- Ting-Hsu Lai, Tsung-Jung Liu, Kuan-Hsien Liu:
Scale Selection Network with Attention Mechanism for Crowd Counting. MLSP 2023: 1-6 - Quang Le, François Chan, Claude D'Amours:
Spatiotemporal Predictive Models for Irregularly Sampled Time Series. MLSP 2023: 1-6 - Yiwei Li, Chien-Wei Huang, Shuai Wang, Chong-Yung Chi, Tony Q. S. Quek:
Privacy-Preserving Federated Primal-Dual Learning for Non-Convex Problems With Non-Smooth Regularization. MLSP 2023: 1-6 - Xi Li, David J. Miller, Zhen Xiang, George Kesidis:
A BIC-Based Mixture Model Defense Against Data Poisoning Attacks on Classifiers. MLSP 2023: 1-6 - Steffen Limmer, Alberto Martínez Alba, Nicola Michailow:
Physics-Informed Neural Networks for Pathloss Prediction. MLSP 2023: 1-5 - Jakob Lindqvist, Amanda Olmin, Lennart Svensson, Fredrik Lindsten:
Generalised Active Learning With Annotation Quality Selection. MLSP 2023: 1-6 - Ziwen Liu, Scott Allan Orr, Josep Grau-Bove:
Htgtm: Hybrid Temporal-Graph Tabular Model For Complex Multimodal Tabular Data Processing. MLSP 2023: 1-6 - Yi-Cheng Lo, Cheng-Lin Hsieh, An-Yeu Andy Wu:
Constraints-Aware Trainable Pruning With System Optimization For The On-Demand Offloading Edge-Cloud Collaborative System. MLSP 2023: 1-6 - Hans-Andrea Loeliger:
On NUP Priors and Gaussian Message Passing. MLSP 2023: 1-6 - Iván López-Espejo, Santi Prieto, Alfonso Ortega, Eduardo Lleida:
Improved Vocal Effort Transfer Vector Estimation For Vocal Effort-Robust Speaker Verification. MLSP 2023: 1-6 - Oswaldo Ludwig, Tom Claes:
Compressing Wav2vec2 for Embedded Applications. MLSP 2023: 1-6 - Mykola Lukashchuk, Ismail Senöz, Bert de Vries:
Efficient Bayesian Inference By Conjugate-Computation Variational Message Passing. MLSP 2023: 1-6 - Kincaid MacDonald, Dhananjay Bhaskar, Guy Thampakkul, Nhi Nguyen, Joia Zhang, Michael Perlmutter, Ian Adelstein, Smita Krishnaswamy:
A Flow Artist for High-Dimensional Cellular Data. MLSP 2023: 1-6 - Anders Gjølbye Madsen, William Theodor Lehn-Schiøler, Áshildur Jónsdóttir, Bergdís Arnardóttir, Lars Kai Hansen:
Concept-Based Explainability for an EEG Transformer Model. MLSP 2023: 1-6 - Henri Makika, João Marcos Travassos Romano, Rosangela Ballini:
Deep Learning Techniques For Time Series Forecasting: An Application For Exchange Rates. MLSP 2023: 1-6 - Matteo Mancanelli, Eleonora Grassucci, Aurelio Uncini, Danilo Comminiello:
Phydi: Initializing Parameterized Hypercomplex Neural Networks As Identity Functions. MLSP 2023: 1-6 - I. Martin, Fran Pastor-Naranjo, Félix Fuentes-Hurtado, Jose A. Belloch, Luis Antonio Azpicueta-Ruiz, Valery Naranjo, Gema Piñero:
Predicting Room Impulse Responses Through Encoder-Decoder Convolutional Neural Networks. MLSP 2023: 1-6 - Runxuan Miao, Erdem Koyuncu:
Federated Representation Learning Through Clustering. MLSP 2023: 1-6 - Riccardo Miccini, Alaa Zniber, Clément Laroche, Tobias Piechowiak, Martin Schoeberl, Luca Pezzarossa, Ouassim Karrakchou, Jens Sparsø, Mounir Ghogho:
Dynamic nsNET2: Efficient Deep Noise Suppression with Early Exiting. MLSP 2023: 1-6 - Katherine Morales, Yohan Petetin:
A Probabilistic Semi-Supervised Approach with Triplet Markov Chains. MLSP 2023: 1-6 - Thuan Nguyen, Matthias Scheutz, Shuchin Aeron:
On The Failure of Invariant Risk Minimization and an Effective fix via Classification Error Control. MLSP 2023: 1-6 - Hoang M. H. Nguyen, Ismail Senöz, Bert de Vries:
Gaussian Process Amplitude Demodulation By Message-Passing. MLSP 2023: 1-6 - Illia Oleksiienko, Alexandros Iosifidis:
Layer Ensembles. MLSP 2023: 1-6 - Mohammad Amin Omidi, Babak Seyfe, Shahrokh Valaee:
Robust Feature Selection With Weight Cost Maximin Optimization. MLSP 2023: 1-6 - Eirik Agnalt Østmo, Kristoffer K. Wickstrøm, Keyur Radiya, Michael C. Kampffmeyer, Robert Jenssen:
View it Like a Radiologist: Shifted Windows for Deep Learning Augmentation Of CT Images. MLSP 2023: 1-6 - Francesco A. N. Palmieri, Krishna R. Pattipati, Giovanni Di Gennaro, Amedeo Buonanno, Caterina Fedele:
Belief Propagation of Pareto Front in Multi-Objective MDP Graphs. MLSP 2023: 1-6 - Hyunwoo Park, Hyeonjin Chung, Sunwoo Kim:
Semi-Supervised Learning-Based Approach for DOA Estimation Under Hardware Impairments. MLSP 2023: 1-6 - Michela Proietti, Alessio Ragno, Roberto Capobianco:
Memory Replay For Continual Learning With Spiking Neural Networks. MLSP 2023: 1-6 - Ammu R, Neelam Sinha:
Analysis of Mild Cognitive Impairment Utilizing Covariance Matrices of Brain Regions. MLSP 2023: 1-6 - Prajit T. Rajendran, Huáscar Espinoza, Agnès Delaborde, Chokri Mraidha:
Stream-Based Active Learning with Adaptive Uncertainty and Diversity Thresholds. MLSP 2023: 1-6