Vikas Garg

Vikas Garg

  • Phone+358 50 4639449
20092024

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  • 2024

    ClimODE: Climate and Weather Forecasting with Physics-informed Neural ODEs

    Verma, Y., Heinonen, M. & Garg, V., 2024, The Twelfth International Conference on Learning Representations. International Conference on Learning Representations (ICLR), p. 1-23 23 p.

    Research output: Chapter in Book/Report/Conference proceeding › Conference article in proceedings › Professional

    Open Access

  • Compositional Sculpting of Iterative Generative Processes

    Garipov, T., De Peuter, S., Yang, G., Garg, V., Kaski, S. & Jaakkola, T., 2024, Advances in Neural Information Processing Systems 36 (NeurIPS 2023). Curran Associates Inc., p. 12665-12702 (Advances in Neural Information Processing Systems; vol. 36).

    Research output: Chapter in Book/Report/Conference proceeding › Conference article in proceedings › Scientific › peer-review

    Open Access

  • Going Beyond Persistent Homology Using Persistent Homology

    Immonen, J., Souza, A. & Garg, V., 2024, Advances in Neural Information Processing Systems 36 (NeurIPS 2023). Curran Associates Inc., 24 p. (Advances in Neural Information Processing Systems; vol. 36).

    Research output: Chapter in Book/Report/Conference proceeding › Conference article in proceedings › Scientific › peer-review

    Open Access

  • Graph4GUI: Graph Neural Networks for Representing Graphical User Interfaces

    Jiang, Y., Zhou, C., Garg, V. & Oulasvirta, A., 11 May 2024, CHI '24: Proceedings of the 2024 CHI Conference on Human Factors in Computing Systems. Mueller, F. F., Kyburz, P., Williamson, J. R., Sas, C., Wilson, M. L., Toups Dugas, P. & Shklovski, I. (eds.). ACM, 18 p. 988

    Research output: Chapter in Book/Report/Conference proceeding › Conference article in proceedings › Scientific › peer-review

    Open Access
    File
    1 Citation (Scopus)
    37 Downloads (Pure)
  • 2023

    AbODE: Ab initio antibody design using conjoined ODEs

    Verma, Y., Heinonen, M. & Garg, V., Jul 2023, Proceedings of the 40th International Conference on Machine Learning. Krause, A., Brunskill, E., Cho, K., Engelhardt, B., Sabato, S. & Scarlett, J. (eds.). JMLR, p. 35037-35050 14 p. (Proceedings of Machine Learning Research; vol. 202).

    Research output: Chapter in Book/Report/Conference proceeding › Conference article in proceedings › Scientific › peer-review

    Open Access
    File
    3 Citations (Scopus)
    67 Downloads (Pure)
  • 2022

    Are GANs overkill for NLP?

    Alvarez-Melis, D., Garg, V. & Kalai, A. T., 2022, Advances in Neural Information Processing Systems 35 (NeurIPS 2022). Koyejo, S., Mohamed, S., Agarwal, A., Belgrave, D., Cho, K. & Oh, A. (eds.). Morgan Kaufmann Publishers, 13 p. (Advances in Neural Information Processing Systems; vol. 35).

    Research output: Chapter in Book/Report/Conference proceeding › Conference article in proceedings › Scientific › peer-review

    Open Access

  • Modular Flows: Differential Molecular Generation

    Verma, Y., Kaski, S., Heinonen, M. & Garg, V., 2022, Advances in Neural Information Processing Systems 35 (NeurIPS 2022). Koyejo, S., Mohamed, S., Agarwal, A., Belgrave, D., Cho, K. & Oh, A. (eds.). Morgan Kaufmann Publishers, 13 p. (Advances in Neural Information Processing Systems; vol. 35).

    Research output: Chapter in Book/Report/Conference proceeding › Conference article in proceedings › Scientific › peer-review

    Open Access

  • Provably expressive temporal graph networks

    Souza, A. H., Mesquita, D., Kaski, S. & Garg, V., 2022, Advances in Neural Information Processing Systems 35 (NeurIPS 2022). Koyejo, S., Mohamed, S., Agarwal, A., Belgrave, D., Cho, K. & Oh, A. (eds.). Morgan Kaufmann Publishers, 13 p. (Advances in Neural Information Processing Systems; vol. 35).

