Does Unsupervised Domain Adaptation Improve the Robustness of Amortized Bayesian Inference? A Systematic Evaluation | Paper Citation Record

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This paper cites Analyzing Inverse Problems with Invertible Neural Networks.

Does Unsupervised Domain Adaptation Improve the Robustness of Amortized Bayesian Inference? A Systematic Evaluation Analyzing Inverse Problems with Invertible Neural Networks

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This paper cites u th, Niels Bracher, Carsten Rother, and Ullrich K \.

Does Unsupervised Domain Adaptation Improve the Robustness of Amortized Bayesian Inference? A Systematic Evaluation u th, Niels Bracher, Carsten Rother, and Ullrich K \

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This paper cites Neural networks enable efficient and accurate simulation-based inference of evolutionary parameters from adaptation dynamics.

Does Unsupervised Domain Adaptation Improve the Robustness of Amortized Bayesian Inference? A Systematic Evaluation Neural networks enable efficient and accurate simulation-based inference of evolutionary parameters from adaptation dynamics

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This paper cites Analysis of representations for domain adaptation.

Does Unsupervised Domain Adaptation Improve the Robustness of Amortized Bayesian Inference? A Systematic Evaluation Analysis of representations for domain adaptation

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This paper cites A theory of learning from different domains.

Does Unsupervised Domain Adaptation Improve the Robustness of Amortized Bayesian Inference? A Systematic Evaluation A theory of learning from different domains

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This paper cites Combined statistical-mechanistic modeling links ion channel genes to physiology of cortical neuron types.

Does Unsupervised Domain Adaptation Improve the Robustness of Amortized Bayesian Inference? A Systematic Evaluation Combined statistical-mechanistic modeling links ion channel genes to physiology of cortical neuron types

Reference 6

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This paper cites Calibrating Model-Based Inferences and Decisions.

Does Unsupervised Domain Adaptation Improve the Robustness of Amortized Bayesian Inference? A Systematic Evaluation Calibrating Model-Based Inferences and Decisions

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This paper cites A Practical Guide to Sample-based Statistical Distances for Evaluating Generative Models in Science.

Does Unsupervised Domain Adaptation Improve the Robustness of Amortized Bayesian Inference? A Systematic Evaluation A Practical Guide to Sample-based Statistical Distances for Evaluating Generative Models in Science

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This paper cites A general framework for updating belief distributions.

Does Unsupervised Domain Adaptation Improve the Robustness of Amortized Bayesian Inference? A Systematic Evaluation A general framework for updating belief distributions

Reference 9

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This paper cites Some models are useful, but how do we know which ones? towards a unified bayesian model taxonomy.

Does Unsupervised Domain Adaptation Improve the Robustness of Amortized Bayesian Inference? A Systematic Evaluation Some models are useful, but how do we know which ones? towards a unified bayesian model taxonomy

Reference 10

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This paper cites Investigating the Impact of Model Misspecification in Neural Simulation-based Inference.

Does Unsupervised Domain Adaptation Improve the Robustness of Amortized Bayesian Inference? A Systematic Evaluation Investigating the Impact of Model Misspecification in Neural Simulation-based Inference

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This paper cites Stan: A probabilistic programming language.

Does Unsupervised Domain Adaptation Improve the Robustness of Amortized Bayesian Inference? A Systematic Evaluation Stan: A probabilistic programming language

Reference 12

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This paper cites A likelihood-free inference framework for population genetic data using exchangeable neural networks.

Does Unsupervised Domain Adaptation Improve the Robustness of Amortized Bayesian Inference? A Systematic Evaluation A likelihood-free inference framework for population genetic data using exchangeable neural networks

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This paper cites Domain adaptation techniques for improved cross-domain study of galaxy mergers.

