Ian Gemp
Ian Gemp
DeepMind
Verified email at google.com - Homepage
Title
Cited by
Cited by
Year
Generative multi-adversarial networks
I Durugkar, I Gemp, S Mahadevan
arXiv preprint arXiv:1611.01673, 2016
1872016
Proximal reinforcement learning: A new theory of sequential decision making in primal-dual spaces
S Mahadevan, B Liu, P Thomas, W Dabney, S Giguere, N Jacek, I Gemp, ...
arXiv preprint arXiv:1405.6757, 2014
372014
Quantitative analysis of synaptic release at the photoreceptor synapse
G Duncan, K Rabl, I Gemp, R Heidelberger, WB Thoreson
Biophysical Journal 98 (10), 2102-2110, 2010
322010
Global convergence to the equilibrium of gans using variational inequalities
I Gemp, S Mahadevan
arXiv preprint arXiv:1808.01531, 2018
212018
Cadherin-dependent cell morphology in an epithelium: constructing a quantitative dynamical model
IM Gemp, RW Carthew, S Hilgenfeldt
PLoS Comput Biol 7 (7), e1002115, 2011
162011
Smooth markets: A basic mechanism for organizing gradient-based learners
D Balduzzi, WM Czarnecki, TW Anthony, IM Gemp, E Hughes, JZ Leibo, ...
arXiv preprint arXiv:2001.04678, 2020
32020
Proximal gradient temporal difference learning: Stable reinforcement learning with polynomial sample complexity
B Liu, I Gemp, M Ghavamzadeh, J Liu, S Mahadevan, M Petrik
Journal of Artificial Intelligence Research 63, 461-494, 2018
32018
Automated data cleansing through meta-learning
I Gemp, G Theocharous, M Ghavamzadeh
Twenty-Ninth IAAI Conference, 2017
32017
Online Monotone Games
I Gemp, S Mahadevan
arXiv preprint arXiv:1710.07328, 2017
22017
Unmixing in the presence of nuisances with deep generative models
M Parente, I Gemp, I Durugkar
2017 IEEE International Geoscience and Remote Sensing Symposium (IGARSS …, 2017
22017
Online Monotone Optimization
I Gemp, S Mahadevan
arXiv preprint arXiv:1608.07888, 2016
22016
Inverting Variational Autoencoders for Improved Generative Accuracy
I Gemp, I Durugkar, M Parente, MD Dyar, S Mahadevan
arXiv preprint arXiv:1608.05983, 2016
22016
Social Diversity and Social Preferences in Mixed-Motive Reinforcement Learning
KR McKee, I Gemp, B McWilliams, EA Duéñez-Guzmán, E Hughes, ...
arXiv preprint arXiv:2002.02325, 2020
12020
WEAKLY SEMI-SUPERVISED NEURAL TOPIC MODELS
I Gemp, R Nallapati, R Ding, F Nan, B Xiang
12019
Raman/LIBS Data Fusion via Two-Way Variational Autoencoders
M Parente, I Gemp
LPICo 2082 (2081), 6064, 2018
12018
Finding equilibria in large games using variational inequalities
I Gemp, S Mahadevan
Assoc Advance Artif Intell, 1-7, 2015
12015
Modeling context in cognition using variational inequalities
I Gemp, S Mahadevan
2014 AAAI Fall Symposium Series, 2014
12014
Learning to Play No-Press Diplomacy with Best Response Policy Iteration
T Anthony, T Eccles, A Tacchetti, J Kramár, I Gemp, TC Hudson, N Porcel, ...
arXiv preprint arXiv:2006.04635, 2020
2020
Neural Design of Contests and All-Pay Auctions using Multi-Agent Simulation
T Anthony, I Gemp, J Kramar, T Eccles, A Tacchetti, Y Bachrach
2019
From Optimization to Equilibration: Understanding an Emerging Paradigm in Artificial Intelligence and Machine Learning
I Gemp
2019
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Articles 1–20