ResearchTrend.AI
  • Communities
  • Connect sessions
  • AI calendar
  • Organizations
  • Join Slack
  • Contact Sales
Papers
Communities
Social Events
Terms and Conditions
Pricing
Contact Sales
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2026 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 1808.08271
  4. Cited By
An elementary introduction to information geometry
v1v2 (latest)

An elementary introduction to information geometry

17 August 2018
Frank Nielsen
    3DGS
ArXiv (abs)PDFHTML

Papers citing "An elementary introduction to information geometry"

50 / 77 papers shown
A Multiscale Geometric Method for Capturing Relational Topic Alignment
A Multiscale Geometric Method for Capturing Relational Topic Alignment
C. Hougen
Karl T. Pazdernik
Alfred Hero
37
0
0
21 Nov 2025
AMiD: Knowledge Distillation for LLMs with $α$-mixture Assistant Distribution
AMiD: Knowledge Distillation for LLMs with ααα-mixture Assistant Distribution
DongHyeok Shin
Yeongmin Kim
Suhyeon Jo
Byeonghu Na
Il-Chul Moon
190
1
0
13 Oct 2025
Two tales for a geometric Jensen--Shannon divergence
Two tales for a geometric Jensen--Shannon divergence
Frank Nielsen
273
2
0
07 Aug 2025
Near-Optimal Clustering in Mixture of Markov Chains
Near-Optimal Clustering in Mixture of Markov Chains
Junghyun Lee
Yassir Jedra
Alexandre Proutière
Se-Young Yun
342
2
0
02 Jun 2025
Foundations of Top-$k$ Decoding For Language Models
Foundations of Top-kkk Decoding For Language Models
Georgy Noarov
Soham Mallick
Tao Wang
Sunay Joshi
Yan Sun
Yangxinyu Xie
Mengxin Yu
Edgar Dobriban
352
9
0
25 May 2025
The Spacetime of Diffusion Models: An Information Geometry Perspective
The Spacetime of Diffusion Models: An Information Geometry Perspective
Rafał Karczewski
Markus Heinonen
Alison Pouplin
Søren Hauberg
Vikas Garg
DiffM
370
1
0
23 May 2025
Does Low Rank Adaptation Lead to Lower Robustness against Training-Time Attacks?
Does Low Rank Adaptation Lead to Lower Robustness against Training-Time Attacks?
Zi Liang
Haibo Hu
Qingqing Ye
Yaxin Xiao
Ronghua Li
AAML
533
5
0
19 May 2025
Variational Formulation of Particle Flow
Variational Formulation of Particle Flow
Yinzhuang Yi
Jorge Cortés
Nikolay Atanasov
307
0
0
06 May 2025
SPD Matrix Learning for Neuroimaging Analysis: Perspectives, Methods, and Challenges
SPD Matrix Learning for Neuroimaging Analysis: Perspectives, Methods, and Challenges
Ce Ju
Reinmar J. Kobler
Antoine Collas
M. Kawanabe
Cuntai Guan
Bertrand Thirion
453
0
0
26 Apr 2025
Squared families: Searching beyond regular probability models
Squared families: Searching beyond regular probability models
Russell Tsuchida
Jiawei Liu
Cheng Soon Ong
Dino Sejdinovic
294
1
0
27 Mar 2025
All Roads Lead to Likelihood: The Value of Reinforcement Learning in Fine-Tuning
All Roads Lead to Likelihood: The Value of Reinforcement Learning in Fine-Tuning
Gokul Swamy
Sanjiban Choudhury
Wen Sun
Zhiwei Steven Wu
J. Andrew Bagnell
OffRL
487
52
0
03 Mar 2025
Learning to Assist Humans without Inferring Rewards
Learning to Assist Humans without Inferring RewardsNeural Information Processing Systems (NeurIPS), 2024
Vivek Myers
Evan Ellis
Sergey Levine
Benjamin Eysenbach
Anca Dragan
726
12
0
17 Jan 2025
Wasserstein Flow Matching: Generative modeling over families of distributions
Wasserstein Flow Matching: Generative modeling over families of distributions
Doron Haviv
Aram-Alexandre Pooladian
Dana Peér
Brandon Amos
OOD
535
22
0
01 Nov 2024
New divergence measures between persistence diagrams and stability of
  vectorizations
New divergence measures between persistence diagrams and stability of vectorizations
A. Bravetti
Martin Mijangos
P. Padilla
145
0
0
04 Oct 2024
Cartan moving frames and the data manifolds
Cartan moving frames and the data manifoldsInformation Geometry (IG), 2024
Eliot Tron
Rita Fioresi
Nicolas Couellan
Stéphane Puechmorel
202
3
0
18 Sep 2024
Symplectic Bregman divergences
Symplectic Bregman divergencesEntropy (Entropy), 2024
Frank Nielsen
296
1
0
23 Aug 2024
