Hiranya V. Peiris

11 papers Journal 11

Year	Rank	Type	Title / Venue / Authors
2023	J	`jnl`	A robust estimator of mutual information for deep learning interpretability. Mach. Learn. Sci. Technol. Davide Piras, Hiranya V. Peiris, Andrew Pontzen, Luisa Lucie-Smith, Ningyuan Guo, Brian Nord
2023	J	`jnl`	Explaining dark matter halo density profiles with neural networks. CoRR Luisa Lucie-Smith, Hiranya V. Peiris, Andrew Pontzen
2022	J	`jnl`	A robust estimator of mutual information for deep learning interpretability. CoRR Davide Piras, Hiranya V. Peiris, Andrew Pontzen, Luisa Lucie-Smith, Ningyuan Guo, Brian Nord
2022	J	`jnl`	Discovering the building blocks of dark matter halo density profiles with neural networks. CoRR Luisa Lucie-Smith, Hiranya V. Peiris, Andrew Pontzen, Brian Nord, Jeyan Thiyagalingam, Davide Piras
2020	J	`jnl`	Deep learning insights into cosmological structure formation. CoRR Luisa Lucie-Smith, Hiranya V. Peiris, Andrew Pontzen, Brian Nord, Jeyan Thiyagalingam
2015	J	`jnl`	3D weak lensing with spin wavelets on the ball. CoRR Boris Leistedt, Jason D. McEwen, Thomas D. Kitching, Hiranya V. Peiris
2015	J	`jnl`	A Novel Sampling Theorem on the Rotation Group. IEEE Signal Process. Lett. Jason D. McEwen, Martin Büttner, Boris Leistedt, Hiranya V. Peiris, Yves Wiaux
2015	J	`jnl`	A novel sampling theorem on the rotation group. CoRR Jason D. McEwen, Martin Büttner, Boris Leistedt, Hiranya V. Peiris, Yves Wiaux
2015	J	`jnl`	Directional spin wavelets on the sphere. CoRR Jason D. McEwen, Boris Leistedt, Martin Büttner, Hiranya V. Peiris, Yves Wiaux
2014	J	`jnl`	On spin scale-discretised wavelets on the sphere for the analysis of CMB polarisation. CoRR Jason D. McEwen, Martin Büttner, Boris Leistedt, Hiranya V. Peiris, Pierre Vandergheynst, Yves Wiaux
2013	J	`jnl`	Flaglets for studying the large-scale structure of the Universe. CoRR Boris Leistedt, Hiranya V. Peiris, Jason D. McEwen