Fetching the paper…
Reading the bibliography…
We present a novel, conditional generative probabilistic model of set-valued data with a tractable log density.
Theory of Ordinary Differential Equations
E. A. Coddington and N. Levinson · 1955
Earlier work this paper cites.
A family of embedded runge-kutta formulae
J. Dormand and P. Prince · 1980
Earlier work this paper cites.
A microscopic traffic simulator for evaluation of dynamic traffic management systems
Q. Yang and H. N. Koutsopoulos · 1996
Earlier work this paper cites.
Gradient-based learning applied to document recognition
Y. Lecun, L. Bottou, Y. Bengio, and P. Haffner · 1998
Earlier work this paper cites.
Density estimation by dual ascent of the log-likelihood
E. G. Tabak and E. Vanden-Eijnden · 2010
Earlier work this paper cites.
A family of nonparametric density estimation algorithms
E. G. Tabak and C. V. Turner · 2013
Earlier work this paper cites.
Rich feature hierarchies for accurate object detection and semantic segmentation
R. Girshick, J. Donahue, T. Darrell, and J. Malik · 2014
Earlier work this paper cites.
Generative adversarial nets
I. Goodfellow, J. Pouget-Abadie, M. Mirza, B. Xu, D. Warde-Farley, S. Ozair, A. Courville, and Y. Bengio · 2014
Earlier work this paper cites.
Auto-encoding variational bayes
D. P. Kingma and M. Welling · 2014
Earlier work this paper cites.
Transformation properties of learned visual representations
T. S. Cohen and M. Welling · 2015
Earlier work this paper cites.
Convolutional networks on graphs for learning molecular fingerprints
D. K. Duvenaud, D. Maclaurin, J. Iparraguirre, R. Bombarell, T. Hirzel, A. Aspuru-Guzik, and R. P. Adams · 2015
Earlier work this paper cites.
Faster r-cnn: Towards real-time object detection with region proposal networks
S. Ren, K. He, R. Girshick, and J. Sun · 2015
Earlier work this paper cites.
Variational inference with normalizing flows
D. Rezende and S. Mohamed · 2015
Earlier work this paper cites.
Group equivariant convolutional networks
T. Cohen and M. Welling · 2016
Earlier work this paper cites.
Density estimation using real NVP
L. Dinh, J. Sohl-Dickstein, and S. Bengio · 2017
Cited alongside, same era.
Clevr: A diagnostic dataset for compositional language and elementary visual reasoning
J. Johnson, B. Hariharan, L. van der Maaten, L. Fei-Fei, C. Lawrence Zitnick, and R. Girshick · 2017
Cited alongside, same era.
Semi-supervised classification with graph convolutional networks
T. N. Kipf and M. Welling · 2017
Cited alongside, same era.
Attention is all you need
A. Vaswani, N. Shazeer, N. Parmar, J. Uszkoreit, L. Jones, A. N. Gomez, L. u. Kaiser, and I. Polosukhin · 2017
Cited alongside, same era.
Deep sets
M. Zaheer, S. Kottur, S. Ravanbakhsh, B. Poczos, R. R. Salakhutdinov, and A. J. Smola · 2017
Cited alongside, same era.
Neural ordinary differential equations
R. T. Q. Chen, Y. Rubanova, J. Bettencourt, and D. K. Duvenaud · 2018
Cited alongside, same era.
Equivariant hamiltonian flows, 2019
D. J. Rezende, S. Racanière, I. Higgins, and P. Toth · 2019
Later among the works it cites.
W. Zhan, L. Sun, D. Wang, H. Shi, A. Clausse, M. Naumann, J. Kümmerle, H. Königshof, C. Stiller, A. de La Fortelle, and M. Tomizuka · 2019
Later among the works it cites.
Deep set prediction networks
Y. Zhang, J. Hare, and A. Prugel-Bennett · 2019
Later among the works it cites.
End-to-end object detection with transformers
N. Carion, F. Massa, G. Synnaeve, N. Usunier, A. Kirillov, and S. Zagoruyko · 2020
Later among the works it cites.
How to train your neural ode: the world of jacobian and kinetic regularization
C. Finlay, J.-H. Jacobsen, L. Nurbekyan, and A. M. Oberman · 2020
Later among the works it cites.
Learning differential equations that are easy to solve
alphaXiv searches the wider corpus for related work and actual follow-ups.
alphaXiv is searching for related work…
Relation networks for object detection
H. Hu, J. Gu, Z. Zhang, J. Dai, and Y. Wei · 2018
Cited alongside, same era.
Neural relational inference for interacting systems
T. Kipf, E. Fetaya, K.-C. Wang, M. Welling, and R. Zemel · 2018
Cited alongside, same era.
Microscopic traffic simulation using sumo
P. A. Lopez, M. Behrisch, L. Bieker-Walz, J. Erdmann, Y.-P. Flötteröd, R. Hilbrich, L. Lücken, J. Rummel, P. Wagner, and E. Wiessner · 2018
Cited alongside, same era.
Monet: Unsupervised scene decomposition and representation
C. P. Burgess, L. Matthey, N. Watters, R. Kabra, I. Higgins, M. Botvinick, and A. Lerchner · 2019
Cited alongside, same era.
Neural networks with cheap differential operators
R. T. Q. Chen and D. K. Duvenaud · 2019
Cited alongside, same era.
Scalable reversible generative models with free-form continuous dynamics
W. Grathwohl, R. T. Q. Chen, J. Bettencourt, and D. Duvenaud · 2019
Cited alongside, same era.
J. Kelly, J. Bettencourt, M. J. Johnson, and D. Duvenaud · 2020
Later among the works it cites.
Equivariant flows: Exact likelihood generative learning for symmetric densities
J. Köhler, L. Klein, and F. Noe · 2020
Later among the works it cites.
Object-centric learning with slot attention
F. Locatello, D. Weissenborn, T. Unterthiner, A. Mahendran, G. Heigold, J. Uszkoreit, A. Dosovitskiy, and T. Kipf · 2020
Later among the works it cites.
Linformer: Self-attention with linear complexity, 2020
S. Wang, B. Z. Li, M. Khabsa, H. Fang, and H. Ma · 2020
Later among the works it cites.
Fspool: Learning set representations with featurewise sort pooling
Y. Zhang, J. Hare, and A. Prügel-Bennett · 2020
Later among the works it cites.
Scalable normalizing flows for permutation invariant densities
M. Biloš and S. Günnemann · 2021
Later among the works it cites.
A practical method for constructing equivariant multilayer perceptrons for arbitrary matrix groups
M. Finzi, M. Welling, and A. G. G. Wilson · 2021
Later among the works it cites.
E(n) equivariant normalizing flows
V. G. Satorras, E. Hoogeboom, F. B. Fuchs, I. Posner, and M. Welling · 2021
Later among the works it cites.
Scenegen: Learning to generate realistic traffic scenes
S. Tan, K. Wong, S. Wang, S. Manivasagam, M. Ren, and R. Urtasun · 2021
Later among the works it cites.