Bayesian RG Flow in Neural Network Field Theories
Bayesian RG Flow in Neural Network Field Theories
Jessica N. Howard
Marc S. Klinger
Anindita Maiti
A. G. Stapleton
478
8
0
27 May 2024
Fisher Flow Matching for Generative Modeling over Discrete Data
Fisher Flow Matching for Generative Modeling over Discrete DataNeural Information Processing Systems (NeurIPS), 2024
Oscar Davis
Samuel Kessler
Mircea Petrache
.Ismail .Ilkan Ceylan
Michael M. Bronstein
A. Bose
655
49
0
23 May 2024
Sequential transport maps using SoS density estimation and
  $α$-divergences
Sequential transport maps using SoS density estimation and ααα-divergences
Benjamin Zanger
Tiangang Cui
Martin Schreiber
O. Zahm
295
2
0
27 Feb 2024
NCoder -- A Quantum Field Theory approach to encoding data
NCoder -- A Quantum Field Theory approach to encoding data
David S. Berman
Marc S. Klinger
A. G. Stapleton
AI4CE
392
5
0
01 Feb 2024
Families of costs with zero and nonnegative MTW tensor in optimal transport and the c-divergences
Families of costs with zero and nonnegative MTW tensor in optimal transport and the c-divergencesInformation Geometry (IG), 2024
Du Nguyen
OT
200
0
0
01 Jan 2024
Divergences induced by dual subtractive and divisive normalizations of
  exponential families and their convex deformations
Divergences induced by dual subtractive and divisive normalizations of exponential families and their convex deformations
Frank Nielsen
292
3
0
20 Dec 2023
Information geometry and $α$-parallel prior of the beta-logistic
  distribution
Information geometry and ααα-parallel prior of the beta-logistic distribution
Lin Jiu
Linyu Peng
190
0
0
17 Dec 2023
Improved Regret Bounds of (Multinomial) Logistic Bandits via
  Regret-to-Confidence-Set Conversion
Improved Regret Bounds of (Multinomial) Logistic Bandits via Regret-to-Confidence-Set ConversionInternational Conference on Artificial Intelligence and Statistics (AISTATS), 2023
Junghyun Lee
Se-Young Yun
Kwang-Sung Jun
471
22
0
28 Oct 2023
Information Geometry for the Working Information Theorist
Information Geometry for the Working Information Theorist
Kumar Vijay
Ashok Kumar
Ieee Ting-Kam Leonard Member
AI4CE
229
3
0
05 Oct 2023
Language Model Decoding as Direct Metrics Optimization
Language Model Decoding as Direct Metrics OptimizationInternational Conference on Learning Representations (ICLR), 2023
Haozhe Ji
Pei Ke
Hongning Wang
Shiyu Huang
392
8
0
02 Oct 2023
The Fisher-Rao geometry of CES distributions
The Fisher-Rao geometry of CES distributions
Florent Bouchard
A. Breloy
Antoine Collas
Alexandre Renaux
G. Ginolhac
287
7
0
02 Oct 2023
Spherical and Hyperbolic Toric Topology-Based Codes On Graph Embedding
  for Ising MRF Models: Classical and Quantum Topology Machine Learning
Spherical and Hyperbolic Toric Topology-Based Codes On Graph Embedding for Ising MRF Models: Classical and Quantum Topology Machine Learning
V. Usatyuk
Sergey Egorov
Denis Sapozhnikov
383
3
0
28 Jul 2023
Geometry in global coordinates in mechanics and optimal transport
Geometry in global coordinates in mechanics and optimal transport
Du Nguyen
OT
159
1
0
19 Jul 2023
Asymptotically Optimal Pure Exploration for Infinite-Armed Bandits
Asymptotically Optimal Pure Exploration for Infinite-Armed Bandits
Evelyn Xiao-Yue Gong
Mark Sellke
284
1
0
03 Jun 2023
The Fisher Geometry and Geodesics of the Multivariate Normals, without
  Differential Geometry
The Fisher Geometry and Geodesics of the Multivariate Normals, without Differential Geometry
Brodie A. J. Lawson
K. Burrage
Kerrie Mengersen
R. D. Santos
142
1
0
02 Jun 2023
Neural FIM for learning Fisher Information Metrics from point cloud data
Neural FIM for learning Fisher Information Metrics from point cloud dataInternational Conference on Machine Learning (ICML), 2023
O. Fasina
Guilluame Huguet
Alexander Tong
Yanlei Zhang
Guy Wolf
Maximilian Nickel
Ian M. Adelstein
Smita Krishnaswamy
264
4
0
01 Jun 2023
Bayesian Renormalization
Bayesian Renormalization
D. Berman
Marc S. Klinger
A. G. Stapleton
412
24
0
17 May 2023
