2 papers
cs.LG2026
Contextual Plackett-Luce: An Efficient Neural Model for Probabilistic Sequence Selection under Ambiguity
Noam Mizrachi, Nadav Har-Tuv, Shai Shalev-Shwartz
Selecting a coherent sequence or subset of elements is a fundamental problem in structured prediction, arising in tasks such as detection, trajectory forecasting, and representativ…
cs.SD2025
PAST: Phonetic-Acoustic Speech Tokenizer
Nadav Har-Tuv, Or Tal, Yossi Adi
We present PAST, a novel end-to-end framework that jointly models phonetic information alongside signal reconstruction, eliminating the need for external pretrained models. Unlike…