vix.ing
·
top
·
new
·
best
·
stats
·
spec
Learning long-term dependencies with gradient descent is difficult
1994/03/01 by
Y. Bengio
,
P. Simard
,
P. Frasconi
· 52 citations
paper
· doi:10.1109/72.279181
Cited by
Reactive Transformer (RxT) -- Stateful Real-Time Processing for Event-Driven Reactive Language Models
HRM-Text: Efficient Pretraining Beyond Scaling
Human-AI Collaborative Uncertainty Quantification
Dopamine-driven synaptic credit assignment in neural networks
Extreme value forecasting using relevance-based data augmentation with deep learning models
Weights initialization of neural networks for function approximation
Artificial Hippocampus Networks for Efficient Long-Context Modeling
HTMformer: Hybrid Time and Multivariate Transformer for Time Series Forecasting
Gather-Scatter Mamba: Accelerating Propagation with Efficient State Space Model
Identifying Information-Transfer Nodes in a Recurrent Neural Network Reveals Dynamic Representations
Room Impulse Response Prediction with Neural Networks: From Energy Decay Curves to Perceptual Validation
Deep Learning-Based Prediction of Energy Decay Curves from Room Geometry and Material Properties
Who invented deep residual learning?
PALQO: Physics-informed Model for Accelerating Large-scale Quantum Optimization
Improving the Performance and Learning Stability of Parallelizable RNNs Designed for Ultra-Low Power Applications
The Topological Trouble With Transformers
Neural Network Based Framework for Passive Intermodulation Cancellation in MIMO Systems
Deep Learning Inductive Biases for fMRI Time Series Classification during Resting-state and Movie-watching
M4GN: Mesh-based Multi-segment Hierarchical Graph Network for Dynamic Simulations
AquaCast: Urban Water Dynamics Forecasting with Precipitation-Informed Multi-Input Transformer
Measuring General Associations in Time Series: An Adaptation and Empirical Evaluation of the CODEC Coefficient in Determining Autoregressive Dynamics
Uncertainty-Aware Neural Networks for Fuzzy Dark Matter Model Selection from \texorpdfstringx
\rm HI
x
H
I Measurements
Deep Learning for Conditional Asset Pricing Models
A Brain-Inspired Gating Mechanism Unlocks Robust Computation in Spiking Neural Networks
Motor Imagery EEG Signal Classification Using Minimally Random Convolutional Kernel Transform and Hybrid Deep Learning
A constrained optimization approach to nonlinear system identification through simulation error minimization
Deep Residual Echo State Networks: exploring residual orthogonal connections in untrained Recurrent Neural Networks
C
1
-approximation with rational functions and rational neural networks
Revisiting associative recall in modern recurrent models
Frozen in Time: Parameter-Efficient Time Series Transformers via Reservoir-Induced Feature Expansion and Fixed Random Dynamics
Wormhole Dynamics in Deep Neural Networks
Autoregressive Typical Thermal States
Bi-Axial Transformers: Addressing the Increasing Complexity of EHR Classification
The Role of Entanglement in Quantum Reservoir Computing with Coupled Kerr Nonlinear Oscillators
Lameness detection in dairy cows using pose estimation and bidirectional LSTMs
Reinforcement learning in densely recurrent biological networks
Chi-Geometry: A Library for Benchmarking Chirality Prediction of GNNs
Neural Networks with Orthogonal Jacobian
The Vanishing Gradient Problem for Stiff Neural Differential Equations
Forecasting NCAA Basketball Outcomes with Deep Learning: A Comparative Study of LSTM and Transformer Models
Hebbian Memory-Augmented Recurrent Networks: Engram Neurons in Deep Learning
Spatial-Temporal Reinforcement Learning for Network Routing with Non-Markovian Traffic
Reinforced Embodied Active Defense: Exploiting Adaptive Interaction for Robust Visual Perception in Adversarial 3D Environments
Quantum Boltzmann Machines using Parallel Annealing for Medical Image Classification
Physics-guided gated recurrent units for inversion-based feedforward control
Global weather forecasting through deep learning: applications and challenges
A Wavelength-Aware Unsupervised Learning Approach for Large, Multicolor, Photometric Surveys
The Serial Scaling Hypothesis
Data-Driven Dimensional Synthesis of Diverse Planar Four-bar Function Generation Mechanisms via Direct Parameterization
Data-Driven Reconstruction and Characterization of Stochastic Dynamics via Dynamical Mode Decomposition
Introduction to Quantum Error Correction with Stabilizer Codes
RAT: Bridging RNN Efficiency and Attention Accuracy via Chunk-based Sequence Modeling