June 2023 Archive Back to README date paper code 2306.16621 assessing the performance of 1d-convolution neural networks to predict concentration of mixture components from raman spectra ramix 2306.17028 accurate pet reconstruction from reduced set of measurements based on gmm accurate-pet-reconstruction-from-reduced-set-of-measurements-based-on-gmm 2306.16842 tokenization and the noiseless channel tokenization-scorer 2306.15681 ecg-qa: a comprehensive question answering dataset combined with electrocardiogram ecg-qa 2306.15810 on graph uncertainty principle and eigenvector delocalization uncertainty-delocalization 2306.15918 on information captured by neural networks: connections with memorization and generalization aws-cv-unique-information 2306.15012 statistical component separation for targeted signal recovery in noisy mixtures stat_comp_sep 2306.04050 llmzip: lossless text compression using large language models LLMzip 2306.14126 robust spatiotemporal traffic forecasting with reinforced dynamic adversarial training rdat 2306.14590 cst-yolo: a novel method for blood cell detection based on improved yolov7 and cnn-swin transformer CST-YOLO 2306.12141 recoil: parallel rans decoding with decoder-adaptive scalability recoil 2306.13105 multi-task learning for radar signal characterisation radchar 2306.12063 high throughput open-source implementation of wi-fi 6 and wimax ldpc encoder and decoder yaldpc 2306.02323 lora backscatter communications: temporal, spectral, and error performance analysis lora-backscatter-performance-analysis 2306.10164 multiwave: multiresolution deep architectures through wavelet decomposition for multivariate time series prediction multiwave 2306.10356 matnet: multi-level fusion and self-attention transformer-based model for multivariate multi-step day-ahead pv generation forecasting matnet 2306.10588 duta-vc: a duration-aware typical-to-atypical voice conversion approach with diffusion probabilistic model duta-vc 2306.11123 to fold or not to fold: graph regularized tensor train for visual data completion graphttc 2306.10703 fdnet: focal decomposed network for efficient, robust and practical time series forecasting fdnet 2306.11078 beyond normal: on the evaluation of mutual information estimators bmi 2306.09839 super-resolution radar imaging with sparse arrays using a deep neural network trained with enhanced virtual data sparse-array-radar-imaging 2306.08514 low-complexity steered response power mapping based on low-rank and sparse interpolation lr-sp-int-srp 2306.08728 towards trustworthy seizure onset detection using workflow notes eeg_robustness 2306.08903 two-way semantic transmission of images without feedback TW-SemanticComm 2306.08173 safeguarding data in multimodal ai: a differentially private approach to clip training dpclip 2306.07938 deep demixing: reconstructing the evolution of network epidemics Deep_demixing 2306.05775 weight freezing: a regularization approach for fully connected layers with an application in eeg classification weightfreezing 2306.06144 bayesian calibration of mems accelerometers bayes_cal_paper 2306.06375 optimized gradient tracking for decentralized online learning Optimized-Gradient-Tracking 2306.06522 ts-moco: time-series momentum contrast for self-supervised physiological representation learning ts-moco 2306.05812 hrtf upsampling with a generative adversarial network using a gnomonic equiangular projection hrtf-upsampling-with-a-generative-adversarial-network-using-a-gnomonic-equiangular-projection 2306.04810 correlative information maximization: a biologically plausible approach to supervised deep neural networks without weight symmetry Supervised-CorInfoMax 2306.05255 toward more accurate and generalizable brain deformation estimators for traumatic brain injury detection with unsupervised domain adaptation drca-mlhm 2306.04001 one-dimensional deep image prior for curve fitting of s-parameters from electromagnetic solvers curvefitting-dip 2306.04469 model-based deep learning mbdl_book 2306.04539 multimodal learning without labeled multimodal data: guarantees and applications pid 2306.02323 lora backscatter communications: temporal, spectral, and error performance analysis lora-backscatter-communications-temperal-spectral-and-error-performance-analysis 2306.03273 under-counted tensor completion with neural incorporation of attributes undercounted-tensor-completion 2306.03288 deep learning from crowdsourced labels: coupled cross-entropy minimization, identifiability, and regularization end-to-end-crowdsourcing 2306.03301 estimating conditional mutual information for dynamic feature selection dime 2306.01950 fast and interpretable nonlocal neural networks for image denoising via group-sparse convolutional dictionary learning groupcdl-tip 2306.02044 why we should report the details in subjective evaluation of tts more rigorously subjectiveevaluation 2306.02271 subspacenet: deep learning-aided subspace methods for doa estimation subspacenet 2306.02032 admm-based detector for large-scale mimo code-domain noma systems admm-based-detector-for-noma 2306.00181 conditionally strongly log-concave generative models wcrg 2306.00717 graph neural networks-based user pairing in wireless communication systems userpairing