← authors · overview

• Latent Normalizing Flows for Discrete Sequences
  2019 · 46 citations
• Automating Botnet Detection with Graph Neural Networks
  2020 · 46 citations
• Avoiding Latent Variable Collapse With Generative Skip Models
  2018 · 35 citations
• Semi-Amortized Variational Autoencoders
  2018 · 34 citations
• A Tutorial on Deep Latent Variable Models of Natural Language
  2018 · 33 citations
• ESB: A Benchmark For Multi-Domain End-to-End Speech Recognition
  2022 · 13 citations
• Distil-Whisper: Robust Knowledge Distillation via Large-Scale Pseudo Labelling
  2023 · 12 citations
• Compound Probabilistic Context-Free Grammars for Grammar Induction
  2019 · 7 citations
• A Hierarchy of Graph Neural Networks Based on Learnable Local Features
  2019 · 7 citations
• Teal: Learning-Accelerated Optimization of WAN Traffic Engineering
  2022 · 3 citations
• Latent Template Induction with Gumbel-CRFs
  2020 · 2 citations
• The Mamba in the Llama: Distilling and Accelerating Hybrid Models
  2024 · 2 citations
• M1: Towards Scalable Test-Time Compute with Mamba Reasoning Models
  2025
• Multi-Turn Code Generation Through Single-Step Rewards
  2025
• Diffusion Models Without Attention
  2023