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Neural Spline Flows
v1v2 (latest)

Neural Spline Flows

Neural Information Processing Systems (NeurIPS), 2019
10 June 2019
Conor Durkan
Artur Bekasov
Iain Murray
George Papamakarios
    DRL
ArXiv (abs)PDFHTML

Papers citing "Neural Spline Flows"

50 / 532 papers shown
Amortized Inference of Multi-Modal Posteriors using Likelihood-Weighted Normalizing Flows
Amortized Inference of Multi-Modal Posteriors using Likelihood-Weighted Normalizing Flows
Rajneil Baruah
156
0
0
04 Dec 2025
Flexible Gravitational-Wave Parameter Estimation with Transformers
Flexible Gravitational-Wave Parameter Estimation with Transformers
Annalena Kofler
Maximilian Dax
Stephen R. Green
J. Wildberger
N. Gupte
Jakob H. Macke
J. Gair
A. Buonanno
Bernhard Scholkopf
113
2
0
02 Dec 2025
Uncertainty Quantification for Deep Regression using Contextualised Normalizing Flows
Uncertainty Quantification for Deep Regression using Contextualised Normalizing Flows
Adriel Sosa Marco
John Daniel Kirwan
Alexia Toumpa
Simos Gerasimou
UQCVBDL
353
1
0
30 Nov 2025
Generative Models for Crystalline Materials
Generative Models for Crystalline Materials
Houssam Metni
Laura Ruple
Lauren N. Walters
Luca Torresi
Jonas Teufel
...
Paul Link
Lukas Bär
Mariana Petrova
Gerbrand Ceder
Pascal Friederich
AI4CE
242
0
0
27 Nov 2025
A First Full Physics Benchmark for Highly Granular Calorimeter Surrogates
A First Full Physics Benchmark for Highly Granular Calorimeter Surrogates
Thorsten Buss
Henry Day-Hall
F. Gaede
Gregor Kasieczka
K. Krüger
A. Korol
Thomas Madlener
Peter McKeown
DiffMAI4CE
204
4
0
21 Nov 2025
CroTad: A Contrastive Reinforcement Learning Framework for Online Trajectory Anomaly Detection
CroTad: A Contrastive Reinforcement Learning Framework for Online Trajectory Anomaly Detection
Rui Xue
Dan He
Fengmei Jin
Chen Zhang
Xiaofang Zhou
116
0
0
21 Nov 2025
Simplex-FEM Networks (SiFEN): Learning A Triangulated Function Approximator
Simplex-FEM Networks (SiFEN): Learning A Triangulated Function Approximator
Chaymae Yahyati
Ismail Lamaakal
Khalid El Makkaoui
Ibrahim Ouahbi
Yassine Maleh
163
0
0
06 Nov 2025
Causal Ordering for Structure Learning from Time Series
Causal Ordering for Structure Learning from Time Series
Pedro Sanchez
Damian Machlanski
Steven McDonagh
Sotirios A. Tsaftaris
CMLAI4TS
445
1
0
28 Oct 2025
Solving Continuous Mean Field Games: Deep Reinforcement Learning for Non-Stationary Dynamics
Solving Continuous Mean Field Games: Deep Reinforcement Learning for Non-Stationary Dynamics
Lorenzo Magnino
Kai Shao
Zida Wu
Jiacheng Shen
Mathieu Laurière
AI4CE
164
3
0
25 Oct 2025
Neural Mutual Information Estimation with Vector Copulas
Neural Mutual Information Estimation with Vector Copulas
Yanzhi Chen
Zijing Ou
Adrian Weller
Michael U. Gutmann
193
2
0
23 Oct 2025
Learning Boltzmann Generators via Constrained Mass Transport
Learning Boltzmann Generators via Constrained Mass Transport
Christopher von Klitzing
Denis Blessing
Henrik Schopmans
Pascal Friederich
Gerhard Neumann
OT
422
3
0
21 Oct 2025
Matricial Free Energy as a Gaussianizing Regularizer: Enhancing Autoencoders for Gaussian Code Generation
Matricial Free Energy as a Gaussianizing Regularizer: Enhancing Autoencoders for Gaussian Code Generation
Rishi Sonthalia
Raj Rao Nadakuditi
133
0
0
20 Oct 2025
Estimating Orbital Parameters of Direct Imaging Exoplanet Using Neural Network
Estimating Orbital Parameters of Direct Imaging Exoplanet Using Neural Network
Bo Liang
Hanlin Song
Chang Liu
Tianyu Zhao
Yuxiang Xu
...