On Closed-Form Expressions for the Fisher-Rao Distance
On Closed-Form Expressions for the Fisher-Rao Distance
Henrique K. Miyamoto
Fábio C. C. Meneghetti
Julianna Pinele
Sueli I. R. Costa
317
27
0
28 Apr 2023
Playing it safe: information constrains collective betting strategies
Playing it safe: information constrains collective betting strategies
P. Fleig
V. Balasubramanian
211
0
0
18 Apr 2023
Codivergences and information matrices
Codivergences and information matricesInformation Geometry (IG), 2023
A. Derumigny
Johannes Schmidt-Hieber
406
1
0
14 Mar 2023
Towards Optimal Compression: Joint Pruning and Quantization
Towards Optimal Compression: Joint Pruning and Quantization
Ben Zandonati
Glenn Bucagu
Adrian Alan Pol
M. Pierini
Olya Sirkin
Tal Kopetz
MQ
411
7
0
15 Feb 2023
Phase2vec: Dynamical systems embedding with a physics-informed
  convolutional network
Phase2vec: Dynamical systems embedding with a physics-informed convolutional networkInternational Conference on Learning Representations (ICLR), 2022
Matthew Ricci
Noa Moriel
Zoe Piran
Mor Nitzan
AI4CE
338
6
0
07 Dec 2022
Properties of the Concrete distribution
Properties of the Concrete distribution
D. D. Chow
190
0
0
02 Nov 2022
Loss Minimization through the Lens of Outcome Indistinguishability
Loss Minimization through the Lens of Outcome IndistinguishabilityInformation Technology Convergence and Services (ITCS), 2022
Parikshit Gopalan
Lunjia Hu
Michael P. Kim
Omer Reingold
Udi Wieder
UQCV
302
59
0
16 Oct 2022
FIT: A Metric for Model Sensitivity
FIT: A Metric for Model SensitivityInternational Conference on Learning Representations (ICLR), 2022
Ben Zandonati
Adrian Alan Pol
M. Pierini
Olya Sirkin
Tal Kopetz
MQ
376
11
0
16 Oct 2022
Variational Representations of Annealing Paths: Bregman Information
  under Monotonic Embedding
Variational Representations of Annealing Paths: Bregman Information under Monotonic EmbeddingInformation Geometry (IG), 2022
Rob Brekelmans
Frank Nielsen
316
3
0
15 Sep 2022
Turning the information-sharing dial: efficient inference from different
  data sources
Turning the information-sharing dial: efficient inference from different data sourcesElectronic Journal of Statistics (EJS), 2022
Emily C. Hector
Ryan Martin
365
9
0
18 Jul 2022
Unsupervised Learning Discriminative MIG Detectors in Nonhomogeneous
  Clutter
Unsupervised Learning Discriminative MIG Detectors in Nonhomogeneous ClutterIEEE Transactions on Communications (IEEE Trans. Commun.), 2022
Xiaoqiang Hua
Yusuke Ono
Linyu Peng
Yuting Xu
201
31
0
24 Apr 2022
On the Kullback-Leibler divergence between pairwise isotropic
  Gaussian-Markov random fields
On the Kullback-Leibler divergence between pairwise isotropic Gaussian-Markov random fieldsSocial Science Research Network (SSRN), 2022
A. Levada
92
2
0
24 Mar 2022
Geometric Methods for Sampling, Optimisation, Inference and Adaptive
  Agents
Geometric Methods for Sampling, Optimisation, Inference and Adaptive Agents
Alessandro Barp
Lancelot Da Costa
G. Francca
Karl J. Friston
Mark Girolami
Michael I. Jordan
G. Pavliotis
434
27
0
20 Mar 2022
A Class of Geometric Structures in Transfer Learning: Minimax Bounds and
  Optimality
A Class of Geometric Structures in Transfer Learning: Minimax Bounds and OptimalityInternational Conference on Artificial Intelligence and Statistics (AISTATS), 2022
Xuhui Zhang
Jose H. Blanchet
Soumyadip Ghosh
M. Squillante
224
10
0
23 Feb 2022
On a prior based on the Wasserstein information matrix
On a prior based on the Wasserstein information matrix
W. Li
F. Rubio
202
5
0
07 Feb 2022
Designing Universal Causal Deep Learning Models: The Geometric
  (Hyper)Transformer
Designing Universal Causal Deep Learning Models: The Geometric (Hyper)TransformerMathematical Finance (Math. Finance), 2022
Beatrice Acciaio
Anastasis Kratsios
G. Pammer
OOD
492
32
0
31 Jan 2022
Merging Models with Fisher-Weighted Averaging
Merging Models with Fisher-Weighted Averaging
Michael Matena
Colin Raffel
FedMLMoMe
701
582
0
18 Nov 2021
12
Next
Page 1 of 2