    Research output: Chapter in Book/Report/Conference proceeding › Conference article in proceedings › Scientific › peer-review

    Open Access

  • Symmetry-induced Disentanglement on Graphs

    Mercatali, G., Freitas, A. & Garg, V., 2022, Advances in Neural Information Processing Systems 35 (NeurIPS 2022). Koyejo, S., Mohamed, S., Agarwal, A., Belgrave, D., Cho, K. & Oh, A. (eds.). Morgan Kaufmann Publishers, 15 p. (Advances in Neural Information Processing Systems; vol. 35).

    Research output: Chapter in Book/Report/Conference proceeding › Conference article in proceedings › Scientific › peer-review

    Open Access
  • 2021

    Learn to Expect the Unexpected: Probably Approximately Correct Domain Generalization

    Garg, V., Kalai, A., Ligett, K. & Wu, S., 2021, Proceedings of The 24th International Conference on Artificial Intelligence and Statistics. JMLR, p. 3574-3582 (Proceedings of Machine Learning Research; vol. 130).

    Research output: Chapter in Book/Report/Conference proceeding › Conference article in proceedings › Scientific › peer-review

  • 2018

    Sparse multi-prototype classification

    Garg, V. K., Xiao, L. & Dekel, O., 2018, 34th Conference on Uncertainty in Artificial Intelligence 2018, UAI 2018. Silva, R., Globerson, A. & Globerson, A. (eds.). Association for Uncertainty in Artificial Intelligence, p. 704-714 11 p.

    Research output: Chapter in Book/Report/Conference proceeding › Conference article in proceedings › Scientific › peer-review

    1 Citation (Scopus)
  • 2016

    CRAFT: ClusteR-specific Assorted Feature selecTion

    Garg, V. K., Rudin, C. & Jaakkola, T., 2016, Proceedings of the 19th International Conference on Artificial Intelligence and Statistics. JMLR, p. 305-313 9 p. (Proceedings of Machine Learning Research ; vol. 51).

    Research output: Chapter in Book/Report/Conference proceeding › Conference article in proceedings › Scientific › peer-review

    4 Citations (Scopus)
  • 2015

    DEEP-CARVING: Discovering visual attributes by carving deep neural nets

    Shankar, S., Garg, V. K. & Cipolla, R., 14 Oct 2015, IEEE Conference on Computer Vision and Pattern Recognition, CVPR 2015. IEEE, p. 3403-3412 10 p. 7298962. (Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition; vol. 07-12-June-2015).

    Research output: Chapter in Book/Report/Conference proceeding › Conference article in proceedings › Scientific › peer-review

    38 Citations (Scopus)
  • 2014

    Multiresolution matrix factorization

    Kondor, R., Teneva, N. & Garg, V. K., 2014, 31st International Conference on Machine Learning, ICML 2014. International Machine Learning Society , p. 3591-3601 11 p.

    Research output: Chapter in Book/Report/Conference proceeding › Conference article in proceedings › Scientific › peer-review

    18 Citations (Scopus)
  • 2013

    Link label prediction in signed social networks

    Agrawal, P., Garg, V. K. & Narayanam, R., 2013, IJCAI 2013 - Proceedings of the 23rd International Joint Conference on Artificial Intelligence. p. 2591-2597 7 p. (IJCAI International Joint Conference on Artificial Intelligence).

    Research output: Chapter in Book/Report/Conference proceeding › Conference article in proceedings › Scientific › peer-review

    49 Citations (Scopus)

  • Multi-regularization for fuzzy co-clustering

    Garg, V. K., Chaudhari, S. & Narang, A., 2013, Neural Information Processing - 20th International Conference, ICONIP 2013, Proceedings. PART 2 ed. p. 67-75 9 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 8227 LNCS, no. PART 2).