Minghui Du
Wei-Liang Qian
Li-e Qiang
Peng Xu
Ziren Luo
301
0
0
20 Oct 2025
Adapting Noise to Data: Generative Flows from 1D Processes
Adapting Noise to Data: Generative Flows from 1D Processes
Jannis Chemseddine
Gregor Kornhardt
Richard Duong
Gabriele Steidl
DiffMAI4CE
312
0
0
14 Oct 2025
Who Stole Your Data? A Method for Detecting Unauthorized RAG Theft
Who Stole Your Data? A Method for Detecting Unauthorized RAG Theft
Peiyang Liu
Ziqiang Cui
Di Liang
Wei Ye
173
1
0
09 Oct 2025
metabeta -- A fast neural model for Bayesian mixed-effects regression
metabeta -- A fast neural model for Bayesian mixed-effects regression
Alex Kipnis
Marcel Binz
Eric Schulz
BDL
180
0
0
08 Oct 2025
Population synthesis with geographic coordinates
Population synthesis with geographic coordinates
Jacopo Lenti
Lorenzo Costantini
Ariadna Fosch
Anna Monticelli
David Scala
Marco Pangallo
121
0
0
08 Oct 2025
Fisher-Bingham-like normalizing flows on the sphere
Fisher-Bingham-like normalizing flows on the sphere
Thorsten Glüsenkamp
149
0
0
06 Oct 2025
Scalable Boltzmann Generators for equilibrium sampling of large-scale materials
Scalable Boltzmann Generators for equilibrium sampling of large-scale materials
Maximilian Schebek
Frank Noé
Jutta Rogal
264
6
0
29 Sep 2025
Impute-MACFM: Imputation based on Mask-Aware Flow Matching
Impute-MACFM: Imputation based on Mask-Aware Flow Matching
Dengyi Liu
Honggang Wang
Hua Fang
192
0
0
27 Sep 2025
Flow Matching for Robust Simulation-Based Inference under Model Misspecification
Flow Matching for Robust Simulation-Based Inference under Model Misspecification
Pierre-Louis Ruhlmann
Pedro L. C. Rodrigues
Michael Arbel
Florence Forbes
429
1
0
27 Sep 2025
GDR-learners: Orthogonal Learning of Generative Models for Potential Outcomes
GDR-learners: Orthogonal Learning of Generative Models for Potential Outcomes
Valentyn Melnychuk
Stefan Feuerriegel
132
0
0
26 Sep 2025
Normalizing Flows are Capable Models for Bi-manual Visuomotor Policy
Normalizing Flows are Capable Models for Bi-manual Visuomotor Policy
Simon Kristoffersson Lind
Jialong Li
Maj Stenmark
Volker Kruger
Volker Krüger
256
2
0
25 Sep 2025
Practical do-Shapley Explanations with Estimand-Agnostic Causal Inference
Practical do-Shapley Explanations with Estimand-Agnostic Causal Inference
Álvaro Parafita
Tomas Garriga
Axel Brando
Francisco J. Cazorla
FAttCML
407
2
0
24 Sep 2025
Synth-MIA: A Testbed for Auditing Privacy Leakage in Tabular Data Synthesis
Synth-MIA: A Testbed for Auditing Privacy Leakage in Tabular Data Synthesis
Joshua Ward
Xiaofeng Lin
Chi-Hua Wang
Guang Cheng
191
6
0
22 Sep 2025
Causal Discovery via Quantile Partial Effect
Causal Discovery via Quantile Partial Effect
Yikang Chen
Xingzhe Sun
Dehui Du
CML
191
0
0
16 Sep 2025
In situ estimation of the acoustic surface impedance using simulation-based inference
