic information bottleneck | pareto_dib |
paper | code |
---|---|
bddm: bilateral denoising diffusion models for fast and high-quality speech synthesis | bddm |
paper | code |
---|---|
complex frequency domain linear prediction: a tool to compute modulation spectrum of speech | fdlp_spectrogram |
distilling ghz states using stabilizer codes | ghz_distillation_qec |
paper | code |
---|---|
lead-agnostic self-supervised learning for local and global representations of electrocardiogram | fairseq-signals |
generative principal component analysis | GenerativePCA |
paper | code |
---|---|
enhancement of a state-of-the-art rl-based detection algorithm for massive mimo radars | improved_rl_algorithm_mmimo_radar |
paper | code |
---|---|
robust equivariant imaging: a fully unsupervised framework for learning to image from noisy and partial measurements | rei |
lossless compression with probabilistic circuits | pressedjuice.jl |
paper | code |
---|---|
exploring scalable, distributed real-time anomaly detection for bridge health monitoring | real_time_bhm |
paper | code |
---|---|
label-aware ranked loss for robust people counting using automotive in-cabin radar | labelawareranked-loss |
paper | code |
---|---|
a dynamic response recovery framework using ambient synchrophasor data | dy_resp_pkg_new |
graphon-aided joint estimation of multiple graphs | jointinf_graphs_graphon |
paper | code |
---|---|
an information-theoretic justification for model pruning | SuRP |
sumo: advanced sleep spindle identification with neural networks | sumo |
paper | code |
---|---|
calibration with privacy in peer review | calibration-with-privacy-in-peer-review |
paper | code |
---|---|
grouped variable selection for generalized eigenvalue problems | benchmarkStudySensorSelection |
paper | code |
---|---|
homological time series analysis of sensor signals from power plants | TwirlFlake |
paper | code |
---|---|
tsflex: flexible time series processing & feature extraction | tsflex |
paper | code |
---|---|
expression is enough: improving traffic signal control with advanced traffic state representation | Advanced_XLight |
paper | code |
---|---|
denoising noisy neural networks: a bayesian approach with compensation | NoisyNN |
paper | code |
---|---|
early stopping for deep image prior | early_stopping_for_dip |
a deep knowledge distillation framework for eeg assisted enhancement of single-lead ecg based sleep staging | sleep_staging_kd |
paper | code |
---|---|
deep reinforcement learning-designed radiofrequency waveform in mri | deeprf |
integrating expert knowledge with domain adaptation for unsupervised fault diagnosis | syn2real |
paper | code |
---|---|
hlt-nus submission for 2020 nist conversational telephone speech sre | ecapatdnn |
paper | code |
---|---|
variational quantum algorithms for trace distance and fidelity estimation | Quantum |
paper | code |
---|---|
diagnosis of intelligent reflecting surface in millimeter-wave communication systems | IRSdiagnosis |
paper | code |
---|---|
edge-sr: super-resolution for the masses | esr |
paper | code |
---|---|
deep augmented music algorithm for data-driven doa estimation | icassp22 |
optimal sic ordering and power allocation in downlink multi-cell noma systems | Optimal-JSPA-MultiCell-NOMA |
paper | code |
---|---|
deep augmented music algorithm for data-driven doa estimation | icassp22 |
practical distributed quantum information processing with loccnet | Quantum |
paper | code |
---|---|
two-dimensional multi-target detection: an autocorrelation analysis approach | MTD-2D |
paper | code |
---|---|
mgait: model-based gait analysis using wearable bend and inertial sensors | mgait |
federated edge learning with misaligned over-the-air computation | MisAlignedOAC |
paper | code |
---|---|
time encoding of finite-rate-of-innovation signals | genfri-tem |
achievable rate optimization for mimo systems with reconfigurable intelligent surfaces | pgm_code_achievable_rate_optimization |
paper | code |
---|---|
multiple hypothesis testing framework for spatial signals | lfdr-smom |
paper | code |
---|---|
bayesian context trees: modelling and exact inference for discrete time series | Bayesian-Suffix-Trees |
paper | code |
---|---|
equivariant imaging: learning beyond the range space | EI |
learning sparse analytic filters for piano transcription | sparse-analytic-filters |
paper | code |
---|---|
statistical inference in the differential privacy model | INSPECTRE |
paper | code |
---|---|
is the brain macroscopically linear? a system identification of resting state dynamics | rest-system-id |
paper | code |
---|---|
statistical inference in the differential privacy model | INSPECTRE |
paper | code |
---|---|
searching for waveforms on spatially-filtered epileptic ecog | cspwave |
paper | code |
---|---|
clnet: complex input lightweight neural network designed for massive mimo csi feedback | CLNet |
foundations of user-centric cell-free massive mimo | cell-free-book |
paper | code |
---|---|
random convolution kernels with multi-scale decomposition for preterm eeg inter-burst detection | ms_rocket |
paper | code |
---|---|
on the interpretation of linear riemannian tangent space model parameters in m/eeg | interpret_lin_rts_mdls |
paper | code |
---|---|
eegdenoisenet: a benchmark dataset for end-to-end deep learning solutions of eeg denoising | Single-Channel-EEG-Denoise |
on optimal quantization in sequential detection | QSPRT |
paper | code |
---|---|
low rate protograph-based ldpc codes for continuous variable quantum key distribution | Protograph_Optimization |
paper | code |
---|---|
lossy compression for lossless prediction | lossyless |
paper | code |
---|---|
efficient sparse coding using hierarchical riemannian pursuit | HRP |
packing: towards 2x nlp bert acceleration | packedBERT |
paper | code |
---|---|
real elliptically skewed distributions and their application to robust cluster analysis | [Real-Elliptically-Skewed-Distributions](https://github.com/schrchr/Real-Elliptically-Skewed-Dist |