Bobak T. Kiani

13 papers A* 4Journal 8
YearRankTypeTitle / Venue / Authors
2026 J jnl
Optimizing Sparse SYK.
Quantum
Matthew Ding, Robbie King, Bobak T. Kiani, Eric R. Anschuetz
2026 J jnl
SYK thermal expectations are classically easy at any temperature.
CoRR
Alexander Zlokapa, Bobak T. Kiani
2025 J jnl
Optimizing Sparse SYK.
CoRR
Matthew Ding, Robbie King, Bobak T. Kiani, Eric R. Anschuetz
2024 J jnl
Combinatorial NLTS From the Overlap Gap Property.
Quantum
Eric R. Anschuetz, David Gamarnik, Bobak T. Kiani
2024 A* conf
Hardness of Learning Neural Networks under the Manifold Hypothesis.
NeurIPS
Bobak T. Kiani, Jason Wang, Melanie Weber
2024 J jnl
Hardness of Learning Neural Networks under the Manifold Hypothesis.
CoRR
Bobak T. Kiani, Jason Wang, Melanie Weber
2024 A* conf
On the hardness of learning under symmetries.
ICLR
Bobak T. Kiani, Thien Le, Hannah Lawrence, Stefanie Jegelka, Melanie Weber
2024 J jnl
On the hardness of learning under symmetries.
CoRR
Bobak T. Kiani, Thien Le, Hannah Lawrence, Stefanie Jegelka, Melanie Weber
2024 A* conf
Unitary Convolutions for Learning on Graphs and Groups.
NeurIPS
Bobak T. Kiani, Lukas Fesser, Melanie Weber
2024 J jnl
Unitary convolutions for learning on graphs and groups.
CoRR
Bobak T. Kiani, Lukas Fesser, Melanie Weber
2023 — —
Horizons of Artificial Intelligence in Quantum Computation
Bobak T. Kiani
2023 A* conf
Self-Supervised Learning with Lie Symmetries for Partial Differential Equations.
NeurIPS
Grégoire Mialon, Quentin Garrido, Hannah Lawrence, Danyal Rehman, Yann LeCun, Bobak T. Kiani
2022 J jnl
Block-encoding dense and full-rank kernels using hierarchical matrices: applications in quantum numerical linear algebra.
Quantum
Quynh T. Nguyen, Bobak T. Kiani, Seth Lloyd