In situ estimation of the acoustic surface impedance using simulation-based inference
Jonas M. Schmid
Johannes D. Schmid
Martin Eser
Steffen Marburg
145
2
0
10 Sep 2025
Synthetic Survival Data Generation for Heart Failure Prognosis Using Deep Generative Models
Synthetic Survival Data Generation for Heart Failure Prognosis Using Deep Generative Models
Chanon Puttanawarut
Natcha Fongsrisin
Porntep Amornritvanich
Panu Looareesuwan
Cholatid Ratanatharathorn
165
1
0
04 Sep 2025
Ensembling Membership Inference Attacks Against Tabular Generative Models
Ensembling Membership Inference Attacks Against Tabular Generative Models
Joshua Ward
Yuxuan Yang
Chi-Hua Wang
Guang Cheng
157
2
0
02 Sep 2025
VarDiU: A Variational Diffusive Upper Bound for One-Step Diffusion Distillation
VarDiU: A Variational Diffusive Upper Bound for One-Step Diffusion Distillation
Leyang Wang
Mingtian Zhang
Chinmay Pani
David Barber
DiffM
225
2
0
28 Aug 2025
Privacy Auditing Synthetic Data Release through Local Likelihood Attacks
Privacy Auditing Synthetic Data Release through Local Likelihood Attacks
Joshua Ward
Chi-Hua Wang
Guang Cheng
160
3
0
28 Aug 2025
Improving the Accuracy of Amortized Model Comparison with Self-Consistency
Improving the Accuracy of Amortized Model Comparison with Self-Consistency
Šimon Kucharský
Aayush Mishra
Daniel Habermann
Stefan T. Radev
Paul-Christian Bürkner
222
1
0
28 Aug 2025
Conditional Normalizing Flow Surrogate for Monte Carlo Prediction of Radiative Properties in Nanoparticle-Embedded Layers
Conditional Normalizing Flow Surrogate for Monte Carlo Prediction of Radiative Properties in Nanoparticle-Embedded Layers
Fahime Seyedheydari
Kevin Conley
Simo Särkkä
AI4CE
148
0
0
27 Aug 2025
Fractal Flow: Hierarchical and Interpretable Normalizing Flow via Topic Modeling and Recursive Strategy
Fractal Flow: Hierarchical and Interpretable Normalizing Flow via Topic Modeling and Recursive Strategy
Binhui Zhang
Jianwei Ma
TPMBDLAI4CE
311
0
0
27 Aug 2025
On Surjectivity of Neural Networks: Can you elicit any behavior from your model?
On Surjectivity of Neural Networks: Can you elicit any behavior from your model?
Haozhe Jiang
Nika Haghtalab
284
3
0
26 Aug 2025
Amortized Sampling with Transferable Normalizing Flows
Amortized Sampling with Transferable Normalizing Flows
Charlie Tan
Majdi Hassan
Leon Klein
Saifuddin Syed
Dominique Beaini
Michael Bronstein
Alexander Tong
Kirill Neklyudov
398
11
0
25 Aug 2025
TabResFlow: A Normalizing Spline Flow Model for Probabilistic Univariate Tabular Regression
TabResFlow: A Normalizing Spline Flow Model for Probabilistic Univariate Tabular Regression
Kiran Madhusudhanan
Vijaya Krishna Yalavarthi
Jonas Sonntag
Ilia Koloiarov
Lars Schmidt-Thieme
168
0
0
23 Aug 2025
Simulation-Based Inference: A Practical Guide
Simulation-Based Inference: A Practical Guide
Michael Deistler
Jan Boelts
Peter Steinbach
Guy Moss
Thomas Moreau
...
