Travelled to:1 × China
1 × France
1 × Israel
Collaborated with:A.Mnih Y.LeCun I.Danihelka D.Wierstra M.Germain I.Murray H.Larochelle T.Schaul D.Horgan D.Silver A.Graves D.J.Rezende C.Blundell
Talks about:network (3) approxim (2) neural (2) learn (2) distribut (1) autoencod (1) function (1) univers (1) regress (1) generat (1)
Person: Karol Gregor
DBLP: Gregor:Karol
Contributed to:
201520142010Wrote 6 papers:
- ICML-2015-GermainGML #estimation #named
- MADE: Masked Autoencoder for Distribution Estimation (MG, KG, IM, HL), pp. 881–889.
- ICML-2015-GregorDGRW #generative #image #named #network
- DRAW: A Recurrent Neural Network For Image Generation (KG, ID, AG, DJR, DW), pp. 1462–1471.
- ICML-2015-SchaulHGS #approximate
- Universal Value Function Approximators (TS, DH, KG, DS), pp. 1312–1320.
- ICML-c2-2014-GregorDMBW #network
- Deep AutoRegressive Networks (KG, ID, AM, CB, DW), pp. 1242–1250.
- ICML-c2-2014-MnihG #learning #network
- Neural Variational Inference and Learning in Belief Networks (AM, KG), pp. 1791–1799.
- ICML-2010-GregorL #approximate #learning #performance
- Learning Fast Approximations of Sparse Coding (KG, YL), pp. 399–406.