I publish under Kai Hou Yip (K. H. Yip). Highlighted below are representative papers across ML benchmarking, probabilistic inference, neural surrogates, and explainable AI, followed by the complete chronological record.
Benchmark & Evaluation · 2025
NeurIPS Ariel Data Challenge 2024: Characterization of Exoplanetary Atmospheres Using a Data-Centric Approach
Yip, K. H., Mugnai, L. V., Coates, R. L., et al. · NeurIPS Competition Track
Large-scale benchmark architecture and calibrated Gaussian Log-Likelihood evaluation for weak-signal extraction under realistic space-instrument noise.
Probabilistic ML & SBI · 2024
To Sample or Not To Sample: Retrieving Exoplanetary Spectra with Variational Inference and Normalising Flows
Yip, K. H., Changeat, Q., Al-Refaie, A. F., & Waldmann, I. P. · The Astrophysical Journal (ApJ), 961(1), 30
Amortised Bayesian posterior estimation using normalising flows and variational inference for high-dimensional spectroscopic inverse problems.
AI for Science & Surrogates · 2024
Enhancing 3D Planetary Atmosphere Simulations with Advanced Surrogate Modeling
Tahseen, T. P. A., Mendonça, J. M., Yip, K. H., & Waldmann, I. P. · Monthly Notices of the Royal Astronomical Society (MNRAS), 535(3), 2210
Physics-informed surrogate architectures accelerating computationally expensive 3D fluid and radiative planetary simulations.
Explainable & Trustworthy AI · 2021
Peeking Inside the Black Box: Interpreting Deep-Learning Models for Exoplanet Atmospheric Retrievals
Yip, K. H., Changeat, Q., Nikolaou, N., Morvan, M., Edwards, B., Waldmann, I. P., & Tinetti, G. · The Astronomical Journal (AJ), 162(5), 195
Interpretability diagnostics investigating how neural networks encode physical laws and behave under observational noise.
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On the synergetic use of Ariel and JWST for exoplanet atmospheric science (2026).
Changeat, Q., Lagage, P.-O., Tinetti, G., Charnay, B., Cowan, N. B., Danielski, C., Ducrot, E., Dyrek, A., Edwards, B., Ikoma, M., Lueftinger, T., Micela, G., Morello, G., Panic, O., Pascale, E., Robert, S., Venot, O., Barstow, J. K., Bocchieri, A., Cho, J. Y-K., Cloutier, R., Coustenis, A., Dang, L., Fujii, Y., Ito, Y., Lavvas, P., Miguel, Y., Mugnai, L. V., Yip, K. H., & Zak, J. · RAS Techniques and Instruments (RASTI), rzag085 (accepted manuscript, published online 27 October 2026)
DOI ↗
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Graph Neural Networks For Exoplanets Atmospheres (2026).
Vojteková, A., Yip, K. H., Waldmann, I. P., Nikolaou, N., Venot, O., Al-Refaie, A. F., & Merín, B. · arXiv e-prints, arXiv:2609.17894 [astro-ph.IM]
arXiv ↗
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Interpreting atmospheric neural networks: insights from explainable AI (2026).
Vojteková, A., Nikolaou, N., Yip, K. H., Venot, O., Al-Refaie, A. F., Merín, B., & Waldmann, I. P. · RAS Techniques and Instruments (RASTI), 5, rzag002
DOI ↗
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NeurIPS Ariel Data Challenge 2024: Characterization of Exoplanetary Atmospheres Using a Data-Centric Approach (2025).
Yip, K. H., Mugnai, L. V., Coates, R. L., et al. · NeurIPS Competition Track / arXiv:2505.08940
arXiv ↗
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A Population Analysis of 20 Exoplanets Observed from Optical to Near-infrared Wavelengths with the Hubble Space Telescope: Evidence for Widespread Stellar Contamination (2025).
Saba, A., Thompson, A., Yip, K. H., Ma, S., Tsiaras, A., Al-Refaie, A. F., & Tinetti, G. · The Astrophysical Journal Supplement Series (ApJS), 276(2), 70
DOI ↗
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CHEXANET: a novel approach to fast-tracking disequilibrium chemistry calculations for exoplanets using neural networks (2025).
Vojteková, A., Waldmann, I. P., Yip, K. H., Merín, B., Al-Refaie, A. F., & Venot, O. · Monthly Notices of the Royal Astronomical Society (MNRAS), 538(3), 1690–1719
DOI ↗
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The effect of spectroscopic binning on atmospheric retrievals (2025).
Davey, J. J., Yip, K. H., Al-Refaie, A. F., & Waldmann, I. P. · Monthly Notices of the Royal Astronomical Society (MNRAS), 536(3), 2618–2644
DOI ↗
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To Sample or Not To Sample: Retrieving Exoplanetary Spectra with Variational Inference and Normalising Flows (2024).
Yip, K. H., Changeat, Q., Al-Refaie, A. F., & Waldmann, I. P. · The Astrophysical Journal (ApJ), 961(1), 30
ApJ / arXiv ↗
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Enhancing 3D planetary atmosphere simulations with advanced surrogate modeling (2024).
