Follow
David I. Inouye
David I. Inouye
Assistant Professor, Purdue University
Verified email at purdue.edu - Homepage
Title
Cited by
Cited by
Year
On the (in) fidelity and sensitivity of explanations
CK Yeh, CY Hsieh, A Suggala, DI Inouye, PK Ravikumar
Advances in neural information processing systems 32, 2019
4112019
Comparing Twitter Summarization Algorithms for Multiple Post Summaries
DI Inouye, JK Kalita
IEEE International Conference on Social Computing (SocialCom), 2011
2582011
A review of multivariate distributions for count data derived from the Poisson distribution
DI Inouye, E Yang, GI Allen, P Ravikumar
Wiley Interdisciplinary Reviews: Computational Statistics 9 (3), e1398, 2017
1532017
Summarization of twitter microblogs
BP Sharifi, DI Inouye, JK Kalita
The computer journal 57 (3), 378-402, 2014
612014
Shapley Explanation Networks
R Wang, X Wang, DI Inouye
International Conference on Learning Representations (ICLR), 2021
412021
Admixture of Poisson MRFs: A topic model with word dependencies
DI Inouye, P Ravikumar, I Dhillon
Proceedings of The 31st International Conference on Machine Learning (ICML …, 2014
412014
Multiple post microblog summarization
DI Inouye
REU Research Final Report 1, 34-40, 2010
312010
Square Root Graphical Models: Multivariate Generalizations of Univariate Exponential Families that Permit Positive Dependencies
DI Inouye, P Ravikumar, IS Dhillon
Proceedings of the 33rd International Conference on Machine Learning (ICML), 2016
282016
Feature shift detection: Localizing which features have shifted via conditional distribution tests
S Kulinski, S Bagchi, DI Inouye
Advances in Neural Information Processing Systems (NeurIPS), 2020
242020
Towards undistorted and noise-free speech in an MRI scanner: correlation subtraction followed by spectral noise gating
JM Inouye, SS Blemker, DI Inouye
The Journal of the Acoustical Society of America 135 (3), 1019-1022, 2014
192014
Deep Density Destructors
DI Inouye, P Ravikumar
International Conference on Machine Learning, 2172-2180, 2018
172018
Hyperparameter Selection under Localized Label Noise via Corrupt Validation
DI Inouye, P Ravikumar, P Das, A Datta
Learning with Limited Labeled Data NeurIPS Workshop, 2017
122017
Styleuv: Diverse and high-fidelity uv map generative model
M Lee, W Cho, M Kim, D Inouye, N Kwak
arXiv preprint arXiv:2011.12893, 2020
112020
Capturing Semantically Meaningful Word Dependencies with an Admixture of Poisson MRFs
DI Inouye, PK Ravikumar, IS Dhillon
Advances in Neural Information Processing Systems (NIPS), 3158-3166, 2014
102014
Towards explaining distribution shifts
S Kulinski, DI Inouye
International Conference on Machine Learning, 17931-17952, 2023
92023
Fixed-Length Poisson MRF: Adding Dependencies to the Multinomial
DI Inouye, PK Ravikumar, IS Dhillon
Advances in Neural Information Processing Systems (NIPS), 3213-3221, 2015
82015
VisIRR: Interactive visual information retrieval and recommendation for large-scale document data
J Choo, C Lee, E Clarkson, Z Liu, H Lee, DHP Chau, F Li, R Kannan, ...
Georgia Institute of Technology, 2013
82013
Efficient federated domain translation
Z Zhou, SS Azam, C Brinton, DI Inouye
The Eleventh International Conference on Learning Representations, 2022
72022
Towards enhanced controllability of diffusion models
W Cho, H Ravi, M Harikumar, V Khuc, KK Singh, J Lu, DI Inouye, A Kale
arXiv preprint arXiv:2302.14368, 2023
52023
Iterative alignment flows
Z Zhou, Z Gong, P Ravikumar, DI Inouye
International Conference on Artificial Intelligence and Statistics, 6409-6444, 2022
5*2022
The system can't perform the operation now. Try again later.
Articles 1–20