Does Unsupervised Domain Adaptation Improve the Robustness of Amortized Bayesian Inference? A Systematic Evaluation Domain adaptation techniques for improved cross-domain study of galaxy mergers

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Does Unsupervised Domain Adaptation Improve the Robustness of Amortized Bayesian Inference? A Systematic Evaluation Domain adaptation and sample bias correction theory and algorithm for regression

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This paper cites Elements of information theory.

Does Unsupervised Domain Adaptation Improve the Robustness of Amortized Bayesian Inference? A Systematic Evaluation Elements of information theory

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This paper cites The frontier of simulation-based inference.

Does Unsupervised Domain Adaptation Improve the Robustness of Amortized Bayesian Inference? A Systematic Evaluation The frontier of simulation-based inference

Reference 17

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This paper cites Simulation-based inference of single-molecule experiments.

Does Unsupervised Domain Adaptation Improve the Robustness of Amortized Bayesian Inference? A Systematic Evaluation Simulation-based inference of single-molecule experiments

Reference 18

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This paper cites u ller, Hans Olischl \.

Does Unsupervised Domain Adaptation Improve the Robustness of Amortized Bayesian Inference? A Systematic Evaluation u ller, Hans Olischl \

Reference 19

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This paper cites The Statistical Accuracy of Neural Posterior and Likelihood Estimation.

Does Unsupervised Domain Adaptation Improve the Robustness of Amortized Bayesian Inference? A Systematic Evaluation The Statistical Accuracy of Neural Posterior and Likelihood Estimation

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Does Unsupervised Domain Adaptation Improve the Robustness of Amortized Bayesian Inference? A Systematic Evaluation Domain-adversarial training of neural networks

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Does Unsupervised Domain Adaptation Improve the Robustness of Amortized Bayesian Inference? A Systematic Evaluation Generalized bayesian inference for scientific simulators via amortized cost estimation

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Does Unsupervised Domain Adaptation Improve the Robustness of Amortized Bayesian Inference? A Systematic Evaluation Amortized inference in probabilistic reasoning

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Does Unsupervised Domain Adaptation Improve the Robustness of Amortized Bayesian Inference? A Systematic Evaluation Variational methods for simulation-based inference

Reference 24

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Does Unsupervised Domain Adaptation Improve the Robustness of Amortized Bayesian Inference? A Systematic Evaluation Adversarial robustness of amortized Bayesian inference

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Does Unsupervised Domain Adaptation Improve the Robustness of Amortized Bayesian Inference? A Systematic Evaluation All-in-one simulation-based inference

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This paper cites Borgwardt, Malte Rasch, Bernhard Schölkopf, and AJ Smola.

Does Unsupervised Domain Adaptation Improve the Robustness of Amortized Bayesian Inference? A Systematic Evaluation Borgwardt, Malte Rasch, Bernhard Schölkopf, and AJ Smola

Reference 27

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This paper cites Likelihood-free mcmc with amortized approximate ratio estimators.

Does Unsupervised Domain Adaptation Improve the Robustness of Amortized Bayesian Inference? A Systematic Evaluation Likelihood-free mcmc with amortized approximate ratio estimators

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Does Unsupervised Domain Adaptation Improve the Robustness of Amortized Bayesian Inference? A Systematic Evaluation Learning robust statistics for simulation-based inference under model misspecification

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Does Unsupervised Domain Adaptation Improve the Robustness of Amortized Bayesian Inference? A Systematic Evaluation Robust statistics

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Does Unsupervised Domain Adaptation Improve the Robustness of Amortized Bayesian Inference? A Systematic Evaluation Unresolved cited work

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Does Unsupervised Domain Adaptation Improve the Robustness of Amortized Bayesian Inference? A Systematic Evaluation Support and invertibility in domain-invariant representations

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Does Unsupervised Domain Adaptation Improve the Robustness of Amortized Bayesian Inference? A Systematic Evaluation Misspecification-robust Sequential Neural Likelihood for Simulation-based Inference

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This paper cites Glow: Generative flow with invertible 1x1 convolutions.

