MADE: Masked Autoencoder for Distribution Estimation

12 February 2015

Papers citing "MADE: Masked Autoencoder for Distribution Estimation"

50 / 185 papers shown

Title
Accelerate TarFlow Sampling with GS-Jacobi Iteration Ben Liu Zhen Qin 22 0 0 19 May 2025
Multilevel Generative Samplers for Investigating Critical Phenomena Ankur Singha E. Cellini K. Nicoli K. Jansen Stefan Kühn Shinichi Nakajima 69 1 0 11 Mar 2025
Full-waveform earthquake source inversion using simulation-based inference A. A. Saoulis Davide Piras A. Spurio Mancini B. Joachimi A. M. G. Ferreira 47 0 0 30 Oct 2024
SoftCVI: Contrastive variational inference with self-generated soft labels Daniel Ward Mark Beaumont Matteo Fasiolo BDL 58 0 0 22 Jul 2024
Convolutional L2LFlows: Generating Accurate Showers in Highly Granular Calorimeters Using Convolutional Normalizing Flows Thorsten Buss F. Gaede Gregor Kasieczka Claudius Krause David Shih AI4CE 41 6 0 30 May 2024
Unifying Simulation and Inference with Normalizing Flows Haoxing Du Claudius Krause Vinicius Mikuni Benjamin Nachman Ian Pang David Shih 47 3 0 29 Apr 2024
Simple Ingredients for Offline Reinforcement Learning Edoardo Cetin Andrea Tirinzoni Matteo Pirotta A. Lazaric Yann Ollivier Ahmed Touati OffRL 44 2 0 19 Mar 2024
Denoising Autoregressive Representation Learning Yazhe Li J. Bornschein Ting Chen DiffM 40 3 0 08 Mar 2024
C2FAR: Coarse-to-Fine Autoregressive Networks for Precise Probabilistic Forecasting Shane Bergsma Timothy J. Zeyl J. R. Anaraki Lei Guo BDL AI4TS 31 10 0 22 Dec 2023
Self-supervised Complex Network for Machine Sound Anomaly Detection Miseul Kim M. Ho Hong-Goo Kang 30 8 0 21 Dec 2023
CoCoGen: Physically-Consistent and Conditioned Score-based Generative Models for Forward and Inverse Problems Christian L. Jacobsen Yilin Zhuang Karthik Duraisamy AI4CE SyDa DiffM 34 17 0 16 Dec 2023
TERM Model: Tensor Ring Mixture Model for Density Estimation Ruituo Wu Jiani Liu Ce Zhu Anh-Huy Phan Ivan Oseledets Yipeng Liu 33 1 0 13 Dec 2023
Matching aggregate posteriors in the variational autoencoder Surojit Saha Sarang Joshi Ross T. Whitaker DRL 37 4 0 13 Nov 2023
Optimal simulation-based Bayesian decisions Justin Alsing Thomas D. P. Edwards Benjamin Dan Wandelt 36 1 0 09 Nov 2023
Diffusion-Generative Multi-Fidelity Learning for Physical Simulation Zheng Wang Shibo Li Shikai Fang Shandian Zhe DiffM AI4CE 23 1 0 09 Nov 2023
The voraus-AD Dataset for Anomaly Detection in Robot Applications Jan Thiess Brockmann Marco Rudolph Bodo Rosenhahn Bastian Wandt 34 11 0 08 Nov 2023
Human Kinematics-inspired Skeleton-based Video Anomaly Detection Jian Xiao Tianyuan Liu Genlin Ji 3DH 24 2 0 27 Sep 2023
Motif-aware Attribute Masking for Molecular Graph Pre-training Eric Inae Gang Liu Meng Jiang AI4CE 48 14 0 08 Sep 2023
Representation Learning for Sequential Volumetric Design Tasks Md Ferdous Alam Yi Wang Linh Tran Chin-Yi Cheng Jieliang Luo 3DV 27 2 0 05 Sep 2023
Order-based Structure Learning with Normalizing Flows Hamidreza Kamkari Vahid Balazadeh Meresht Vahid Zehtab Rahul G. Krishnan CML 37 1 0 14 Aug 2023
LINFA: a Python library for variational inference with normalizing flow and annealing Yu Wang Emma R. Cobian Jubilee Lee Fang Liu J. Hauenstein Daniele E. Schiavazzi BDL AI4CE 28 0 0 10 Jul 2023
NNQS-Transformer: an Efficient and Scalable Neural Network Quantum States Approach for Ab initio Quantum Chemistry Yangjun Wu Chu Guo Yi Fan P. Zhou Honghui Shang GNN 36 15 0 29 Jun 2023
Neuro-Causal Factor Analysis Alex Markham Ming-Yu Liu Bryon Aragam Liam Solus CML 35 3 0 31 May 2023
Inductive Simulation of Calorimeter Showers with Normalizing Flows M. Buckley Claudius Krause Ian Pang David Shih AI4CE 26 22 0 19 May 2023
