Researchers Revisit Codata, Dependent Types, and the Limits of the Expression Problem
5 Mar 2026
A deep dive into codata, dependent types, and defunctionalization—reframing the expression problem through data–codata duality.
Rethinking Data and Codata Through Matrix Transposition
5 Mar 2026
A formal study shows de- and refunctionalization preserve typing and program well-formedness in a dependently typed language.
A Formal Core for Dependent Data and Codata with Type Soundness Guarantees
5 Mar 2026
A formal core calculus for dependent data and codata with pattern matching, copatterns, call-by-value semantics, and type soundness proofs.
Why Judgmental Equality Fails Under Defunctionalization
4 Mar 2026
Exploring how defunctionalization breaks judgmental and eta equality—and the naming-based solution that preserves type safety.
The Proof Expression Problem, Reimagined Through Object-Oriented Lenses
4 Mar 2026
A case study showing how dependently typed OOP enables modular web servers, extensible routes, and type-level enforcement of HTTP properties.
Rethinking OOP Through Dependent Types and Codata
4 Mar 2026
A deep dive into dependently typed object-oriented programming, codata design, self-parameters, and verified interfaces.
Deriving Dependently-Typed OOP from First Principles
4 Mar 2026
A new calculus unifies functional and object-oriented paradigms in dependently typed languages using duality and defunctionalization.
Concatenated Masked Autoencoders as Spatial-Temporal Learner: Conclusion & References
27 Feb 2024
In this paper, we introduce the Concatenated Masked Autoencoders (CatMAE) as a spatial-temporal learner for self-supervised video representation learning.
Concatenated Masked Autoencoders as Spatial-Temporal Learner: Experiments
27 Feb 2024
In this paper, we introduce the Concatenated Masked Autoencoders (CatMAE) as a spatial-temporal learner for self-supervised video representation learning.