Benjamin Kurt Miller
P. J. Gonçalves
Jan-Matthis Lueckmann
Cornelius Schroder
Jakob H Macke
285
17
0
18 Aug 2025
Discovery Learning accelerates battery design evaluation
Discovery Learning accelerates battery design evaluation
Jiawei Zhang
Yifei Zhang
Baozhao Yi
Yao Ren
Qi Jiao
Hanyu Bai
Weiran Jiang
Ziyou Song
211
0
0
09 Aug 2025
Time-reversed Flow Matching with Worst Transport in High-dimensional Latent Space for Image Anomaly Detection
Time-reversed Flow Matching with Worst Transport in High-dimensional Latent Space for Image Anomaly Detection
Liangwei Li
Lin Liu
Juanxiu Liu
Jing Zhang
Ruqian Hao
Xiaohui Du
Xiaohui Du
Yong Liu
Pan Li
OOD
151
1
0
07 Aug 2025
Flow IV: Counterfactual Inference In Nonseparable Outcome Models Using Instrumental Variables
Flow IV: Counterfactual Inference In Nonseparable Outcome Models Using Instrumental Variables
Marc Braun
Jose M. Pena
Adel Daoud
CML
211
0
0
02 Aug 2025
Set-based Implicit Likelihood Inference of Galaxy Cluster Mass
Set-based Implicit Likelihood Inference of Galaxy Cluster Mass
Bonny Y. Wang
Leander Thiele
187
1
0
27 Jul 2025
Recent Advances in Simulation-based Inference for Gravitational Wave Data Analysis
Recent Advances in Simulation-based Inference for Gravitational Wave Data Analysis
Bo-Hua Liang
He Wang
396
3
0
15 Jul 2025
Learning Individual Reproductive Behavior from Aggregate Fertility Rates via Neural Posterior Estimation
Learning Individual Reproductive Behavior from Aggregate Fertility Rates via Neural Posterior Estimation
Daniel Ciganda
Ignacio Campón
Iñaki Permanyer
Jakob H Macke
CML
204
1
0
27 Jun 2025
On Convolutions, Intrinsic Dimension, and Diffusion Models
On Convolutions, Intrinsic Dimension, and Diffusion Models
Kin Kwan Leung
Rasa Hosseinzadeh
Gabriel Loaiza-Ganem
DiffM
196
0
0
25 Jun 2025
Flow based approach for Dynamic Temporal Causal models with non-Gaussian or Heteroscedastic Noises
Flow based approach for Dynamic Temporal Causal models with non-Gaussian or Heteroscedastic Noises
Abdellah Rahmani
P. Frossard
AI4TSCML
314
0
0
20 Jun 2025
Data-Agnostic Cardinality Learning from Imperfect Workloads
Data-Agnostic Cardinality Learning from Imperfect WorkloadsProceedings of the VLDB Endowment (PVLDB), 2025
Peizhi Wu
Rong Kang
Tieying Zhang
Jianjun Chen
Ryan Marcus
Z. Ives
140
1
0
19 Jun 2025
Inherited or produced? Inferring protein production kinetics when protein counts are shaped by a cell's division history
Inherited or produced? Inferring protein production kinetics when protein counts are shaped by a cell's division history
Pedro Pessoa
Juan Andres Martinez
Vincent Vandenbroucke
Frank Delvigne
Steve Pressé
392
0
0
11 Jun 2025
Multilevel neural simulation-based inference
Multilevel neural simulation-based inference
Yuga Hikida
Ayush Bharti
Niall Jeffrey
F. Briol
458
6
0
06 Jun 2025
Variational Transdimensional Inference
Variational Transdimensional Inference
Laurence Davies
Dan Mackinlay
Rafael Oliveira
Scott A. Sisson
DRLBDL
533
0
0
05 Jun 2025
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