Research Output

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Conference article
2020

Evaluating pretrained transformer models for citation recommendation

Nogueira, R., Jiang, Z., Cho, K. & Lin, J., 2020, In : CEUR Workshop Proceedings. 2591, p. 89-100 12 p.

Research output: Contribution to journalConference article

2018

Algorithms and theory for multiple-source adaptation

Hoffman, J., Mohri, M. & Zhang, N., 2018, In : Advances in Neural Information Processing Systems. 2018-December, p. 8246-8256 11 p.

Research output: Contribution to journalConference article

Efficient gradient computation for structured output learning with rational and tropical losses

Cortes, C., Kuznetsov, V., Mohri, M., Storcheus, D. & Yang, S., 2018, In : Advances in Neural Information Processing Systems. 2018-December, p. 6810-6821 12 p.

Research output: Contribution to journalConference article

GloMO: Unsupervised learning of transferable relational graphs

Yang, Z., Zhao, J., Dhingra, B., He, K., Cohen, W. W., Salakhutdinov, R. & LeCun, Y., 2018, In : Advances in Neural Information Processing Systems. 2018-December, p. 8950-8961 12 p.

Research output: Contribution to journalConference article

Gpytorch: Blackbox matrix-matrix Gaussian process inference with GPU acceleration

Gardner, J. R., Pleiss, G., Bindel, D., Weinberger, K. Q. & Wilson, A. G., 2018, In : Advances in Neural Information Processing Systems. 2018-December, p. 7576-7586 11 p.

Research output: Contribution to journalConference article

Loss functions for multiset prediction

Welleck, S., Yao, Z., Gai, Y., Mao, J., Zhang, Z. & Cho, K., 2018, In : Advances in Neural Information Processing Systems. 2018-December, p. 5783-5792 10 p.

Research output: Contribution to journalConference article

Loss surfaces, mode connectivity, and fast ensembling of DNNs

Garipov, T., Izmailov, P., Podoprikhin, D., Vetrov, D. & Wilson, A. G., 2018, In : Advances in Neural Information Processing Systems. 2018-December, p. 8789-8798 10 p.

Research output: Contribution to journalConference article

Policy regret in repeated games

Arora, R., Dinitz, M., Marinov, T. V. & Mohri, M., 2018, In : Advances in Neural Information Processing Systems. 2018-December, p. 6732-6741 10 p.

Research output: Contribution to journalConference article

PommerMan: A multi-agent playground

Resnick, C., Eldridge, W., Ha, D., Britz, D., Foerster, J., Togelius, J., Cho, K. & Bruna, J., 2018, In : CEUR Workshop Proceedings. 2282

Research output: Contribution to journalConference article

Scaling Gaussian process regression with derivatives

Eriksson, D., Lee, E. H., Dong, K., Bindel, D. & Wilson, A. G., 2018, In : Advances in Neural Information Processing Systems. 2018-December, p. 6867-6877 11 p.

Research output: Contribution to journalConference article

Scientific data analysis using data-intensive scalable computing: The SciDISC project

Valduriez, P., Mattoso, M., Akbarinia, R., Borges, H., Camata, J., Coutinho, A., Gaspar, D., Lemus, N., Liu, J., Lustosa, H., Masseglia, F., Silva, F. N. D., Silva, V., Souza, R., Ocaña, K., Ogasawara, E., Oliveira, D. D., Pacitti, E., Porto, F. & Shasha, D., 2018, In : CEUR Workshop Proceedings. 2170, p. 1-8 8 p.

Research output: Contribution to journalConference article

Urban traffic congestion mapping using bus mobility data

Iyer, S. R., Boxer, K. & Subramanian, L., 2018, In : CEUR Workshop Proceedings. 2227, p. 7-13 7 p.

Research output: Contribution to journalConference article

2017

Autocuts: Simultaneous distortion and cut optimization for UV mapping

Poranne, R., Tarini, M., Huber, S., Panozzo, D. & Sorkine-Hornung, O., Nov 20 2017, In : ACM Transactions on Graphics. 36, 6, a215.

Research output: Contribution to journalConference article

Bayesian GAN

Saatchi, Y. & Wilson, A. G., 2017, In : Advances in Neural Information Processing Systems. 2017-December, p. 3623-3632 10 p.

Research output: Contribution to journalConference article

Bayesian optimization with gradients

Wu, J., Poloczek, M., Wilson, A. G. & Frazier, P. I., 2017, In : Advances in Neural Information Processing Systems. 2017-December, p. 5268-5279 12 p.

