activity
20182021
most citedLinear Range in Gradient Descent

3 citations · 4 across the 2 of their papers we have counts for

collaborators

5 papers

cs.CL2021

VoxPopuli: A Large-Scale Multilingual Speech Corpus for Representation Learning, Semi-Supervised Learning and Interpretation

Changhan Wang, Morgane Rivière, Ann Lee +6

We introduce VoxPopuli, a large-scale multilingual corpus providing 100K hours of unlabelled speech data in 23 languages. It is the largest open data to date for unsupervised repre…

physics.flu-dyn20201 cited

Adjoint-based trailing edge shape optimization of a transonic turbine vane using large eddy simulations

Chaitanya Talnikar, Qiqi Wang

The shape of the trailing edge of a gas turbine nozzle guide vane has a significant effect on the downstream stagnation pressure loss and heat transfer over the surface of the vane…

cs.CL2020

Joint Masked CPC and CTC Training for ASR

Chaitanya Talnikar, Tatiana Likhomanenko, Ronan Collobert +1

Self-supervised learning (SSL) has shown promise in learning representations of audio that are useful for automatic speech recognition (ASR). But, training SSL models like wav2vec~…

math.OC20193 cited

Linear Range in Gradient Descent

Angxiu Ni, Chaitanya Talnikar

This paper defines linear range as the range of parameter perturbations which lead to approximately linear perturbations in the states of a network. We compute linear range from th…

physics.comp-ph2018

Feasibility analysis of ensemble sensitivity computation in turbulent flows

Nisha Chandramoorthy, Pablo Fernandez, Chaitanya Talnikar +1

In chaotic systems, such as turbulent flows, the solutions to tangent and adjoint equations exhibit an unbounded growth in their norms. This behavior renders the instantaneous tang…