    Research output: Chapter in Book/Report/Conference proceeding › Conference article in proceedings › Scientific › peer-review

    1 Citation (Scopus)

  • Online optimization with dynamic temporal uncertainty: Incorporating short term predictions for renewable integration in intelligent energy systems

    Garg, V. K., Jayram, T. S. & Narayanaswamy, B., 2013, Proceedings of the 27th AAAI Conference on Artificial Intelligence, AAAI 2013. p. 1291-1297 7 p.

    Research output: Chapter in Book/Report/Conference proceeding › Conference article in proceedings › Scientific › peer-review

    4 Citations (Scopus)
  • 2012

    Online optimization for the smart (micro) grid

    Narayanaswamy, B., Garg, V. K. & Jayram, T. S., 2012, Proceedings of the 3rd International Conference on Future Energy Systems: "Where Energy, Computing and Communication Meet", e-Energy 2012. 19

    Research output: Chapter in Book/Report/Conference proceeding › Conference article in proceedings › Scientific › peer-review

    44 Citations (Scopus)

  • Prediction based storage management in the smart grid

    Narayanaswamy, B., Garg, V. K. & Jayram, T. S., 2012, 2012 IEEE 3rd International Conference on Smart Grid Communications, SmartGridComm 2012. p. 498-503 6 p. 6486034

    Research output: Chapter in Book/Report/Conference proceeding › Conference article in proceedings › Scientific › peer-review

    4 Citations (Scopus)
  • 2011

    High throughput data redundancy removal algorithm with scalable performance

    Bhattacherjee, S., Narang, A. & Garg, V. K., 2011, HiPEAC'11 - Proceedings of the 6th International Conference on High Performance and Embedded Architectures and Compilers. p. 87-96 10 p.

    Research output: Chapter in Book/Report/Conference proceeding › Conference article in proceedings › Scientific › peer-review

    12 Citations (Scopus)
  • 2010

    EcoSupply: A machine learning framework for analyzing the impact of ecosystem on global supply chain dynamics

    Garg, V. K. & Viswanadham, N., 2010, Simulated Evolution and Learning - 8th International Conference, SEAL 2010, Proceedings. p. 677-686 10 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 6457 LNCS).

    Research output: Chapter in Book/Report/Conference proceeding › Conference article in proceedings › Scientific › peer-review

    1 Citation (Scopus)

  • EPIC: Efficient integration of partitional clustering algorithms for classification

    Garg, V. K. & Murty, M. N., 2010, Simulated Evolution and Learning - 8th International Conference, SEAL 2010, Proceedings. p. 706-710 5 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 6457 LNCS).

    Research output: Chapter in Book/Report/Conference proceeding › Conference article in proceedings › Scientific › peer-review

    1 Citation (Scopus)

  • Highly scalable parallel collaborative filtering algorithm

    Narang, A., Gupta, R., Joshi, A. & Garg, V. K., 2010, 17th International Conference on High Performance Computing, HiPC 2010. 5713175

    Research output: Chapter in Book/Report/Conference proceeding › Conference article in proceedings › Scientific › peer-review

    12 Citations (Scopus)

  • Real-time memory efficient data redundancy removal algorithm

    Garg, V. K., Narang, A. & Bhattacherjee, S., 2010, CIKM'10 - Proceedings of the 19th International Conference on Information and Knowledge Management and Co-located Workshops. p. 1259-1268 10 p.

    Research output: Chapter in Book/Report/Conference proceeding › Conference article in proceedings › Scientific › peer-review

    4 Citations (Scopus)

  • Toward optimal disk layout of genome scale suffix trees

    Garg, V. K., 2010, Simulated Evolution and Learning - 8th International Conference, SEAL 2010, Proceedings. p. 711-715 5 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 6457 LNCS).

    Research output: Chapter in Book/Report/Conference proceeding › Conference article in proceedings › Scientific › peer-review

  • 2009

    RACK: RApid clustering using K-means algorithm

    Garg, V. K. & Murty, M. N., 2009, 2009 IEEE International Conference on Automation Science and Engineering, CASE 2009. p. 621-626 6 p. 5234127

    Research output: Chapter in Book/Report/Conference proceeding › Conference article in proceedings › Scientific › peer-review

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