Research output: Contribution to journalConference article

Discriminative state-space models

Kuznetsov, V. & Mohri, M., 2017, In : Advances in Neural Information Processing Systems. 2017-December, p. 5672-5680 9 p.

Research output: Contribution to journalConference article

Efficient Simulation of Financial Stress Testing Scenarios with Suppes-Bayes Causal Networks

Gao, G., Mishra, B. & Ramazzotti, D., 2017, In : Procedia Computer Science. 108, p. 272-284 13 p.

Research output: Contribution to journalConference article

Field-aligned online surface reconstruction

Tarini, M., Jakob, W., Kazhdan, M., Gumhold, S. & Panozzo, D., 2017, In : ACM Transactions on Graphics. 36, 4, 77.

Research output: Contribution to journalConference article

Finding All Potential Run-Time Errors and Data Races in Automotive Software

Kaestner, D., Miné, A., Schmidt, A., Hille, H., Mauborgne, L., Wilhelm, S., Rival, X., Feret, J., Cousot, P. & Ferdinand, C., Mar 28 2017, In : SAE Technical Papers. 2017-March, March

Research output: Contribution to journalConference article

Hierarchical implicit models and likelihood-free variational inference

Tran, D., Ranganath, R. & Blei, D. M., 2017, In : Advances in Neural Information Processing Systems. 2017-December, p. 5524-5534 11 p.

Research output: Contribution to journalConference article

Online learning with transductive regret

Mohri, M. & Yang, S., 2017, In : Advances in Neural Information Processing Systems. 2017-December, p. 5215-5225 11 p.

Research output: Contribution to journalConference article

Parameter-free online learning via model selection

Foster, D. J., Kale, S., Mohri, M. & Sridharan, K., 2017, In : Advances in Neural Information Processing Systems. 2017-December, p. 6021-6031 11 p.

Research output: Contribution to journalConference article

Position-based tensegrity design

Pietroni, N., Tarini, M., Vaxman, A., Panozzo, D. & Cignoni, P., Nov 20 2017, In : ACM Transactions on Graphics. 36, 6, a172.

Research output: Contribution to journalConference article

Robust hex-dominant mesh generation using field-guided polyhedral agglomeration

Gao, X., Jakob, W., Tarini, M. & Panozzo, D., 2017, In : ACM Transactions on Graphics. 36, 4, 114.

Research output: Contribution to journalConference article

Robust structure simplification for hex Re-meshing

Gao, X., Panozzo, D., Wang, W., Deng, Z. & Chen, G., Nov 20 2017, In : ACM Transactions on Graphics. 36, 6, a185.

Research output: Contribution to journalConference article

Saliency-based sequential image attention with multiset prediction

Welleck, S., Mao, J., Cho, K. & Zhang, Z., 2017, In : Advances in Neural Information Processing Systems. 2017-December, p. 5174-5184 11 p.

Research output: Contribution to journalConference article

Scalable lévy process priors for spectral kernel learning

Jang, P. A., Loeb, A. E., Davidow, M. B. & Wilson, A. G., 2017, In : Advances in Neural Information Processing Systems. 2017-December, p. 3941-3950 10 p.

Research output: Contribution to journalConference article

Scalable log determinants for Gaussian process kernel learning

Dong, K., Eriksson, D., Nickisch, H., Bindel, D. & Wilson, A. G., 2017, In : Advances in Neural Information Processing Systems. 2017-December, p. 6328-6338 11 p.

Research output: Contribution to journalConference article

Similarity maps and field-guided T-Splines: A perfect couple

Campen, M. & Zorin, D., 2017, In : ACM Transactions on Graphics. 36, 4, 91.

Research output: Contribution to journalConference article

Simplicial complex augmentation framework for bijective maps

Jiang, Z., Schaefer, S. & Panozzo, D., Nov 20 2017, In : ACM Transactions on Graphics. 36, 6, a186.

Research output: Contribution to journalConference article

System programming in Rust: Beyond safety

Balasubramanian, A., Baranowski, M. S., Burtsev, A., Panda, A., Rakamarić, Z. & Ryzhyk, L., Sep 11 2017, In : Operating Systems Review (ACM). 51, 1, p. 94-99 6 p.

Research output: Contribution to journalConference article

Variational inference via χ upper bound minimization

Dieng, A. B., Tran, D., Ranganath, R., Paisley, J. & Blei, D. M., 2017, In : Advances in Neural Information Processing Systems. 2017-December, p. 2733-2742 10 p.

