stat.ML

Papers

• Negligible in Size, Significant in Effect: On Scale Vectors in Large Language Models (2026)
  Mingze Wang et al.
  10.48
• Variance Reduction for Expectations with Diffusion Teachers (2026)
  Jesse Bettencourt et al.
  4.54
• Trading Devil: Robust backdoor attack via Stochastic investment models and Bayesian approach (2025)
  Orson Mengara
  4.52
• GenSBI: Generative Methods for Simulation-Based Inference in JAX (2026)
  Aurelio Amerio
  3.91
• Reformulation of RBM to Unify Linear and Nonlinear Dimensionality Reduction (2026)
  Jiangsheng You et al.
  0.00
• Learnable Kernel Density Estimation for Graphs and Its Application to Graph-Level Anomaly Detection (2026)
  Xudong Wang et al.
  0.00
• Interpretability and Generalization Bounds for Learning Spatial Physics (2026)
  Alejandro Francisco Queiruga et al.
  0.00
• Error Analysis of Discrete Flow with Generator Matching (2026)
  Zhengyan Wan et al.
  0.00
• ECSEL: Explainable Classification via Signomial Equation Learning (2026)
  Adia Lumadjeng et al.
  0.00
• Audio-Visual Speech Enhancement Using Multimodal Deep Convolutional Neural Networks (2022)
  Jen-Cheng Hou et al.
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• Extended pipeline for content-based feature engineering in music genre recognition (2021)
  Tina Raissi (1) et al.
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• A punishment voting algorithm based on super categories construction for acoustic scene classification (2021)
  Weiping Zheng et al.
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• Acoustic Scene Classification: A Competition Review (2024)
  Shayan Gharib et al.
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• Unsupervised Deep Clustering for Source Separation: Direct Learning from Mixtures using Spatial Information (2021)
  Efthymios Tzinis et al.
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• TimbreTron: A WaveNet(CycleGAN(CQT(Audio))) Pipeline for Musical Timbre Transfer (2023)
  Sicong Huang et al.
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• End-to-End Multi-Task Denoising for joint SDR and PESQ Optimization (2023)
  Jaeyoung Kim et al.
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• A Deep Generative Model of Speech Complex Spectrograms (2022)
  Aditya Arie Nugraha et al.
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• Adversarial Approximate Inference for Speech to Electroglottograph Conversion (2022)
  Prathosh A. P. et al.
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• A New Multilabel System for Automatic Music Emotion Recognition (2021)
  Fabio Paolizzo et al.
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• Focal Loss based Residual Convolutional Neural Network for Speech Emotion Recognition (2025)
  Suraj Tripathi et al.
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• Learning Waveform-Based Acoustic Models using Deep Variational Convolutional Neural Networks (2021)
  Dino Oglic and Zoran Cvetkovic and Peter Sollich
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• Supervised Symbolic Music Style Translation Using Synthetic Data (2021)
  Ond\v{r}ej C\'ifka et al.
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• Two-Step Sound Source Separation: Training on Learned Latent Targets (2021)
  Efthymios Tzinis et al.
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• Complex Transformer: A Framework for Modeling Complex-Valued Sequence (2021)
  Muqiao Yang et al.
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• Listen and Fill in the Missing Letters: Non-Autoregressive Transformer for Speech Recognition (2021)
  Nanxin Chen et al.
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• Improving Universal Sound Separation Using Sound Classification (2021)
  Efthymios Tzinis et al.
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• Improving Polyphonic Music Models with Feature-Rich Encoding (2021)
  Omar Peracha
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• Augmentation Methods on Monophonic Audio for Instrument Classification in Polyphonic Music (2021)
  Agelos Kratimenos et al.
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• Improving Non-Intrusive Load Disaggregation through an Attention-Based Deep Neural Network (2021)
  Veronica Piccialli et al.
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• On the human evaluation of audio adversarial examples (2021)
  Jon Vadillo and Roberto Santana
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• Uncertainty Estimation in Autoregressive Structured Prediction (2021)
  Andrey Malinin et al.
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• Bio-Inspired Modality Fusion for Active Speaker Detection (2021)
  Gustavo Assun\c{c}\~ao et al.
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• SELD-TCN: Sound Event Localization & Detection via Temporal Convolutional Networks (2021)
  Karim Guirguis et al.
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• Training for Speech Recognition on Coprocessors (2024)
  Sebastian Baunsgaard and Sebastian B. Wrede and P{\i}nar Tozun
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• WaveCRN: An Efficient Convolutional Recurrent Neural Network for End-to-end Speech Enhancement (2021)
  Tsun-An Hsieh et al.
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• End-to-End Whisper to Natural Speech Conversion using Modified Transformer Network (2021)
  Abhishek Niranjan et al.
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• Simple Lifelong Learning Machines (2025)
  Jayanta Dey et al.
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• Incremental Learning for End-to-End Automatic Speech Recognition (2021)
  Li Fu et al.
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• GACELA -- A generative adversarial context encoder for long audio inpainting (2021)
  Andres Marafioti et al.
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• Distilling Knowledge from Ensembles of Acoustic Models for Joint CTC-Attention End-to-End Speech Recognition (2021)
  Yan Gao et al.
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• TinyLSTMs: Efficient Neural Speech Enhancement for Hearing Aids (2021)
  Igor Fedorov et al.
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• Deep Sensory Substitution: Noninvasively Enabling Biological Neural Networks to Receive Input from Artificial Neural Networks (2021)
  Andrew Port et al.
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• Scalable Polyhedral Verification of Recurrent Neural Networks (2021)
  Wonryong Ryou et al.
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• Bayesian Restoration of Audio Degraded by Low-Frequency Pulses Modeled via Gaussian Process (2024)
  Hugo Tremonte de Carvalho et al.
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• Wavelet Networks: Scale-Translation Equivariant Learning From Raw Time-Series (2024)
  David W. Romero et al.
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• Anti-Transfer Learning for Task Invariance in Convolutional Neural Networks for Speech Processing (2021)
  Eric Guizzo et al.
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• Evaluation of Neural Architectures Trained with Square Loss vs Cross-Entropy in Classification Tasks (2021)
  Like Hui and Mikhail Belkin
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• Comparing Natural Language Processing Techniques for Alzheimer's Dementia Prediction in Spontaneous Speech (2023)
  Thomas Searle et al.
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• Lipschitz Recurrent Neural Networks (2021)
  N.Benjamin Erichson et al.
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• Embodied Self-supervised Learning by Coordinated Sampling and Training (2022)
  Yifan Sun and Xihong Wu
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