Tahseen, T. P. A., Mendonça, J. M., Yip, K. H., & Waldmann, I. P. · Monthly Notices of the Royal Astronomical Society (MNRAS), 535(3), 2210
DOI ↗
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ESA-Ariel Data Challenge NeurIPS 2022: introduction to exo-atmospheric studies and presentation of the Atmospheric Big Challenge (ABC) Database (2023).
Changeat, Q., & Yip, K. H. · RAS Techniques and Instruments (RASTI), 2(1), 45–61
RASTI / arXiv ↗
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Exploring the Ability of HST WFC3 G141 to Uncover Trends in Populations of Exoplanet Atmospheres Through a Homogeneous Transmission Survey of 70 Gaseous Planets (2023).
Edwards, B., Changeat, Q., Tsiaras, A., Yip, K. H., Al-Refaie, A. F., Anisman, L., ... & Tinetti, G. · The Astrophysical Journal Supplement Series (ApJS), 269(1), 31 (arXiv:2211.00649)
arXiv / ApJS ↗
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ESA-Ariel Data Challenge NeurIPS 2022: Inferring Physical Properties of Exoplanets From Next-Generation Telescopes (2022).
Yip, K. H., Waldmann, I. P., Changeat, Q., Morvan, M., Al-Refaie, A. F., Edwards, B., ... & Tinetti, G. · arXiv e-prints / NeurIPS 2022 Competition Track (arXiv:2206.14642)
arXiv ↗
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Five Key Exoplanet Questions Answered via the Analysis of 25 Hot-Jupiter Atmospheres in Eclipse (2022).
Changeat, Q., Edwards, B., Al-Refaie, A. F., Tsiaras, A., Skinner, J. W., Cho, J. Y. K., Yip, K. H., ... & Tinetti, G. · The Astrophysical Journal Supplement Series (ApJS), 260(1), 3
DOI ↗
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Lessons Learned from the 1st ARIEL Machine Learning Challenge: Correcting Transiting Exoplanet Light Curves for Stellar Spots (2022).
Nikolaou, N., Waldmann, I. P., Tsiaras, A., Morvan, M., Edwards, B., Yip, K. H., ... & Morik, K. · RAS Techniques and Instruments (arXiv:2010.15996)
arXiv ↗
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Peeking inside the Black Box: Interpreting Deep-learning Models for Exoplanet Atmospheric Retrievals (2021).
Yip, K. H., Changeat, Q., Nikolaou, N., Morvan, M., Edwards, B., Waldmann, I. P., & Tinetti, G. · The Astronomical Journal (AJ), 162(5), 195
AJ / DOI ↗
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On the Compatibility of Ground-based and Space-based Data: WASP-96 b, an Example (2021).
Yip, K. H., Changeat, Q., Edwards, B., Morvan, M., Chubb, K. L., Tsiaras, A., ... & Tinetti, G. · The Astronomical Journal (AJ), 161(1), 4
DOI / AJ ↗
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Conservative Policy Construction Using Variational Autoencoders for Logged Data with Missing Values (2021).
Abroshan, M., Yip, K. H., Tekin, C., & van der Schaar, M. · arXiv e-prints, arXiv:2109.03747 [cs.LG]
arXiv ↗
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Hubble WFC3 Spectroscopy of the Habitable-zone Super-Earth LHS 1140 b (2021).
Edwards, B., Changeat, Q., Mori, M., Anisman, L. O., Morvan, M., Yip, K. H., ... & Tinetti, G. · The Astronomical Journal (AJ), 161(1), 44
DOI ↗
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Original Research By Young Twinkle Students (ORBYTS): Ephemeris Refinement of Transiting Exoplanets (2021).
Edwards, B., Changeat, Q., Yip, K. H., Tsiaras, A., Taylor, J., Akhtar, B., ... & Tennyson, J. · Monthly Notices of the Royal Astronomical Society (MNRAS), 504(4), 5671–5684
DOI ↗
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Integrating Light Curve and Atmospheric Modeling of Transiting Exoplanets (2020).
Yip, K. H., Tsiaras, A., Waldmann, I. P., & Tinetti, G. · The Astronomical Journal (AJ), 160(4), 171
DOI / AJ ↗
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Pushing the Limits of Exoplanet Discovery via Direct Imaging with Deep Learning (2020).
Yip, K. H., Nikolaou, N., Coronica, P., Tsiaras, A., Edwards, B., Changeat, Q., ... & Waldmann, I. P. · Machine Learning and Knowledge Discovery in Databases (ECML-PKDD), Springer, LNCS 11908
Springer / arXiv ↗
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ARES. III. Unveiling the Two Faces of KELT-7 b with HST WFC3 (2020).
Pluriel, W., Whiteford, N., Edwards, B., Changeat, Q., Yip, K. H., Baeyens, R., ... & Beaulieu, J.-P. · The Astronomical Journal (AJ), 160(3), 112
DOI ↗
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Google Scholar & NASA ADS. Complete refereed and unrefereed bibliography under K. H. Yip.
Google Scholar ↗
NASA ADS ↗
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arXiv preprints. Open access machine learning and astrophysics preprints.
Search arXiv ↗