Courant Institute

Research Output

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2019

Accelerating eulerian fluid simulation with convolutional networks

Tompson, J., Schlachter, K., Sprechmann, P. & Perlin, K., Jan 1 2019.

Research output: Contribution to conferencePaper

Dialogwae: Multimodal response generation with conditional Wasserstein auto-encoder

Gu, X., Cho, K., Ha, J. W. & Kim, S., Jan 1 2019.

Research output: Contribution to conferencePaper

Diffusion scattering transforms on graphs

Gama, F., Bruna Estrach, J. & Ribeiro, A., Jan 1 2019.

Research output: Contribution to conferencePaper

Energy-based generative adversarial networks

Zhao, J., Mathieu, M. & LeCun, Y., Jan 1 2019.

Research output: Contribution to conferencePaper

Entropy-SGD: Biasing gradient descent into wide valleys. International Conference on Learning Representations (ICLR) 2017

Chaudhari, P., Choromanska, A., Soatto, S., LeCun, Y., Baldassi, C., Borgs, C., Chayes, J., Sagun, L. & Zecchina, R., Jan 1 2019.

Research output: Contribution to conferencePaper

Hierarchical RL using an ensemble of proprioceptive periodic policies

Marino, K., Gupta, A., Szlam, A. & Fergus, R., Jan 1 2019.

Research output: Contribution to conferencePaper

Model-predictive policy learning with uncertainty regularization for driving in dense traffic

Henaff, M., LeCun, Y. & Canziani, A., Jan 1 2019.

Research output: Contribution to conferencePaper

Practical multi-fidelity Bayesian optimization for hyperparameter tuning

Wu, J., Toscano-Palmerin, S., Frazier, P. I. & Wilson, A. G., Jan 1 2019.

Research output: Contribution to conferencePaper

Practical multi-fidelity bayesian optimization for hyperparameter tuning supplementary material

Wu, J., Toscano-Palmerin, S., Frazier, P. I. & Wilson, A. G., Jan 1 2019.

Research output: Contribution to conferencePaper

Reproducibility in machine learning for health

McDermott, M. B. A., Wang, S., Marinsek, N., Ranganath, R., Ghassemi, M. & Foschini, L., Jan 1 2019.

Research output: Contribution to conferencePaper

Revisiting auxiliary latent variables in generative models

Lawson, D., Tucker, G., Dai, B. & Ranganath, R., Jan 1 2019.

Research output: Contribution to conferencePaper

Subspace inference for Bayesian deep learning

Izmailov, P., Maddox, W. J., Kirichenko, P., Garipov, T., Vetrov, D. & Wilson, A. G., Jan 1 2019.

Research output: Contribution to conferencePaper

Supervised community detection with line graph neural networks

Chen, Z., Bruna Estrach, J. & Li, L., Jan 1 2019.

Research output: Contribution to conferencePaper

The Andoni–Krauthgamer–Razenshteyn characterization of sketchable norms fails for sketchable metrics

Khot, S. & Naor, A., Jan 1 2019, p. 1814-1824. 11 p.

Research output: Contribution to conferencePaper

There are many consistent explanations of unlabeled data: Why you should average

Athiwaratkun, B., Finzi, M., Izmailov, P. & Wilson, A. G., Jan 1 2019.

Research output: Contribution to conferencePaper

The role of over-parametrization in generalization of neural networks

Neyshabur, B., Li, Z., Bhojanapalli, S., LeCun, Y. & Srebro, N., Jan 1 2019.

Research output: Contribution to conferencePaper

Topology and geometry of half-rectified network optimization

Daniel Freeman, C. & Bruna Estrach, J., Jan 1 2019.

Research output: Contribution to conferencePaper

Tracking the world state with recurrent entity networks

Henaff, M., Weston, J., Szlam, A., Bordes, A. & LeCun, Y., Jan 1 2019.

Research output: Contribution to conferencePaper

Understanding trainable sparse coding via matrix factorization

Moreau, T. & Bruna Estrach, J., Jan 1 2019.

Research output: Contribution to conferencePaper

2018

Boundary-seeking generative adversarial networks

Hjelm, R. D., Jacob, A. P., Che, T., Trischler, A., Cho, K. & Bengio, Y., Jan 1 2018.

Research output: Contribution to conferencePaper

Competing with automata-based expert sequences

Mohri, M. & Yang, S., Jan 1 2018, p. 1732-1740. 9 p.

Research output: Contribution to conferencePaper

Divide and conquer networks

Nowak, A., Folqué, D. & Bruna Estrach, J., Jan 1 2018.

Research output: Contribution to conferencePaper

Emergent communication in a multi-modal, multi-step referential game

Evtimova, K., Drozdov, A., Kiela, D. & Cho, K., Jan 1 2018.

Research output: Contribution to conferencePaper

Emergent translation in multi-agent communication

Lee, J., Cho, K., Weston, J. & Kiela, D., Jan 1 2018.

Research output: Contribution to conferencePaper

Few-shot learning with graph neural networks

Garcia, V. & Bruna Estrach, J., Jan 1 2018.

Research output: Contribution to conferencePaper

Gaussian process subset scanning for anomalous pattern detection in non-iid data

Herlands, W., McFowland, E., Wilson, A. G. & Neill, D. B., Jan 1 2018, p. 425-434. 10 p.

