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Author

Adam Goliński

Observed names: Adam Golinski, Golinski, Adam, Goliński, Adam
ORCID: 0000-0002-8873-1072
Observed ORCID: 0000-0002-8873-1072
OpenAlex ID: A5103022758
COIN: COmpression with Implicit Neural representations
2021 · Dupont, Emilien, Goliński, Adam, et al. · arXiv (Cornell University) · 118
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COIN++: Neural Compression Across Modalities
2022 · Dupont, Emilien, Loya, Hrushikesh, et al. · arXiv (Cornell University) · 43
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Feedback Recurrent Autoencoder for Video Compression
2021 · Adam Goliński, Reza Pourreza, et al. · Lecture notes in computer science · 41
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Faithful Inversion of Generative Models for Effective Amortized Inference
2017 · Webb, Stefan, Golinski, Adam, et al. · arXiv (Cornell University) · 10
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LIDL: Local Intrinsic Dimension Estimation Using Approximate Likelihood
2022 · Tempczyk, Piotr, Michaluk, Rafał, et al. · arXiv (Cornell University) · 5
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Target–Aware Bayesian Inference: How to Beat Optimal Conventional Estimators
2020 · Tom Rainforth, Adam Goliński, et al. · Journal of Machine Learning Research · 5
Amortized Monte Carlo Integration
2019 · Goliński, Adam, Wood, Frank, et al. · arXiv (Cornell University) · 2
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BED-LLM: Intelligent Information Gathering with LLMs and Bayesian Experimental Design
2025 · Choudhury, Deepro, Williamson, Sinead, et al. · arXiv (Cornell University) · 1
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Revisiting Uncertainty Quantification Evaluation in Language Models: Spurious Interactions with Response Length Bias Results
2025 · Andrea Santilli, Adam Golinski, et al. · Proceedings of the conference - Association for Computational Linguistics. Meeting · 1
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Considerations for Distribution Shift Robustness of Diagnostic Models in Healthcare
2024 · Blaas, Arno, Goliński, Adam, et al. · arXiv (Cornell University) · 1
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The Role of Entropy and Reconstruction in Multi-View Self-Supervised Learning
2023 · Rodríguez-Gálvez, Borja, Blaas, Arno, et al. · arXiv (Cornell University) · 1
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Rewards for Budget-Aware Multi-Turn Agents That Adapt to Arbitrary Test-Time Constraints
2026 · Lamb, Tom A., Golinski, Adam, et al. · arXiv (Cornell University)
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LLMs are not (consistently) Bayesian: Quantifying internal (in)consistencies of LLMs' probabilistic beliefs
2026 · Chen, Chacha, Jörke, Matthew, et al. · arXiv (Cornell University)
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Uncertainty Quantification for LLM Function-Calling
2026 · Ye, Zihuiwen, Aichberger, Lukas, et al. · arXiv (Cornell University)
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Is Your Model Fairly Certain? Uncertainty-Aware Fairness Evaluation for LLMs
2025 · Wang, Yinong Oliver, Sivakumar, Nivedha, et al. · arXiv (Cornell University)
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SelfReflect: Can LLMs Communicate Their Internal Answer Distribution?
2025 · Kirchhof, Michael, Füger, Luca, et al. · arXiv (Cornell University)
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Expectation Programming: Adapting Probabilistic Programming Systems to Estimate Expectations Efficiently
2021 · Reichelt, Tim, Goliński, Adam, et al. · arXiv (Cornell University)
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Lossless Compression using Continuously-Indexed Normalizing Flows
2021 · Adam Goliński, Anthony L. Caterini · International Conference on Learning Representations
Faithful Model Inversion Substantially Improves Auto-encoding Variational Inference.
2017 · Stefan Webb, Adam Goliński, et al.
Minimally Faithful Inversion of Graphical Models
2017 · Stefan Webb, Adam Goliński, et al. · arXiv (Cornell University)
Works count: 21
Citation count: 228
H-index: 5
I10-index: 4
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