PhD student at EPFL (@epfl-ml4ed, @epfml). Formerly @vinitra-zz, alum at Microsoft AI @onnx and UC Berkeley @data-8.
Highlights
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epfl-ml4ed/evaluating-explainers
epfl-ml4ed/evaluating-explainers PublicComparing 5 different XAI techniques (LIME, PermSHAP, KernelSHAP, DiCE, CEM) through quantitative metrics. Published at EDM 2022.
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epfml/interpret-lm-knowledge
epfml/interpret-lm-knowledge PublicExtracting knowledge graphs from language models as a diagnostic benchmark of model performance (NeurIPS XAI 2021).
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onnx/models
onnx/models PublicA collection of pre-trained, state-of-the-art models in the ONNX format
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epfl-ml4ed/ripple
epfl-ml4ed/ripple PublicInterpretability on raw time series with graph neural nets and concept activation vectors. Featured at AAAI 2023.
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EPFLiGHT/MultiModN
EPFLiGHT/MultiModN PublicMultiModN – Multimodal, Multi-Task, Interpretable Modular Networks (NeurIPS 2023)
62 contributions in the last year
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Activity overview
Contributed to
schole-ai/schole-ai.github.io,
LauzHack/deep-learning-bootcamp,
epfl-ml4ed/answer-forecasting
and 4 other
repositories
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Contribution activity
April 2025
vinitra has no activity
yet for this period.