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Noah D. Goodman

Identifiers

  • name variant Noah D. Goodman 0.60 · backfill

Papers (26)

  1. CORE: Contrastive Reflection Enables Rapid Improvements in Reasoning cs.AI · 2026 · author #5
  2. Measuring Progress Toward AGI: A Cognitive Framework cs.AI · 2026 · author #11
  3. Neural Garbage Collection: Learning to Forget while Learning to Reason cs.LG · 2026 · author #4
  4. GIANTS: Generative Insight Anticipation from Scientific Literature cs.CL · 2026 · author #8
  5. Cognitive Behaviors that Enable Self-Improving Reasoners, or, Four Habits of Highly Effective STaRs cs.CL · 2025 · author #5
  6. Quiet-STaR: Language Models Can Teach Themselves to Think Before Speaking cs.CL · 2024 · author #6
  7. Learning to Explain: Answering Why-Questions via Rephrasing cs.CL · 2019 · author #3
  8. ShapeGlot: Learning Language for Shape Differentiation cs.CL · 2019 · author #4
  9. Joint Mapping and Calibration via Differentiable Sensor Fusion cs.CV · 2018 · author #5
  10. Pyro: Deep Universal Probabilistic Programming cs.LG · 2018 · author #10
  11. An Incremental Iterated Response Model of Pragmatics cs.CL · 2018 · author #2
  12. Planning, Inference and Pragmatics in Sequential Language Games cs.CL · 2018 · author #2
  13. Evaluating Compositionality in Sentence Embeddings cs.CL · 2018 · author #5
  14. DisSent: Sentence Representation Learning from Explicit Discourse Relations cs.CL · 2017 · author #3
  15. Learning Disentangled Representations with Semi-Supervised Deep Generative Models stat.ML · 2017 · author #5
  16. Colors in Context: A Pragmatic Neural Model for Grounded Language Understanding cs.CL · 2017 · author #3
  17. Inducing Interpretable Representations with Variational Autoencoders stat.ML · 2016 · author #6
  18. Deep Amortized Inference for Probabilistic Programs cs.AI · 2016 · author #3
  19. The Language of Generalization cs.CL · 2016 · author #2
  20. Learning to Generate Compositional Color Descriptions cs.CL · 2016 · author #2
  21. Neurally-Guided Procedural Models: Amortized Inference for Procedural Graphics Programs using Neural Networks cs.GR · 2016 · author #4
  22. Learning the Preferences of Ignorant, Inconsistent Agents cs.AI · 2015 · author #3
  23. Coarse-to-Fine Sequential Monte Carlo for Probabilistic Programs cs.AI · 2015 · author #4
  24. C3: Lightweight Incrementalized MCMC for Probabilistic Programs using Continuations and Callsite Caching cs.AI · 2015 · author #3
  25. A Dynamic Programming Algorithm for Inference in Recursive Probabilistic Programs cs.AI · 2012 · author #2
  26. Inducing Probabilistic Programs by Bayesian Program Merging cs.AI · 2011 · author #3

Mentions

  • 2605.28742 #5 · arxiv_oai · confidence 0.70 Noah D. Goodman
  • 2605.28405 #11 · arxiv_oai · confidence 0.70 Noah D. Goodman
  • 1206.3555 #2 · backfill · confidence 0.70 Noah D. Goodman
  • 1110.5667 #3 · backfill · confidence 0.70 Noah D. Goodman
  • 2503.01307 #5 · arxiv_oai · confidence 0.70 Noah D. Goodman
  • 2403.09629 #6 · arxiv_oai · confidence 0.70 Noah D. Goodman

Frequent Coauthors