Does Unsupervised Domain Adaptation Improve the Robustness of Amortized Bayesian Inference? A Systematic Evaluation Glow: Generative flow with invertible 1x1 convolutions

Reference 34

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This paper cites Lecun, L.

Does Unsupervised Domain Adaptation Improve the Robustness of Amortized Bayesian Inference? A Systematic Evaluation Lecun, L

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Does Unsupervised Domain Adaptation Improve the Robustness of Amortized Bayesian Inference? A Systematic Evaluation Unresolved cited work

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This paper cites Deep unsupervised domain adaptation: A review of recent advances and perspectives.

Does Unsupervised Domain Adaptation Improve the Robustness of Amortized Bayesian Inference? A Systematic Evaluation Deep unsupervised domain adaptation: A review of recent advances and perspectives

Reference 37

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This paper cites Learning transferable features with deep adaptation networks.

Does Unsupervised Domain Adaptation Improve the Robustness of Amortized Bayesian Inference? A Systematic Evaluation Learning transferable features with deep adaptation networks

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Does Unsupervised Domain Adaptation Improve the Robustness of Amortized Bayesian Inference? A Systematic Evaluation Domain Adaptation: Learning Bounds and Algorithms

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Does Unsupervised Domain Adaptation Improve the Robustness of Amortized Bayesian Inference? A Systematic Evaluation Unsupervised Domain Adaptation: A Reality Check

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Does Unsupervised Domain Adaptation Improve the Robustness of Amortized Bayesian Inference? A Systematic Evaluation Simulation-based inference of black hole ringdowns in the time domain

Reference 41

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This paper cites Domain adaptation via transfer component analysis.

Does Unsupervised Domain Adaptation Improve the Robustness of Amortized Bayesian Inference? A Systematic Evaluation Domain adaptation via transfer component analysis

Reference 42

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Does Unsupervised Domain Adaptation Improve the Robustness of Amortized Bayesian Inference? A Systematic Evaluation Fast -free inference of simulation models with bayesian conditional density estimation

Reference 43

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Does Unsupervised Domain Adaptation Improve the Robustness of Amortized Bayesian Inference? A Systematic Evaluation Unsupervised domain adaptation for medical imaging segmentation with self-ensembling

Reference 44

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Does Unsupervised Domain Adaptation Improve the Robustness of Amortized Bayesian Inference? A Systematic Evaluation Bayesflow: Learning complex stochastic models with invertible neural networks

Reference 45

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Does Unsupervised Domain Adaptation Improve the Robustness of Amortized Bayesian Inference? A Systematic Evaluation BayesFlow: Amortized Bayesian Workflows With Neural Networks

Reference 46

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Does Unsupervised Domain Adaptation Improve the Robustness of Amortized Bayesian Inference? A Systematic Evaluation Modern bayesian experimental design

Reference 47

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Does Unsupervised Domain Adaptation Improve the Robustness of Amortized Bayesian Inference? A Systematic Evaluation Greenberg, Pedro J

Reference 48

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This paper cites A survey on domain adaptation theory: Learning bounds and theoretical guarantees, July 2022.

Does Unsupervised Domain Adaptation Improve the Robustness of Amortized Bayesian Inference? A Systematic Evaluation A survey on domain adaptation theory: Learning bounds and theoretical guarantees, July 2022

Reference 49

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This paper cites U-net: Convolutional networks for biomedical image segmentation.

Does Unsupervised Domain Adaptation Improve the Robustness of Amortized Bayesian Inference? A Systematic Evaluation U-net: Convolutional networks for biomedical image segmentation

Reference 50

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Does Unsupervised Domain Adaptation Improve the Robustness of Amortized Bayesian Inference? A Systematic Evaluation Synthetic data could be better than real data

Reference 51

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Does Unsupervised Domain Adaptation Improve the Robustness of Amortized Bayesian Inference? A Systematic Evaluation u rkner, and K \

Reference 52

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This paper cites Learning transferrable representations for unsupervised domain adaptation.

