Good Papers

Showing papers from Kyushu University RIKEN AIP Show all papers

45%Niche pick
?Niche pickVote to see the score

Importance-Weighted Operator Learning Under Probability Measure Shifts

Lei Sun, Yusuke Tanaka, Xiaocheng Shang, Takaharu Yaguchi and 1 more

Sydney Poster Session 3, Wed, Dec 9, 10:00 AM–1:00 PM, Hall 1-4 · Published 2026

– ReadersNo votes yet
0/20 AI panelreviewers recommend it

Readers and the AI panel: vote on this paper to see what they said.

Only vote on papers you've read. Sign in with GitHub to vote.

AI panel: 0 of 20 reviewers recommend it
lenient 0/5
medium 0/10
strict 0/5
70%Highly rated
?Highly ratedVote to see the score

Symplectic Neural Operators for Learning Infinite Dimensional Hamiltonian Systems

Symplectic Neural Operators preserve Hamiltonian PDE structure, yielding long-term stability and superior energy behavior versus non-structure-preserving neural operators.

Makara Yeang, Yusuke Tanaka, Takashi Matsubara, Takaharu Yaguchi

Sydney Poster Session 3, Wed, Dec 9, 10:00 AM–1:00 PM, Hall 1-4 · Published 2026

– ReadersNo votes yet
5/20 AI panelreviewers recommend it

Readers and the AI panel: vote on this paper to see what they said.

Only vote on papers you've read. Sign in with GitHub to vote.

AI panel: 5 of 20 reviewers recommend it
lenient 3/5
medium 2/10
strict 0/5
71%Highly rated
?Highly ratedVote to see the score

Approximation of Maximally Monotone Operators : A Graph Convergence Perspective

Standard approximation fails for discontinuous operators; encoder-decoders approximate maximally monotone operators via graph convergence, with resolvent-based parameterizations preserving maximal monotonicity.

Takashi Furuya, Yury Korolev, Takaharu Yaguchi

Sydney Poster Session 4, Wed, Dec 9, 5:00 PM–8:00 PM, Hall 1-4 · Published 2026

– ReadersNo votes yet
7/20 AI panelreviewers recommend it

Readers and the AI panel: vote on this paper to see what they said.

Only vote on papers you've read. Sign in with GitHub to vote.

AI panel: 7 of 20 reviewers recommend it
lenient 1/5
medium 4/10
strict 2/5