Ameya Daigavane

16 papers A* 2Journal 13Unranked 1
YearRankTypeTitle / Venue / Authors
2026 J jnl
Asymptotically Fast Clebsch-Gordan Tensor Products with Vector Spherical Harmonics.
CoRR
Yuqing Xie, Ameya Daigavane, Mit Kotak, Tess E. Smidt
2025 J jnl
Artificial Intelligence for Science in Quantum, Atomistic, and Continuum Systems.
Found. Trends Mach. Learn.
Xuan Zhang, Limei Wang, Jacob Helwig, Youzhi Luo, Cong Fu, Yaochen Xie, Meng Liu, Yuchao Lin, Zhao Xu, Keqiang Yan, Keir Adams, Maurice Weiler, Xiner Li, Tianfan Fu, Yucheng Wang, Alex Strasser, Haiyang Yu, Yuqing Xie, Xiang Fu, Shenglong Xu, Yi Liu, Yuanqi Du, Alexandra Saxton, Hongyi Ling, Hannah Lawrence, Hannes Stärk, Shurui Gui, Carl Edwards, Nicholas Gao, Adriana Ladera, Tailin Wu, Elyssa F. Hofgard, Aria Mansouri Tehrani, Rui Wang, Ameya Daigavane, Montgomery Bohde, Jerry Kurtin, Qian Huang, Tuong Phung, Minkai Xu, Chaitanya K. Joshi, Simon V. Mathis, Kamyar Azizzadenesheli, Ada Fang, Alán Aspuru-Guzik, Erik J. Bekkers, Michael M. Bronstein, Marinka Zitnik, Anima Anandkumar, Stefano Ermon, Pietro Liò, Rose Yu, Stephan Günnemann, Jure Leskovec, Heng Ji, Jimeng Sun, Regina Barzilay, Tommi S. Jaakkola, Connor W. Coley, Xiaoning Qian, Xiaofeng Qian, Tess E. Smidt, Shuiwang Ji
2025 J jnl
Matching the Optimal Denoiser in Point Cloud Diffusion with (Improved) Rotational Alignment.
CoRR
Ameya Daigavane, Yuqing Xie, Bodhi P. Vani, Saeed Saremi, Joseph Kleinhenz, Tess E. Smidt
2025 A* conf
The Price of Freedom: Exploring Expressivity and Runtime Tradeoffs in Equivariant Tensor Products.
ICML
Yuqing Xie, Ameya Daigavane, Mit Kotak, Tess E. Smidt
2025 J jnl
The Price of Freedom: Exploring Expressivity and Runtime Tradeoffs in Equivariant Tensor Products.
CoRR
Yuqing Xie, Ameya Daigavane, Mit Kotak, Tess E. Smidt
2024 — conf
Differentially Private Graph Neural Networks for Medical Population Graphs and The Impact of The Graph Structure.
ISBI
Tamara T. Mueller, Maulik Chevli, Ameya Daigavane, Daniel Rueckert, Georgios Kaissis
2024 J jnl
EquiJump: Protein Dynamics Simulation via SO(3)-Equivariant Stochastic Interpolants.
CoRR
Allan dos Santos Costa, Ilan Mitnikov, Franco Pellegrini, Ameya Daigavane, Mario Geiger, Zhonglin Cao, Karsten Kreis, Tess E. Smidt, Emine Küçükbenli, Joseph Jacobson
2024 J jnl
JAMUN: Transferable Molecular Conformational Ensemble Generation with Walk-Jump Sampling.
CoRR
Ameya Daigavane, Bodhi P. Vani, Saeed Saremi, Joseph Kleinhenz, Joshua A. Rackers
2024 A* conf
Symphony: Symmetry-Equivariant Point-Centered Spherical Harmonics for 3D Molecule Generation.
ICLR
Ameya Daigavane, Song Kim, Mario Geiger, Tess E. Smidt
2023 J jnl
Artificial Intelligence for Science in Quantum, Atomistic, and Continuum Systems.
CoRR
Xuan Zhang, Limei Wang, Jacob Helwig, Youzhi Luo, Cong Fu, Yaochen Xie, Meng Liu, Yuchao Lin, Zhao Xu, Keqiang Yan, Keir Adams, Maurice Weiler, Xiner Li, Tianfan Fu, Yucheng Wang, Haiyang Yu, Yuqing Xie, Xiang Fu, Alex Strasser, Shenglong Xu, Yi Liu, Yuanqi Du, Alexandra Saxton, Hongyi Ling, Hannah Lawrence, Hannes Stärk, Shurui Gui, Carl Edwards, Nicholas Gao, Adriana Ladera, Tailin Wu, Elyssa F. Hofgard, Aria Mansouri Tehrani, Rui Wang, Ameya Daigavane, Montgomery Bohde, Jerry Kurtin, Qian Huang, Tuong Phung, Minkai Xu, Chaitanya K. Joshi, Simon V. Mathis, Kamyar Azizzadenesheli, Ada Fang, Alán Aspuru-Guzik, Erik J. Bekkers, Michael M. Bronstein, Marinka Zitnik, Anima Anandkumar, Stefano Ermon, Pietro Liò, Rose Yu, Stephan Günnemann, Jure Leskovec, Heng Ji, Jimeng Sun, Regina Barzilay, Tommi S. Jaakkola, Connor W. Coley, Xiaoning Qian, Xiaofeng Qian, Tess E. Smidt, Shuiwang Ji
2023 J jnl
Privacy-Utility Trade-offs in Neural Networks for Medical Population Graphs: Insights from Differential Privacy and Graph Structure.
CoRR
Tamara T. Mueller, Maulik Chevli, Ameya Daigavane, Daniel Rueckert, Georgios Kaissis
2023 J jnl
Symphony: Symmetry-Equivariant Point-Centered Spherical Harmonics for Molecule Generation.
CoRR
Ameya Daigavane, Song Kim, Mario Geiger, Tess E. Smidt
2022 J jnl
Learning Integrable Dynamics with Action-Angle Networks.
CoRR
Ameya Daigavane, Arthur Kosmala, Miles D. Cranmer, Tess E. Smidt, Shirley Ho
2022 J jnl
Resource Consumption and Radiation Tolerance Assessment for Data Analysis Algorithms Onboard Spacecraft.
IEEE Trans. Aerosp. Electron. Syst.
Gary Doran, Ameya Daigavane, Kiri L. Wagstaff
2022 J jnl
Unsupervised detection of Saturn magnetic field boundary crossings from plasma spectrometer data.
Comput. Geosci.
Ameya Daigavane, Kiri L. Wagstaff, Gary Doran, Corey J. Cochrane, Caitriona M. Jackman, Abigail Rymer
2021 J jnl
Node-Level Differentially Private Graph Neural Networks.
CoRR
Ameya Daigavane, Gagan Madan, Aditya Sinha, Abhradeep Guha Thakurta, Gaurav Aggarwal, Prateek Jain