Introduces the binning semiring and causal graphical models to show that correlational evaluation of learnability in formal language tasks leads to incorrect conclusions from confounders.
LSTM Networks Can Perform Dynamic Counting
3 Pith papers cite this work. Polarity classification is still indexing.
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2026 3verdicts
UNVERDICTED 3representative citing papers
Rubato model with InterMo representation outperforms cascade methods in generating timestamped piano sheet music from audio, even when cascades receive ground-truth MIDI.
Deriving a neural cellular automaton from locality, symmetry, and stability postulates produces 100% accurate addition generalization from 16-digit to 1-million-digit inputs.
citing papers explorer
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Causally Evaluating the Learnability of Formal Language Tasks
Introduces the binning semiring and causal graphical models to show that correlational evaluation of learnability in formal language tasks leads to incorrect conclusions from confounders.
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Rubato: Transcribing Piano Music with Timestamps
Rubato model with InterMo representation outperforms cascade methods in generating timestamped piano sheet music from audio, even when cascades receive ground-truth MIDI.
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On the Spatiotemporal Dynamics of Generalization in Neural Networks
Deriving a neural cellular automaton from locality, symmetry, and stability postulates produces 100% accurate addition generalization from 16-digit to 1-million-digit inputs.