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Neuropathic Pain Diagnosis Simulator for Causal Discovery Algorithm
  Evaluation
v1v2v3 (latest)

Neuropathic Pain Diagnosis Simulator for Causal Discovery Algorithm Evaluation

Neural Information Processing Systems (NeurIPS), 2019
4 June 2019
Ruibo Tu
Kun Zhang
Bo Christer Bertilson
Hedvig Kjellström
Cheng Zhang
    OODCML
ArXiv (abs)PDFHTML

Papers citing "Neuropathic Pain Diagnosis Simulator for Causal Discovery Algorithm Evaluation"

31 / 31 papers shown
How Well Do LLMs Understand Drug Mechanisms? A Knowledge + Reasoning Evaluation Dataset
How Well Do LLMs Understand Drug Mechanisms? A Knowledge + Reasoning Evaluation Dataset
Sunil Mohan
Theofanis Karaletsos
100
0
0
09 Nov 2025
Realizing LLMs' Causal Potential Requires Science-Grounded, Novel Benchmarks
Realizing LLMs' Causal Potential Requires Science-Grounded, Novel Benchmarks
Ashutosh Srivastava
Lokesh Nagalapatti
Gautam Jajoo
Aniket Vashishtha
Parameswari Krishnamurthy
Amit Sharma
CML
179
0
0
18 Oct 2025
The Robustness of Differentiable Causal Discovery in Misspecified Scenarios
The Robustness of Differentiable Causal Discovery in Misspecified ScenariosInternational Conference on Learning Representations (ICLR), 2025
Huiyang Yi
Yanyan He
Duxin Chen
Mingyu Kang
He Wang
Wenwu Yu
OODCML
170
0
0
14 Oct 2025
Revealing Multimodal Causality with Large Language Models
Revealing Multimodal Causality with Large Language Models
Jin Li
Shoujin Wang
Qi Zhang
Feng Liu
Tongliang Liu
LongBing Cao
Shui Yu
F. Chen
184
0
0
22 Sep 2025
Think Global, Act Local: Bayesian Causal Discovery with Language Models in Sequential Data
Think Global, Act Local: Bayesian Causal Discovery with Language Models in Sequential Data
Prakhar Verma
David Arbour
Sunav Choudhary
Harshita Chopra
Arno Solin
Atanu R. Sinha
218
0
0
19 Jun 2025
Uncovering Bias Paths with LLM-guided Causal Discovery: An Active Learning and Dynamic Scoring Approach
Uncovering Bias Paths with LLM-guided Causal Discovery: An Active Learning and Dynamic Scoring Approach
Khadija Zanna
Akane Sano
142
0
0
13 Jun 2025
CausalRivers -- Scaling up benchmarking of causal discovery for real-world time-series
CausalRivers -- Scaling up benchmarking of causal discovery for real-world time-seriesInternational Conference on Learning Representations (ICLR), 2025
Gideon Stein
M. Shadaydeh
Jan Blunk
Niklas Penzel
Joachim Denzler
AI4TS
286
6
0
21 Mar 2025
IGDA: Interactive Graph Discovery through Large Language Model Agents
IGDA: Interactive Graph Discovery through Large Language Model Agents
Alex Havrilla
David Alvarez-Melis
Nicolò Fusi
AI4CE
311
2
0
24 Feb 2025
CausalMan: A physics-based simulator for large-scale causality
CausalMan: A physics-based simulator for large-scale causality
Nicholas Tagliapietra
J. Luettin
Lavdim Halilaj
Moritz Willig
Tim Pychynski
Kristian Kersting
CML
389
0
0
18 Feb 2025
Exploring Multi-Modal Data with Tool-Augmented LLM Agents for Precise Causal Discovery
Exploring Multi-Modal Data with Tool-Augmented LLM Agents for Precise Causal DiscoveryAnnual Meeting of the Association for Computational Linguistics (ACL), 2024
ChengAo Shen
Zhe Chen
Dongsheng Luo
Dongkuan Xu
Haifeng Chen
Jingchao Ni
292
5
0
18 Dec 2024
Causal Inference with Large Language Model: A Survey
Causal Inference with Large Language Model: A SurveyNorth American Chapter of the Association for Computational Linguistics (NAACL), 2024
Jing Ma
CMLLRM
579
22
0
15 Sep 2024
A Critical Review of Causal Reasoning Benchmarks for Large Language
  Models
A Critical Review of Causal Reasoning Benchmarks for Large Language Models
Linying Yang
Vik Shirvaikar
Oscar Clivio
Fabian Falck
ELMLRM
214
9
0
10 Jul 2024
ALCM: Autonomous LLM-Augmented Causal Discovery Framework
ALCM: Autonomous LLM-Augmented Causal Discovery Framework
Elahe Khatibi
Mahyar Abbasian
Zhongqi Yang
Iman Azimi
Amir M. Rahmani
373
27
0
02 May 2024
Are LLMs Capable of Data-based Statistical and Causal Reasoning?
  Benchmarking Advanced Quantitative Reasoning with Data
Are LLMs Capable of Data-based Statistical and Causal Reasoning? Benchmarking Advanced Quantitative Reasoning with Data
Xiao Liu
Zirui Wu
Xueqing Wu
Pan Lu
Kai-Wei Chang
Yansong Feng
ELMLRM
335
62
0
27 Feb 2024
Federated Causal Discovery from Heterogeneous Data
Federated Causal Discovery from Heterogeneous Data