Does Unsupervised Domain Adaptation Improve the Robustness of Amortized Bayesian Inference? A Systematic Evaluation Learning transferrable representations for unsupervised domain adaptation

Reference 53

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This paper cites Reliable amortized variational inference with physics-based latent distribution correction.

Does Unsupervised Domain Adaptation Improve the Robustness of Amortized Bayesian Inference? A Systematic Evaluation Reliable amortized variational inference with physics-based latent distribution correction

Reference 54

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Observation 7c509d1a-37bc-4b91-8514-096868cf1a34 · outbound

This paper cites Unsupervised Domain Adaptation through Self-Supervision.

Does Unsupervised Domain Adaptation Improve the Robustness of Amortized Bayesian Inference? A Systematic Evaluation Unsupervised Domain Adaptation through Self-Supervision

Reference 55

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Observation 454ebf95-5206-4de8-930f-3913dac95bfd · outbound

This paper cites Domain Adaptation for Measurements of Strong Gravitational Lenses.

Does Unsupervised Domain Adaptation Improve the Robustness of Amortized Bayesian Inference? A Systematic Evaluation Domain Adaptation for Measurements of Strong Gravitational Lenses

Reference 56

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Observation 5e9e4667-5768-46c3-8f12-b77cc42e9c93 · outbound

This paper cites Domain-Adaptive Neural Posterior Estimation for Strong Gravitational Lens Analysis.

Does Unsupervised Domain Adaptation Improve the Robustness of Amortized Bayesian Inference? A Systematic Evaluation Domain-Adaptive Neural Posterior Estimation for Strong Gravitational Lens Analysis

Reference 57

Resolution: verified exact; local_arxiv, observed 2026-08-08T20:58:04.230147Z

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Observation b52cee3e-1285-4bdb-b4fe-2e1bdd5f0407 · outbound

This paper cites Deep Domain Confusion: Maximizing for Domain Invariance.

Does Unsupervised Domain Adaptation Improve the Robustness of Amortized Bayesian Inference? A Systematic Evaluation Deep Domain Confusion: Maximizing for Domain Invariance

Reference 58

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Observation 0cc99e04-c7bb-4f47-bf19-8fa764b45b89 · outbound

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Does Unsupervised Domain Adaptation Improve the Robustness of Amortized Bayesian Inference? A Systematic Evaluation Unresolved cited work

Reference 59

Resolution: unresolved; raw_fallback, observed 2026-08-08T20:58:04.485481Z

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Observation d22e568a-709a-43ba-81d1-3f4a2d7fa151 · outbound

This paper cites S ch\"onberger, J uan Nunez-Iglesias , F ran c ois B oulogne, J oshua D.

Does Unsupervised Domain Adaptation Improve the Robustness of Amortized Bayesian Inference? A Systematic Evaluation S ch\"onberger, J uan Nunez-Iglesias , F ran c ois B oulogne, J oshua D

Reference 60

Resolution: unresolved; no resolver link, observed 2026-08-08T20:58:04.106398Z

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Observation 6563bba8-4b30-4645-bd44-86aa7edb5ee2 · outbound

This paper cites Oliphant, Matt Haberland, Tyler Reddy, David Cournapeau, Evgeni Burovski, Pearu Peterson, Warren Weckesser, Jonathan Bright, St \'e fan J.

Does Unsupervised Domain Adaptation Improve the Robustness of Amortized Bayesian Inference? A Systematic Evaluation Oliphant, Matt Haberland, Tyler Reddy, David Cournapeau, Evgeni Burovski, Pearu Peterson, Warren Weckesser, Jonathan Bright, St \'e fan J

Reference 61

Resolution: unresolved; no resolver link, observed 2026-08-08T20:58:04.109102Z

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Observation 41b95d1b-fd9d-4bbb-a7cb-ab396b77f8aa · outbound

This paper cites Kelly, David J Warne, and Christopher Drovandi.

