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Theo Olausson
Observed names:
Olausson, Theo,
Olausson, Theo X.,
Theo X. Olausson
Institution:
Massachusetts Institute of Technology
Observed institutions:
MIT Computer Science and Artificial Intelligence Laboratory,
Massachusetts Institute of Technology,
University of Edinburgh
ORCID:
0000-0001-6653-2227
Observed ORCID:
0000-0001-6653-2227
OpenAlex ID:
A5035758082
LINC: A Neurosymbolic Approach for Logical Reasoning by Combining Language Models with First-Order Logic Provers
2023
·
Theo Olausson
, Alex Gu
, et al.
·
Conference on Empirical Methods in Natural Language Processing (EMNLP)
·
57
PDF
Top-Down Synthesis for Library Learning
2023
·
Matthew Bowers
, Theo X. Olausson
, et al.
·
Proceedings of the ACM on Programming Languages
·
33
PDF
HeteroGen: Automatic Synthesis of Heterogeneous Cache Coherence Protocols
2022
·
Nicolai Oswald
, Vijay Nagarajan
, et al.
·
Proceedings - International Symposium on High-Performance Computer Architecture/Proceedings
·
15
PDF
Is Self-Repair a Silver Bullet for Code Generation?
2023
·
Olausson, Theo X.
, Inala, Jeevana Priya
, et al.
·
arXiv (Cornell University)
·
13
PDF
The Counterfeit Conundrum: Can Code Language Models Grasp the Nuances of Their Incorrect Generations?
2024
·
Alex Gu
, Wen-Ding Li
, et al.
·
3
PDF
LILO: Learning Interpretable Libraries by Compressing and Documenting Code
2023
·
Grand, Gabriel
, Wong, Lionel
, et al.
·
arXiv (Cornell University)
·
2
PDF
HeteroGen: Automatic Synthesis of Heterogeneous Cache Coherence Protocols
2023
·
Nicolai Oswald
, Vijay Nagarajan
, et al.
·
IEEE Micro
·
1
Benchmarking the Accuracy of Algorithms for Memory-Constrained Image Classification
2020
·
Sebastian MUksch
, Theo Olausson
, et al.
·
IEEE/ACM Symposium on Edge Computing (SEC)
·
1
Quantitative Analysis of Image Classification Techniques for Memory-Constrained Devices
2020
·
Müksch, Sebastian
, Olausson, Theo
, et al.
·
arXiv (Cornell University)
·
1
PDF
Conformal Language Modeling via Posterior Sampling
2026
·
Emmenegger, Nicolas
, Olausson, Theo X.
, et al.
·
arXiv (Cornell University)
PDF
A Tale of Two Temperatures: Simple, Efficient, and Diverse Sampling from Diffusion Language Models
2026
·
Olausson, Theo X.
, Jazbec, Metod
, et al.
·
arXiv (Cornell University)
PDF
Amortized Maximum Inner Product Search with Learned Support Functions
2026
·
Olausson, Theo X.
, Monteiro, João
, et al.
·
arXiv (Cornell University)
PDF
The Design Space of Tri-Modal Masked Diffusion Models
2026
·
Bethune, Louis
, Turrisi, Victor
, et al.
·
arXiv (Cornell University)
PDF
Learning Unmasking Policies for Diffusion Language Models
2025
·
Jazbec, Metod
, Olausson, Theo X.
, et al.
·
arXiv (Cornell University)
PDF
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Works count:
15
Citation count:
126
H-index:
4
I10-index:
4
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