Loka Li
Ignavier Ng
Gongxu Luo
Erdun Gao
Guan-Hong Chen
Tongliang Liu
Bin Gu
Kun Zhang
FedML
297
10
0
20 Feb 2024
Discovering and Reasoning of Causality in the Hidden World with Large Language Models
Discovering and Reasoning of Causality in the Hidden World with Large Language Models
Chenxi Liu
Yongqiang Chen
Tongliang Liu
Biwei Huang
James Cheng
Bo Han
Kun Zhang
CML
337
19
0
06 Feb 2024
Efficient Causal Graph Discovery Using Large Language Models
Efficient Causal Graph Discovery Using Large Language Models
Thomas Jiralerspong
Xiaoyin Chen
Yash More
Vedant Shah
Yoshua Bengio
CML
347
43
0
02 Feb 2024
Robustness of Algorithms for Causal Structure Learning to Hyperparameter
  Choice
Robustness of Algorithms for Causal Structure Learning to Hyperparameter ChoiceCLEaR (CLEaR), 2023
Damian Machlanski
Spyridon Samothrakis
Paul Clarke
CML
243
3
0
27 Oct 2023
Causal Order: The Key to Leveraging Imperfect Experts in Causal Inference
Causal Order: The Key to Leveraging Imperfect Experts in Causal InferenceInternational Conference on Learning Representations (ICLR), 2023
Aniket Vashishtha
Abbavaram Gowtham Reddy
Abhinav Kumar
Saketh Bachu
Vineeth N. Balasubramanian
Amit Sharma
CML
242
46
0
23 Oct 2023
Understanding Breast Cancer Survival: Using Causality and Language
  Models on Multi-omics Data
Understanding Breast Cancer Survival: Using Causality and Language Models on Multi-omics Data
Mugariya Farooq
Shahad Hardan
Aigerim Zhumbhayeva
Yu Zheng
Preslav Nakov
Kun Zhang
CML
120
3
0
28 May 2023
Causal Reasoning and Large Language Models: Opening a New Frontier for
  Causality
Causal Reasoning and Large Language Models: Opening a New Frontier for Causality
Emre Kıcıman
Robert Osazuwa Ness
Amit Sharma
Chenhao Tan
LRMELM
544
381
0
28 Apr 2023
Emerging Synergies in Causality and Deep Generative Models: A Survey
Emerging Synergies in Causality and Deep Generative Models: A Survey
Guanglin Zhou
Shaoan Xie
Guang-Yuan Hao
Shiming Chen
Erdun Gao
Xiwei Xu
Chen Wang
Liming Zhu
Lina Yao
Kun Zhang
AI4CE
466
14
0
29 Jan 2023
Causal-Discovery Performance of ChatGPT in the context of Neuropathic
  Pain Diagnosis
Causal-Discovery Performance of ChatGPT in the context of Neuropathic Pain Diagnosis
Ruibo Tu
Chao Ma
Cheng Zhang
ELMCML
183
51
0
24 Jan 2023
A Survey of Deep Causal Models and Their Industrial Applications
A Survey of Deep Causal Models and Their Industrial ApplicationsArtificial Intelligence Review (Artif Intell Rev), 2022
Zongyu Li
Xiaoning Guo
Siwei Qiang
CMLAI4CE
557
16
0
19 Sep 2022
Simultaneous Missing Value Imputation and Structure Learning with Groups
Simultaneous Missing Value Imputation and Structure Learning with Groups
Pablo Morales-Álvarez
Wenbo Gong
A. Lamb
Simon Woodhead
Simon L. Peyton Jones
Nick Pawlowski
Miltiadis Allamanis
Cheng Zhang
263
19
0
15 Oct 2021
Improving Efficiency and Accuracy of Causal Discovery Using a
  Hierarchical Wrapper
Improving Efficiency and Accuracy of Causal Discovery Using a Hierarchical Wrapper
Shami Nisimov
Yaniv Gurwicz
R. Y. Rohekar
Gal Novik
CMLTPM
222
6
0
11 Jul 2021
Causally Constrained Data Synthesis for Private Data Release
Causally Constrained Data Synthesis for Private Data Release
Varun Chandrasekaran
Darren Edge
S. Jha
Amit Sharma
Cheng Zhang
Shruti Tople
SyDa
212
3
0
27 May 2021
Contextual HyperNetworks for Novel Feature Adaptation
Contextual HyperNetworks for Novel Feature Adaptation
A. Lamb
Evgeny S. Saveliev
Yingzhen Li
Sebastian Tschiatschek
Camilla Longden
Simon Woodhead
José Miguel Hernández-Lobato
Richard Turner
Pashmina Cameron
Cheng Zhang
OOD
145
6
0
12 Apr 2021
How and Why to Use Experimental Data to Evaluate Methods for
  Observational Causal Inference
How and Why to Use Experimental Data to Evaluate Methods for Observational Causal Inference
A. Gentzel
Purva Pruthi
David D. Jensen
CML
281
22
0
06 Oct 2020
A Causal View on Robustness of Neural Networks
A Causal View on Robustness of Neural NetworksNeural Information Processing Systems (NeurIPS), 2020
Cheng Zhang
Kun Zhang
Yingzhen Li
CMLOOD
475
95
0
03 May 2020
Causal Discovery in the Presence of Missing Data
Causal Discovery in the Presence of Missing Data
Ruibo Tu
Cheng Zhang
P. Ackermann
Bo Christer Bertilson
Clark Glymour
Hedvig Kjellström
Kun Zhang
CML
429
75
0
11 Jul 2018
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