FaceLiVT: Face Recognition using Linear Vision Transformer with Structural Reparameterization For Mobile Device

12 June 2025

Papers citing "FaceLiVT: Face Recognition using Linear Vision Transformer with Structural Reparameterization For Mobile Device"

38 / 38 papers shown

Title
Clifford Group Equivariant Diffusion Models for 3D Molecular Generation Cong Liu Sharvaree P. Vadgama David Ruhe Erik Bekkers Patrick Forré DiffM 80 0 0 22 Apr 2025
Conditional Synthesis of 3D Molecules with Time Correction Sampler Hojung Jung Youngrok Park Laura Schmid Jaehyeong Jo Dongkyu Lee Bongsang Kim Se-Young Yun Jinwoo Shin DiffM 87 4 0 01 Nov 2024
Neural Flow Diffusion Models: Learnable Forward Process for Improved Diffusion Modelling Grigory Bartosh Dmitry Vetrov C. A. Naesseth DiffM 87 16 0 19 Apr 2024
Equivariant Flow Matching with Hybrid Probability Transport Yuxuan Song Jingjing Gong Minkai Xu Ziyao Cao Yanyan Lan Stefano Ermon Hao Zhou Wei-Ying Ma DiffM 69 55 0 12 Dec 2023
Symphony: Symmetry-Equivariant Point-Centered Spherical Harmonics for Molecule Generation Ameya Daigavane Song Kim Mario Geiger Tess E. Smidt 72 10 0 27 Nov 2023
DiffEnc: Variational Diffusion with a Learned Encoder Beatrix M. G. Nielsen Anders Christensen Andrea Dittadi Ole Winther DiffM 84 13 0 30 Oct 2023
Neural Diffusion Models Grigory Bartosh Dmitry Vetrov C. A. Naesseth DiffM 72 10 0 12 Oct 2023
Navigating the Design Space of Equivariant Diffusion-Based Generative Models for De Novo 3D Molecule Generation Tuan Le Julian Cremer Frank Noé Djork-Arné Clevert Kristof T. Schütt DiffM 96 31 0 29 Sep 2023
Practical and Asymptotically Exact Conditional Sampling in Diffusion Models Luhuan Wu Brian L. Trippe C. A. Naesseth David M. Blei John P. Cunningham DiffM 100 98 0 30 Jun 2023
3D molecule generation by denoising voxel grids Pedro H. O. Pinheiro Joshua Rackers J. Kleinhenz Michael R. Maser Omar Mahmood Andrew Watkins Stephen Ra Vishnu Sresht Saeed Saremi DiffM 74 25 0 13 Jun 2023
MolDiff: Addressing the Atom-Bond Inconsistency Problem in 3D Molecule Diffusion Generation Xingang Peng Jiaqi Guan Qiang Liu Jianzhu Ma DiffM 58 47 0 11 May 2023
Coarse-to-Fine: a Hierarchical Diffusion Model for Molecule Generation in 3D Yiran Zhou Yuxuan Song Minkai Xu Jingjing Gong B. Gao Hao Zhou Weiying Ma Yanyan Lan DiffM 84 18 0 05 May 2023
Geometric Latent Diffusion Models for 3D Molecule Generation Minkai Xu Alexander Powers R. Dror Stefano Ermon J. Leskovec DiffM AI4CE 125 149 0 02 May 2023
EigenFold: Generative Protein Structure Prediction with Diffusion Models Bowen Jing Ezra Erives Peter Pao-Huang Gabriele Corso Bonnie Berger Tommi Jaakkola DiffM 97 74 0 05 Apr 2023
MiDi: Mixed Graph and 3D Denoising Diffusion for Molecule Generation Clément Vignac Nagham Osman Laura Toni P. Frossard DiffM 78 61 0 17 Feb 2023
Timewarp: Transferable Acceleration of Molecular Dynamics by Learning Time-Coarsened Dynamics Leon Klein Andrew Y. K. Foong T. E. Fjelde Bruno Mlodozeniec Marc Brockschmidt Sebastian Nowozin Frank Noé Ryota Tomioka AI4CE 100 46 0 02 Feb 2023
Flow Matching for Generative Modeling Y. Lipman Ricky T. Q. Chen Heli Ben-Hamu Maximilian Nickel Matt Le OOD 207 1,365 0 06 Oct 2022
Equivariant Energy-Guided SDE for Inverse Molecular Design Fan Bao Min Zhao Zhongkai Hao Pei‐Yun Li Chongxuan Li Jun Zhu DiffM 239 67 0 30 Sep 2022
