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I’m a Research Engineer at Borealis AI Montreal working on foundation models and LLMs for finance. I have 6+ years of full-time work experience in applied AI.
Previously, I was a Research Engineer at Samsung AI Center Toronto working with Dr. Alex Levinshtein and Prof. Allan Jepson on computer vision, specifically, burst photography, neural implicit models, image enhancement and synthesis.
Earlier, I was a Software Engineer developing behavior-based malware classifiers using machine learning for Norton AntiVirus at Symantec Corporation in Pune, India.
I’m currently interested in fundamental research on the generalization, calibration and robustness of deep neural networks, and applied AI for healthcare and medicine.
To discuss collaborations and opportunities please reach out to me by email -
: vin [dot] bhaskara [at] gmail [dot] com
Education
| M.Sc. Applied Computing (Computer Vision) |   | |
| Department of Computer Science, University of Toronto | 2018 - 2020 | |
| Grade: A+ [4.0/4.0], Vector Scholar in AI | ||
| Academic Supervisor: Prof. Roger Grosse | ||
| B.Tech. Engineering Physics |   | |
| Indian Institute of Technology Guwahati (IIT Guwahati) | 2012 - 2016 | |
| Institute Silver Medalist, IQC Research Visitor |
Patents
| May 2022 | Unsupervised Super-Resolution Training Data Construction Haicheng Wang, Xinyu Sun, Vin Bhaskara, Stavros Tsogkas, Allan Jepson, Alex Levinshtein US Patent Application 17/512,312 Patent Cite |  |
Publications
Machine Learning
| Jan 2022 | GraN-GAN: Piecewise Gradient Normalization for Generative Adversarial Networks Vin Bhaskara*, Tristan Aumentado-Armstrong*, Allan Jepson, Alex Levinshtein Winter Conference on Applications of Computer Vision (WACV 2022) Paper Arxiv Poster Slides Video Cite |  | ||
| Jan 2021 | Efficient Super-Resolution Using MobileNetV3 Haicheng Wang*, Vin Bhaskara*, Alex Levinshtein*, Stavros Tsogkas, Allan Jepson European Conference on Computer Vision (ECCV 2020) Workshops Paper PDF Cite |  |
Quantum Information
| May 2022 | Generalized Entanglement Measure for Continuous-Variable Systems Nibedita Swain*, Vin Bhaskara*, Prasanta K. Panigrahi Physical Review A 105, 052441 Paper PDF Arxiv Cite |  | ||
| Mar 2017 | Generalized Entanglement Measure for Multiparticle Pure States in Arbitrary Dimensions Vin Bhaskara, Prasanta K. Panigrahi Quantum Information Processing, Volume 16, Article number: 118 Paper PDF Arxiv Cite |  | ||
| Mar 2017 | Implementing Bragg Mirrors in a Hollow-Core Photonic-Crystal Fiber Jeremy Flannery, Golam Bappi, Vin Bhaskara, Omar Alshehri, Michal Bajcsy Optical Materials Express, Volume 7, Issue 4, pp. 1198-1210 Paper Cite |  | ||
| Sep 2016 | Mesoscale Cavities in Hollow-Core Waveguides for Quantum Optics with Atomic Ensembles C.M. Haapamaki, J. Flannery, G. Bappi, R. Al Maruf, Vin Bhaskara, O. Alshehri, T. Yoon, M. Bajcsy Nanophotonics, Volume 5, No. 3, pp. 392-408 Paper Cite |  | ||
(* denotes equal contribution)
Preprints
| Apr 2020 | Part-based Auxiliary Objectives with No Extra Labels for Robust Single-Shot Object Detection Vin Bhaskara, Stavros Tsogkas, Kosta Derpanis, Alex Levinshtein DOI: 10.13140/RG.2.2.10079.47521 Link PDF Cite |  | ||
| May 2019 | Exploiting Uncertainty of Loss Landscape for Stochastic Optimization Vin Bhaskara, Sneha Desai arXiv:1905.13200 [cs.LG] Arxiv Cite |  | ||
| Apr 2019 | Risk Prediction in the General Internal Medicine Ward at St. Michael's Hospital Vin Bhaskara, Yingying Fu, Sindhu Gowda DOI: 10.13140/RG.2.2.27695.55205 Link PDF Cite |  | ||
| Jul 2018 | Emulating Malware Authors for Proactive Protection using GANs over File Behaviors Vin Bhaskara, Debanjan Bhattacharyya arXiv:1807.07525 [stat.ML] Arxiv Cite |  |