Variational Inference for Longitudinal Data Using Normalizing Flows Clément Chadebec S. Allassonnière BDL DRL 31 1 0 24 Mar 2023
Learning Electron Bunch Distribution along a FEL Beamline by Normalising Flows Anna Willmann J. C. Cabadağ Yen-Yu Chang R. Pausch Amin Ghaith A. Debus A. Irman Michael Bussmann U. Schramm Nico Hoffmann 11 0 0 27 Feb 2023
Invertible Neural Skinning Yash Kant Aliaksandr Siarohin R. A. Guler Menglei Chai Jian Ren Sergey Tulyakov Igor Gilitschenski 3DH 32 2 0 18 Feb 2023
The autoregressive neural network architecture of the Boltzmann distribution of pairwise interacting spins systems I. Biazzo AI4CE 34 7 0 16 Feb 2023
Aerial Image Object Detection With Vision Transformer Detector (ViTDet) Liya Wang A. Tien 54 7 0 28 Jan 2023
L-HYDRA: Multi-Head Physics-Informed Neural Networks Zongren Zou George Karniadakis AI4CE 18 26 0 05 Jan 2023
Geometry-aware Autoregressive Models for Calorimeter Shower Simulations Junze Liu A. Ghosh Dylan Smith Pierre Baldi D. Whiteson OOD AI4CE 21 5 0 16 Dec 2022
Waveflow: Enforcing boundary conditions in smooth normalizing flows with application to fermionic wave functions Luca Thiede Chong Sun A. Aspuru‐Guzik 41 1 0 27 Nov 2022
Normalizing Flow with Variational Latent Representation Hanze Dong Shizhe Diao Weizhong Zhang Tong Zhang BDL OOD DRL 16 0 0 21 Nov 2022
Astronomia ex machina: a history, primer, and outlook on neural networks in astronomy Michael J. Smith James E. Geach 40 32 0 07 Nov 2022
Grassmann Manifold Flows for Stable Shape Generation Ryoma Yataka Kazuki Hirashima Masashi Shiraishi 27 1 0 05 Nov 2022
Connecting Surrogate Safety Measures to Crash Probablity via Causal Probabilistic Time Series Prediction Jiajian Lu Offer Grembek M. Hansen AI4TS 24 0 0 04 Oct 2022
Neural Causal Models for Counterfactual Identification and Estimation K. Xia Yushu Pan Elias Bareinboim CML 50 32 0 30 Sep 2022
Offline Reinforcement Learning via High-Fidelity Generative Behavior Modeling Huayu Chen Cheng Lu Chengyang Ying Hang Su Jun Zhu DiffM OffRL 108 106 0 29 Sep 2022
Self-supervised similarity models based on well-logging data S. Egorov Narek Gevorgyan Alexey Zaytsev SSL 35 5 0 26 Sep 2022
Uncovering dark matter density profiles in dwarf galaxies with graph neural networks Tri Nguyen S. Mishra-Sharma R. Williams L. Necib 28 2 0 26 Aug 2022
AdaCat: Adaptive Categorical Discretization for Autoregressive Models Qiyang Li Ajay Jain Pieter Abbeel OffRL 45 4 0 03 Aug 2022
Quantum Adaptive Fourier Features for Neural Density Estimation Joseph A. Gallego-Mejia Fabio A. González 18 9 0 01 Aug 2022
Discrete Tree Flows via Tree-Structured Permutations Mai Elkady Jim Lim David I. Inouye TPM 24 2 0 04 Jul 2022
RevBiFPN: The Fully Reversible Bidirectional Feature Pyramid Network Vitaliy Chiley Vithursan Thangarasa Abhay Gupta Anshul Samar Joel Hestness D. DeCoste 52 8 0 28 Jun 2022
Pythae: Unifying Generative Autoencoders in Python -- A Benchmarking Use Case Clément Chadebec Louis J. Vincent S. Allassonnière DRL 39 29 0 16 Jun 2022
AUTM Flow: Atomic Unrestricted Time Machine for Monotonic Normalizing Flows Difeng Cai Yuliang Ji Huan He Qiang Ye Yuanzhe Xi TPM 36 4 0 05 Jun 2022
Towards Improving the Generation Quality of Autoregressive Slot VAEs Patrick Emami Pan He Sanjay Ranka Anand Rangarajan OCL 38 1 0 03 Jun 2022
SIReN-VAE: Leveraging Flows and Amortized Inference for Bayesian Networks Jacobie Mouton Steve Kroon DRL BDL 26 0 0 23 Apr 2022
CaDeX: Learning Canonical Deformation Coordinate Space for Dynamic Surface Representation via Neural Homeomorphism Jiahui Lei Kostas Daniilidis 46 54 0 30 Mar 2022
Gransformer: Transformer-based Graph Generation Ahmad Khajenezhad Seyed Ali Osia Mahmood Karimian H. Beigy 27 2 0 25 Mar 2022