Research output: Contribution to journalConference article

Worst-case stress relief for microstructures

Panetta, J., Rahimian, A. & Zorin, D., 2017, In : ACM Transactions on Graphics. 36, 4, 122.

Research output: Contribution to journalConference article

2016

A credit assignment compiler for joint prediction

Chang, K. W., He, H., Daumé, H., Langford, J. & Ross, S., 2016, In : Advances in Neural Information Processing Systems. p. 1713-1721 9 p.

Research output: Contribution to journalConference article

Bijective maps from simplicial foliations

Campen, M., Silva, C. T. & Zorin, D., Jul 11 2016, In : ACM Transactions on Graphics. 35, 4, a74.

Research output: Contribution to journalConference article

Boosting with abstention

Cortes, C., De Salvo, G. & Mohri, M., 2016, In : Advances in Neural Information Processing Systems. p. 1668-1676 9 p.

Research output: Contribution to journalConference article

Computational thermoforming

Schüller, C., Panozzo, D., Grundhöfer, A., Zimmer, H., Sorkine, E. & Sorkine-Hornung, O., Jul 11 2016, In : ACM Transactions on Graphics. 35, 4, a43.

Research output: Contribution to journalConference article

Disentangling factors of variation in deep representations using adversarial training

Mathieu, M., Zhao, J., Sprechmann, P., Ramesh, A. & Le Cun, Y., 2016, In : Advances in Neural Information Processing Systems. p. 5047-5055 9 p.

Research output: Contribution to journalConference article

End-to-end goal-driven Web navigation

Nogueira, R. & Cho, K., 2016, In : Advances in Neural Information Processing Systems. p. 1911-1919 9 p.

Research output: Contribution to journalConference article

Iterative refinement of the approximate posterior for directed belief networks

Hjelm, R. D., Cho, K., Chung, J., Salakhutdinov, R., Calhoun, V. & Jojic, N., 2016, In : Advances in Neural Information Processing Systems. p. 4698-4706 9 p.

Research output: Contribution to journalConference article

Learning multiagent communication with backpropagation

Sukhbaatar, S., Szlam, A. & Fergus, R., 2016, In : Advances in Neural Information Processing Systems. p. 2252-2260 9 p.

Research output: Contribution to journalConference article

Learning N-gram language models from uncertain data

Kuznetsov, V., Liao, H., Mohri, M., Riley, M. & Roark, B., 2016, In : Proceedings of the Annual Conference of the International Speech Communication Association, INTERSPEECH. 08-12-September-2016, p. 2323-2327 5 p.

Research output: Contribution to journalConference article

MEsh arrangements for solid geometry

Zhou, Q., Grinspun, E., Zorin, D. & Jacobson, A., Jul 11 2016, In : ACM Transactions on Graphics. 35, 4, a39.

Research output: Contribution to journalConference article

Operator variational inference

Ranganath, R., Altosaar, J., Tran, D. & Blei, D. M., 2016, In : Advances in Neural Information Processing Systems. p. 496-504 9 p.

Research output: Contribution to journalConference article

Optimistic bandit convex optimization

Mohri, M. & Yang, S., 2016, In : Advances in Neural Information Processing Systems. p. 2297-2305 9 p.

Research output: Contribution to journalConference article

Rig animation with a tangible and modular input device

Glauser, O., Ma, W. C., Panozzo, D., Jacobson, A., Hilliges, O. & Sorkine-Hornung, O., Jul 11 2016, In : ACM Transactions on Graphics. 35, 4, a144.

Research output: Contribution to journalConference article

Stochastic variational deep kernel learning

Wilson, A. G., Hu, Z., Salakhutdinov, R. & Xing, E. P., 2016, In : Advances in Neural Information Processing Systems. p. 2594-2602 9 p.

Research output: Contribution to journalConference article

Text classification for automatic detection of e-cigarette use and use for smoking cessation from twitter: A feasibility pilot

Aphinyanaphongs, Y., Lulejian, A., Brown, D. P., Bonneau, R. & Krebs, P., 2016, In : Pacific Symposium on Biocomputing. p. 480-491 12 p.

Research output: Contribution to journalConference article

Time series prediction and online learning

Kuznetsov, V. & Mohri, M., Jun 6 2016, In : Journal of Machine Learning Research. 49, June, p. 1190-1213 24 p.

Research output: Contribution to journalConference article

2015

A la carte | learning fast kernels

Yang, Z., Smola, A. J., Song, L. & Wilson, A. G., 2015, In : Journal of Machine Learning Research. 38, p. 1098-1106 9 p.

Research output: Contribution to journalConference article