Research output: Contribution to conferencePaper

Hierarchical density order embeddings

Athiwaratkun, B. & Wilson, A. G., Jan 1 2018.

Research output: Contribution to conferencePaper

Intrinsic motivation and automatic curricula via asymmetric self-play

Sukhbaatar, S., Lin, Z., Kostrikov, I., Synnaeve, G., Szlam, A. & Fergus, R., Jan 1 2018.

Research output: Contribution to conferencePaper

MONARCH: Gaining command on geo-distributed graph analytics

Iyer, A. P., Panda, A., Chowdhury, M., Akella, A., Shenker, S. & Stoica, I., Jan 1 2018.

Research output: Contribution to conferencePaper

Product kernel interpolation for scalable gaussian processes

Gardner, J. R., Pleiss, G., Wu, R., Weinberger, K. Q. & Wilson, A. G., Jan 1 2018, p. 1407-1416. 10 p.

Research output: Contribution to conferencePaper

Proximity variational inference

Altosaar, J., Ranganath, R. & Blei, D. M., Jan 1 2018, p. 1961-1969. 9 p.

Research output: Contribution to conferencePaper

Stable and effective trainable greedy decoding for sequence to sequence learning

Chen, Y., Cho, K., Bowman, S. & Li, V. O. K., Jan 1 2018.

Research output: Contribution to conferencePaper

Unsupervised neural machine translation

Artetxe, M., Labaka, G., Agirre, E. & Cho, K., Jan 1 2018.

Research output: Contribution to conferencePaper

Variational sequential Monte Carlo

Naesseth, C. A., Linderman, S. W., Ranganath, R. & Blei, D. M., Jan 1 2018, p. 968-977. 10 p.

Research output: Contribution to conferencePaper

2017

NON-TWO-PHASE LOCKING PROTOCOLS WITH SHARED AND EXCLUSIVE LOCKS.

Kedem, Z. & Silberschatz, A., Jan 1 2017, p. 309-317. 9 p.

Research output: Contribution to conferencePaper

ON FINDING SEVERAL SHORTEST PATHS IN CERTAIN GRAPHS.

Kedem, Z. M. & Fuchs, H., Jan 1 2017, p. 677-686. 10 p.

Research output: Contribution to conferencePaper

REGULATION AND CONTROL IN PHYSIOLOGICAL SYSTEMS.

Levy, M. N., Chess, G. F., Calaresu, F. R., Yellin, E. L., Laniado, S., Peskin, C., Frater, R. W. M., Erickson, H. H. & Stone, H. L., Jan 1 2017.

Research output: Contribution to conferencePaper

SIMPLIFICATION OF RETRIEVAL REQUESTS GENERATION BY QUESTION-ANSWERING SYSTEMS.

Grishman, R., Jan 1 2017, p. 400-406. 7 p.

Research output: Contribution to conferencePaper

2016

Accelerating online convex optimization via adaptive prediction

Mohri, M. & Yang, S., Jan 1 2016, p. 848-856. 9 p.

Research output: Contribution to conferencePaper

Bayesian nonparametric kernel-learning

Oliva, J. B., Dubey, A., Wilson, A. G., Póczos, B., Schneider, J. & Xing, E. P., Jan 1 2016, p. 1078-1086. 9 p.

Research output: Contribution to conferencePaper

Deep kernel learning

Wilson, A. G., Hu, Z., Salakhutdinov, R. & Xing, E. P., Jan 1 2016, p. 370-378. 9 p.

Research output: Contribution to conferencePaper

Deep multi-scale video prediction beyond mean square error

Mathieu, M., Couprie, C. & LeCun, Y., Jan 1 2016.

Research output: Contribution to conferencePaper

Oracle performance for visual captioning

Yao, L., Ballas, N., Cho, K., Smith, J. R. & Bengio, Y., Jan 1 2016, p. 141.1-141.13.

Research output: Contribution to conferencePaper

Scalable Gaussian processes for characterizing multidimensional change surfaces

Herlands, W., Wilson, A., Nickisch, H., Flaxman, S., Neill, D., van Panhuis, W. & Xing, E., Jan 1 2016, p. 1013-1021. 9 p.

Research output: Contribution to conferencePaper

Super-resolution with deep convolutional sufficient statistics

Bruna Estrach, J., Sprechmann, P. & LeCun, Y., Jan 1 2016.

Research output: Contribution to conferencePaper

The variational Gaussian process

Tran, D., Ranganath, R. & Blei, D. M., Jan 1 2016.

Research output: Contribution to conferencePaper

Variational tempering

Mandt, S., McInerney, J., Abrol, F., Ranganath, R. & Blei, D., Jan 1 2016, p. 704-712. 9 p.

Research output: Contribution to conferencePaper

2015

Embedding word similarity with neural machine translation

Hill, F., Cho, K., Jean, S., Devin, C. & Bengio, Y., Jan 1 2015.

Research output: Contribution to conferencePaper

Explorations on high dimensional landscapes

Sagun, L., Ugur Güney, V., Ben Arous, G. & LeCun, Y., Jan 1 2015.

Research output: Contribution to conferencePaper