Does Unsupervised Domain Adaptation Improve the Robustness of Amortized Bayesian Inference? A Systematic Evaluation Kelly, David J Warne, and Christopher Drovandi

Reference 62

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T20:58:04.470582Z

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No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 2e5052b0-f1be-412f-acff-d88013b106ee · outbound

This paper cites Robust neural posterior estimation and statistical model criticism.

Does Unsupervised Domain Adaptation Improve the Robustness of Amortized Bayesian Inference? A Systematic Evaluation Robust neural posterior estimation and statistical model criticism

Reference 63

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T20:58:04.461493Z

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Observation 33f613e9-bdc7-4a8d-9704-3e727b3f7dd5 · outbound

This paper cites Addressing Misspecification in Simulation-based Inference through Data-driven Calibration.

Does Unsupervised Domain Adaptation Improve the Robustness of Amortized Bayesian Inference? A Systematic Evaluation Addressing Misspecification in Simulation-based Inference through Data-driven Calibration

Reference 64

Resolution: unresolved; no resolver link, observed 2026-08-08T20:58:04.116935Z

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Observation 68368dc3-2dd6-450a-b2a5-4459a0b6771b · outbound

This paper cites Macke, and Bernhard Sch \"o lkopf.

Does Unsupervised Domain Adaptation Improve the Robustness of Amortized Bayesian Inference? A Systematic Evaluation Macke, and Bernhard Sch \"o lkopf

Reference 65

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T20:58:04.451574Z

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No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 666d2893-98dc-4be5-bd51-00b8691e7309 · outbound

This paper cites Deep sets.

Does Unsupervised Domain Adaptation Improve the Robustness of Amortized Bayesian Inference? A Systematic Evaluation Deep sets

Reference 66

Resolution: unresolved; no resolver link, observed 2026-08-08T20:58:04.122458Z

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Observation 1457124b-efbe-4525-b83f-53cc5e7c0354 · outbound

This paper cites Neural methods for amortized inference.

Does Unsupervised Domain Adaptation Improve the Robustness of Amortized Bayesian Inference? A Systematic Evaluation Neural methods for amortized inference

Reference 67

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T20:58:04.436762Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 7beafe00-80fb-4810-88e6-04b298b26c4a · outbound

This paper cites The balancing principle for parameter choice in distance-regularized domain adaptation.

Does Unsupervised Domain Adaptation Improve the Robustness of Amortized Bayesian Inference? A Systematic Evaluation The balancing principle for parameter choice in distance-regularized domain adaptation

Reference 68

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T20:58:04.427202Z

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No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 08e41eba-a002-490d-a225-029bc392edc6 · outbound

This paper cites Free Lunch for Domain Adversarial Training: Environment Label Smoothing.

Does Unsupervised Domain Adaptation Improve the Robustness of Amortized Bayesian Inference? A Systematic Evaluation Free Lunch for Domain Adversarial Training: Environment Label Smoothing

Reference 69

Resolution: verified exact; local_arxiv, observed 2026-08-08T20:58:04.197677Z

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Observation cdb8a4f2-0389-4caf-9ce8-f8edd8db591e · outbound

This paper cites Domain generalization: A survey.

Does Unsupervised Domain Adaptation Improve the Robustness of Amortized Bayesian Inference? A Systematic Evaluation Domain generalization: A survey

Reference 70

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T20:58:04.418421Z

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Observation 59f876fc-d931-40a2-a38c-d2e229e87345 · outbound

This paper cites write newline.

Does Unsupervised Domain Adaptation Improve the Robustness of Amortized Bayesian Inference? A Systematic Evaluation write newline

Reference 71

Resolution: unresolved; no resolver link, observed 2026-08-08T20:58:04.135641Z

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