Raghavendra Selvan

Raghavendra Selvan

Tenure Track Assistant Professor

ORCID: 0000-0003-4302-0207

Publication year:
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1 - 10 out of 52Page size: 10
  1. 2024
  2. Published

    Equity through Access: A Case for Small-scale Deep Learning

    Selvan, Raghav, Pepin, Bob, Igel, Christian, Samuel, G. & Dam, Erik Bjørnager, 19 Mar 2024, arxiv.org, 13 p.

    Research output: Working paper › Preprint › Research

  3. Published

    Activation Compression of Graph Neural Networks Using Block-Wise Quantization with Improved Variance Minimization

    Eliassen, Sebastian Hammer & Selvan, Raghav, 2024, 2024 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2024 - Proceedings. IEEE, p. 7430-7434 5 p.

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

  4. Published

    CHILI: Chemically-Informed Large-scale Inorganic Nanomaterials Dataset for Advancing Graph Machine Learning

    Friis-Jensen, Ulrik, Johansen, Frederik Lizak, Anker, Andy Sode, Dam, Erik Bjørnager, Jensen, K. M. Ø. & Selvan, Raghav, 2024, arxiv.org, 16 p.

    Research output: Working paper › Preprint › Research

  5. Published

    EC-NAS: Energy Consumption Aware Tabular Benchmarks for Neural Architecture Search

    Bakhtiarifard, Pedram, Igel, Christian & Selvan, Raghav, 2024, 2024 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2024 - Proceedings. IEEE, p. 5660-5664 5 p.

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

  6. Published

    High-throughput classification of S. cerevisiae tetrads using deep learning

    Szücs, Istvan Balint, Selvan, Raghav & Lisby, Michael, 2024, In: Yeast. 41, p. 423-436 14 p.

    Research output: Contribution to journal › Journal article › Research › peer-review

  7. Published

    Operating Critical Machine Learning Models in Resource Constrained Regimes

    Selvan, Raghav, Schön, Julian Elisha & Dam, Erik Bjørnager, 2024, Medical Image Computing and Computer Assisted Intervention – MICCAI 2023 Workshops: MTSAIL 2023, LEAF 2023, AI4Treat 2023, MMMI 2023, REMIA 2023, Held in Conjunction with MICCAI 2023, Vancouver, BC, Canada, October 8–12, 2023, Proceedings. Springer, p. 325-335 Chapter 29. (Lecture Notes in Computer Science, Vol. 14394).

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

  8. Published

    Spinal inhibitory neurons degenerate before motor neurons and excitatory neurons in a mouse model of ALS

    Montañana-Rosell, Roser, Selvan, Raghav, Hernández-Varas, P., Kaminski, J. M., Sidhu, Simrandeep Kaur, Ahlmark, D. B., Kiehn, Ole & Allodi, Ilary, 2024, In: Science Advances. 10, 22, 18 p., eadk3229.

    Research output: Contribution to journal › Journal article › Research › peer-review

  9. Published

    Stabilization of V1 interneuron-motor neuron connectivity ameliorates motor phenotype in a mouse model of ALS

    Mora, S., Stuckert, A., von Huth Friis, R., Pietersz, K., Noes-Holt, Gith, Montañana-Rosell, Roser, Wang, H., Sørensen, Andreas Toft, Selvan, Raghav, Verhaagen, J. & Allodi, Ilary, 2024, In: Nature Communications. 15, 1, p. 1-16 4867.

    Research output: Contribution to journal › Journal article › Research › peer-review

  10. 2023
  11. Published

    Explicit Temporal Embedding in Deep Generative Latent Models for Longitudinal Medical Image Synthesis

    Schön, Julian Elisha, Selvan, Raghav, Nygård, L., Vogelius, Ivan R. & Petersen, Jens, 13 Jan 2023, arxiv.org.

    Research output: Working paper › Preprint › Research

  12. Published

    DeepStruc: towards structure solution from pair distribution function data using deep generative models

    Kjær, E. T. S., Anker, Andy Sode, Weng, M. N., Billinge, S. J. L., Selvan, Raghav & Jensen, Kirsten Marie Ørnsbjerg, 2023, In: Digital Discovery. 2, 1, p. 69-80 12 p.

    Research output: Contribution to journal › Journal article › Research › peer-review

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