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YunyiShen/README.md

I study scientific machine learning and statistics with applications in biology, physics and astronomy. I used to be a field ecologist and I keep a line of work on large carnivores (big cats and dogs in the wild). I consider myself more of a naturalist liking animals and stars and willing to study them. Most of my academic work can be found on Google Scholar and arxiv.

Quick Facts:

  • 🔭 I’m currently working on statistical/machine learning problems in biology, physics and astronomy
  • 📫 How to reach me: yunyi.shen[at]alum[dot]mit[dot]edu

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  1. SB-Iterative-Reference-Refinement SB-Iterative-Reference-Refinement Public

    Multi-marginal Schrödinger Bridges with Iterative Reference Refinement (AISTATS'25)

    Python 8 2

  2. snapMMD snapMMD Public

    Forecasting stochastic dynamics from population snapshots by least MMD fitting

    Python 2 1

  3. mmTrajectory-inference-benchmarks mmTrajectory-inference-benchmarks Public

    Some benchmarking dataset/simulation for multimarginal trajectory inference

    Python

  4. transceiver-dev transceiver-dev Public

    Perceiver for data from (astronomical) transients

    Python 2

  5. ARM-FI ARM-FI Public

    Active reward modeling with last layer Fisher Information (ICML'25)

    Python 7

  6. holarissun/RewardModelingBeyondBradleyTerry holarissun/RewardModelingBeyondBradleyTerry Public

    official implementation of ICLR'2025 paper: Rethinking Bradley-Terry Models in Preference-based Reward Modeling: Foundations, Theory, and Alternatives

    Python 73 4