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Erik Nijkamp
Erik Nijkamp
Salesforce Research
Potvrđena adresa e-pošte na ucla.edu - Početna stranica
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Citirano
Citirano
Godina
Large-scale matrix factorization with distributed stochastic gradient descent
R Gemulla, E Nijkamp, PJ Haas, Y Sismanis
Proceedings of the 17th ACM SIGKDD international conference on Knowledge …, 2011
8652011
Codegen: An open large language model for code with multi-turn program synthesis
E Nijkamp, B Pang, H Hayashi, L Tu, H Wang, Y Zhou, S Savarese, ...
arXiv preprint arXiv:2203.13474, 2022
6432022
Deep learning with tensorflow: A review
B Pang, E Nijkamp, YN Wu
Journal of Educational and Behavioral Statistics 45 (2), 227-248, 2020
3682020
Learning non-convergent non-persistent short-run mcmc toward energy-based model
E Nijkamp, M Hill, SC Zhu, YN Wu
Advances in Neural Information Processing Systems 32, 2019
2352019
On the anatomy of mcmc-based maximum likelihood learning of energy-based models
E Nijkamp, M Hill, T Han, SC Zhu, YN Wu
Proceedings of the AAAI Conference on Artificial Intelligence 34 (04), 5272-5280, 2020
1602020
Progen2: exploring the boundaries of protein language models
E Nijkamp, JA Ruffolo, EN Weinstein, N Naik, A Madani
Cell systems 14 (11), 968-978. e3, 2023
1592023
A conversational paradigm for program synthesis
E Nijkamp, B Pang, H Hayashi, L Tu, H Wang, Y Zhou, S Savarese, ...
arXiv preprint arXiv:2203.13474 30, 2022
1302022
Learning latent space energy-based prior model
B Pang, T Han, E Nijkamp, SC Zhu, YN Wu
Advances in Neural Information Processing Systems 33, 21994-22008, 2020
1292020
Flow contrastive estimation of energy-based models
R Gao, E Nijkamp, DP Kingma, Z Xu, AM Dai, YN Wu
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2020
1102020
Codegen2: Lessons for training llms on programming and natural languages
E Nijkamp, H Hayashi, C Xiong, S Savarese, Y Zhou
arXiv preprint arXiv:2305.02309, 2023
1042023
Towards holistic and automatic evaluation of open-domain dialogue generation
B Pang, E Nijkamp, W Han, L Zhou, Y Liu, K Tu
Association for Computational Linguistics (ACL), 2020
792020
MapReduce and PACT-comparing data parallel programming models
A Alexandrov, S Ewen, M Heimel, F Hueske, O Kao, V Markl, E Nijkamp, ...
Gesellschaft für Informatik eV, 2011
782011
Massively parallel data analysis with pacts on nephele
A Alexandrov, M Heimel, V Markl, D Battré, F Hueske, E Nijkamp, S Ewen, ...
Proceedings of the VLDB Endowment 3 (1-2), 1625-1628, 2010
732010
Divergence triangle for joint training of generator model, energy-based model, and inferential model
T Han, E Nijkamp, X Fang, M Hill, SC Zhu, YN Wu
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2019
682019
Scaling dynamic authority-based search using materialized subgraphs
A Balmin, H Hwang, E Nijkamp, B Reinwald
US Patent 9,171,077, 2015
622015
Learning multi-layer latent variable model via variational optimization of short run mcmc for approximate inference
E Nijkamp, B Pang, T Han, L Zhou, SC Zhu, YN Wu
Computer Vision–ECCV 2020: 16th European Conference, Glasgow, UK, August 23 …, 2020
472020
Joint training of variational auto-encoder and latent energy-based model
T Han, E Nijkamp, L Zhou, B Pang, SC Zhu, YN Wu
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2020
462020
Long document summarization with top-down and bottom-up inference
B Pang, E Nijkamp, W Kryściński, S Savarese, Y Zhou, C Xiong
arXiv preprint arXiv:2203.07586, 2022
372022
Scaling dynamic authority-based search using materialized subgraphs
A Balmin, H Hwang, E Nijkamp, B Reinwald
US Patent 10,521,435, 2019
372019
Binrank: Scaling dynamic authority-based search using materialized subgraphs
H Hwang, A Balmin, B Reinwald, E Nijkamp
IEEE Transactions on Knowledge and Data Engineering 22 (8), 1176-1190, 2010
262010
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