Neural Networks

Inference of Neural Dynamics Using Switching Recurrent Neural Networks NeurIPS 2024 Inferring Neural Signed Distance Functions by Overfitting on Single Noisy Point Clouds through Finetuning Data-Driven based Priors NeurIPS 2024 Inferring stochastic low-rank recurrent neural networks from neural data NeurIPS 2024 Infinite-Dimensional Feature Interaction NeurIPS 2024 InfoNet: Neural Estimation of Mutual Information without Test-Time Optimization ICML 2024 Information Bottleneck Analysis of Deep Neural Networks via Lossy Compression ICLR 2024 Infusing Self-Consistency into Density Functional Theory Hamiltonian Prediction via Deep Equilibrium Models NeurIPS 2024 In-Hand 3D Object Reconstruction from a Monocular RGB Video AAAI 2024 Inherently Interpretable Time Series Classification via Multiple Instance Learning ICLR 2024 Initial Guessing Bias: How Untrained Networks Favor Some Classes ICML 2024 Injecting Undetectable Backdoors in Obfuscated Neural Networks and Language Models NeurIPS 2024 Innovative Directional Encoding in Speech Processing: Leveraging Spherical Harmonics Injection for Multi-Channel Speech Enhancement IJCAI 2024 Input Margins Can Predict Generalization Too AAAI 2024 InsertNeRF: Instilling Generalizability into NeRF with HyperNet Modules ICLR 2024 Instrumental Variable Estimation for Causal Inference in Longitudinal Data with Time-Dependent Latent Confounders AAAI 2024 Integrating GNN and Neural ODEs for Estimating Non-Reciprocal Two-Body Interactions in Mixed-Species Collective Motion NeurIPS 2024 Integrating Plutchik’s Theory with Mixture of Experts for Enhancing Emotion Classification EMNLP 2024 Interactive Mars Image Content-Based Search with Interpretable Machine Learning AAAI 2024 Interference Aware Training Target for DNN based joint Acoustic Echo Cancellation and Noise Suppression Interspeech 2024 Interpretable Assessment of Speech Intelligibility Using Deep Learning: A Case Study on Speech Disorders Due to Head and Neck Cancers COLING 2024 Interpretable Concept Bottlenecks to Align Reinforcement Learning Agents NeurIPS 2024 Interpretable data-driven model predictive control of building energy systems using SHAP L4DC 2024 Interpretable Mesomorphic Networks for Tabular Data NeurIPS 2024 Interpretable Uncertainty-Aware Deep Regression with Cohort Saliency Analysis for Three-Slice CT Imaging Studies MIDL 2024 InterpreTabNet: Distilling Predictive Signals from Tabular Data by Salient Feature Interpretation ICML 2024