Showing 1–20 of 26 results
/ Date/ Name
May 6, 2024Prediction of chaotic dynamics and extreme events: A recurrence-free quantum reservoir computing approachSep 2, 2024Optimal training of finitely-sampled quantum reservoir computers for forecasting of chaotic dynamicsJun 27, 2025Robust quantum reservoir computers for forecasting chaotic dynamics: generalized synchronization and stabilityApr 7, 2019Human Intracranial EEG Quantitative Analysis and Automatic Feature Learning for Epileptic Seizure PredictionMar 12, 2012Decentralized, Adaptive, Look-Ahead Particle FilteringSep 29, 2025Fingerprinting LLMs via Prompt InjectionFeb 23, 2025A Systematic Review of Open Datasets Used in Text-to-Image (T2I) Gen AI Model SafetyOct 2, 2024Were RNNs All We Needed?May 7, 2026Can LLMs Take Retrieved Information with a Grain of Salt?May 17, 2022Monotonicity Regularization: Improved Penalties and Novel Applications to Disentangled Representation Learning and Robust ClassificationNov 19, 2022Gumbel-Softmax Selective NetworksApr 16, 2015Non-Uniform Stochastic Average Gradient Method for Training Conditional Random FieldsJan 8, 2026Do LLMs Benefit from User and Item Embeddings in Recommendation Tasks?Nov 15, 2022Latent Bottlenecked Attentive Neural ProcessesOct 18, 2019Point Process FlowsNov 5, 2015Stop Wasting My Gradients: Practical SVRGMay 23, 2023Memory Efficient Neural Processes via Constant Memory Attention BlockJan 27, 2023Meta Temporal Point ProcessesNov 6, 2023AdaFlood: Adaptive Flood RegularizationMay 22, 2024Attention as an RNN