Diffusion-based Molecule Generation with Informative Prior Bridges Lemeng Wu Chengyue Gong Xingchao Liu Mao Ye Qiang Liu DiffM 91 115 0 02 Sep 2022
Diffusion Models: A Comprehensive Survey of Methods and Applications Ling Yang Zhilong Zhang Yingxia Shao Shenda Hong Runsheng Xu Yue Zhao Wentao Zhang Tengjiao Wang Ming-Hsuan Yang DiffM MedIm 360 1,397 0 02 Sep 2022
Analog Bits: Generating Discrete Data using Diffusion Models with Self-Conditioning Ting-Li Chen Ruixiang Zhang Geoffrey E. Hinton DiffM 94 308 0 08 Aug 2022
MACE: Higher Order Equivariant Message Passing Neural Networks for Fast and Accurate Force Fields Ilyes Batatia D. P. Kovács G. Simm Christoph Ortner Gábor Csányi 87 496 0 15 Jun 2022
Equivariant Diffusion for Molecule Generation in 3D Emiel Hoogeboom Victor Garcia Satorras Clément Vignac Max Welling DiffM 127 618 0 31 Mar 2022
GeoDiff: a Geometric Diffusion Model for Molecular Conformation Generation Minkai Xu Lantao Yu Yang Song Chence Shi Stefano Ermon Jian Tang BDL DiffM 160 516 0 06 Mar 2022
Generating 3D Molecules Conditional on Receptor Binding Sites with Deep Generative Models Matthew Ragoza Tomohide Masuda D. Koes DiffM 57 117 0 28 Oct 2021
Inverse design of 3d molecular structures with conditional generative neural networks Niklas W. A. Gebauer M. Gastegger Stefaan S. P. Hessmann Klaus-Robert Muller Kristof T. Schütt AI4CE 225 173 0 10 Sep 2021
Variational Diffusion Models Diederik P. Kingma Tim Salimans Ben Poole Jonathan Ho DiffM 181 1,130 0 01 Jul 2021
E(n) Equivariant Normalizing Flows Victor Garcia Satorras Emiel Hoogeboom F. Fuchs Ingmar Posner Max Welling BDL 79 180 0 19 May 2021
Equivariant message passing for the prediction of tensorial properties and molecular spectra Kristof T. Schütt Oliver T. Unke M. Gastegger 110 541 0 05 Feb 2021
E(3)-Equivariant Graph Neural Networks for Data-Efficient and Accurate Interatomic Potentials Simon L. Batzner Albert Musaelian Lixin Sun Mario Geiger J. Mailoa M. Kornbluth N. Molinari Tess E. Smidt Boris Kozinsky 302 1,308 0 08 Jan 2021
Score-Based Generative Modeling through Stochastic Differential Equations Yang Song Jascha Narain Sohl-Dickstein Diederik P. Kingma Abhishek Kumar Stefano Ermon Ben Poole DiffM SyDa 347 6,551 0 26 Nov 2020
Machine Learning Force Fields Oliver T. Unke Stefan Chmiela H. E. Sauceda M. Gastegger I. Poltavsky Kristof T. Schütt A. Tkatchenko K. Müller AI4CE 109 916 0 14 Oct 2020
Denoising Diffusion Probabilistic Models Jonathan Ho Ajay Jain Pieter Abbeel DiffM 663 18,276 0 19 Jun 2020
GEOM: Energy-annotated molecular conformations for property prediction and molecular generation Simon Axelrod Rafael Gómez-Bombarelli 3DV AI4CE 92 221 0 09 Jun 2020
Reinforcement Learning for Molecular Design Guided by Quantum Mechanics G. Simm Robert Pinsler José Miguel Hernández-Lobato AI4CE 66 85 0 18 Feb 2020
Symmetry-adapted generation of 3d point sets for the targeted discovery of molecules Niklas W. A. Gebauer M. Gastegger Kristof T. Schütt 123 209 0 02 Jun 2019
SchNet: A continuous-filter convolutional neural network for modeling quantum interactions Kristof T. Schütt Pieter-Jan Kindermans Huziel Enoc Sauceda Felix Stefan Chmiela A. Tkatchenko K. Müller 155 1,086 0 26 Jun 2017
Deep Unsupervised Learning using Nonequilibrium Thermodynamics Jascha Narain Sohl-Dickstein Eric A. Weiss Niru Maheswaranathan Surya Ganguli SyDa DiffM 306 7,005 0 12 Mar 2015