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Aneesh Komanduri
Publication Activity (10 Years)
Years Active: 2021-2024
Publications (10 Years): 8
Top Topics
Hyper Graph
Question Answering
Convolutional Neural Networks
Causal Reasoning
Top Venues
CoRR
ICMLA
Trans. Mach. Learn. Res.
Big Data
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Publications
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Aneesh Komanduri
,
Chen Zhao
,
Feng Chen
,
Xintao Wu
Causal Diffusion Autoencoders: Toward Counterfactual Generation via Diffusion Probabilistic Models.
CoRR
(2024)
Aneesh Komanduri
,
Xintao Wu
,
Yongkai Wu
,
Feng Chen
From Identifiable Causal Representations to Controllable Counterfactual Generation: A Survey on Causal Generative Modeling.
Trans. Mach. Learn. Res.
2024 (2024)
Aneesh Komanduri
,
Xintao Wu
,
Yongkai Wu
,
Feng Chen
From Identifiable Causal Representations to Controllable Counterfactual Generation: A Survey on Causal Generative Modeling.
CoRR
(2023)
Aneesh Komanduri
,
Yongkai Wu
,
Feng Chen
,
Xintao Wu
Learning Causally Disentangled Representations via the Principle of Independent Causal Mechanisms.
CoRR
(2023)
Aneesh Komanduri
,
Yongkai Wu
,
Wen Huang
,
Feng Chen
,
Xintao Wu
SCM-VAE: Learning Identifiable Causal Representations via Structural Knowledge.
Big Data
(2022)
Kate Pearce
,
Tiffany Zhan
,
Aneesh Komanduri
,
Justin Zhan
A Comparative Study of Transformer-Based Language Models on Extractive Question Answering.
CoRR
(2021)
Aneesh Komanduri
,
Justin Zhan
Neighborhood Random Walk Graph Sampling for Regularized Bayesian Graph Convolutional Neural Networks.
ICMLA
(2021)
Aneesh Komanduri
,
Justin Zhan
Neighborhood Random Walk Graph Sampling for Regularized Bayesian Graph Convolutional Neural Networks.
CoRR
(2021)