1 citations · 1 across the 9 of their papers we have counts for
4 papers · 1 filter
Aligning AI-driven discovery with human intuition
Kevin Zhang, Judah Goldfeder, Hod Lipson
As data-driven modeling of physical dynamical systems becomes more prevalent, a new challenge is emerging: making these models more compatible and aligned with existing human knowl…
CaBaGe: Data-Free Model Extraction using ClAss BAlanced Generator Ensemble
Jonathan Rosenthal, Shanchao Liang, Kevin Zhang +1
Machine Learning as a Service (MLaaS) is often provided as a pay-per-query, black-box system to clients. Such a black-box approach not only hinders open replication, validation, an…
Deep Autoregressive Models as Causal Inference Engines
Daniel Jiwoong Im, Kevin Zhang, Nakul Verma +1
Existing causal inference (CI) models are often restricted to data with low-dimensional confounders and singleton actions. We propose an autoregressive (AR) CI framework capable of…
Conformer-1: Robust ASR via Large-Scale Semisupervised Bootstrapping
Kevin Zhang, Luka Chkhetiani, Francis McCann Ramirez +10
This paper presents Conformer-1, an end-to-end Automatic Speech Recognition (ASR) model trained on an extensive dataset of 570k hours of speech audio data, 91% of which was acquire…