Marc Lackenby

12 papers A* 1Journal 10Unranked 1
YearRankTypeTitle / Venue / Authors
2025 A* conf
What Makes a Good Feedforward Computational Graph?
ICML
Alex Vitvitskyi, João Guilherme Madeira Araújo, Marc Lackenby, Petar Velickovic
2025 J jnl
What makes a good feedforward computational graph?
CoRR
Alex Vitvitskyi, João G. M. Araújo, Marc Lackenby, Petar Velickovic
2024 J jnl
How does over-squashing affect the power of GNNs?
Trans. Mach. Learn. Res.
Francesco Di Giovanni, T. Konstantin Rusch, Michael M. Bronstein, Andreea Deac, Marc Lackenby, Siddhartha Mishra, Petar Velickovic
2024 J jnl
Some fast algorithms for curves in surfaces.
CoRR
Marc Lackenby
2024 J jnl
The unknotting number, hard unknot diagrams, and reinforcement learning.
CoRR
Taylor Applebaum, Sam Blackwell, Alex Davies, Thomas Edlich, András Juhász, Marc Lackenby, Nenad Tomasev, Daniel Zheng
2023 J jnl
How does over-squashing affect the power of GNNs?
CoRR
Francesco Di Giovanni, T. Konstantin Rusch, Michael M. Bronstein, Andreea Deac, Marc Lackenby, Siddhartha Mishra, Petar Velickovic
2022 — conf
Expander Graph Propagation.
LoG
Andreea Deac, Marc Lackenby, Petar Velickovic
2022 J jnl
Expander Graph Propagation.
CoRR
Andreea Deac, Marc Lackenby, Petar Velickovic
2021 J jnl
Advancing mathematics by guiding human intuition with AI.
Nat.
Alex Davies, Petar Velickovic, Lars Buesing, Sam Blackwell, Daniel Zheng, Nenad Tomasev, Richard Tanburn, Peter W. Battaglia, Charles Blundell, András Juhász, Marc Lackenby, Geordie Williamson, Demis Hassabis, Pushmeet Kohli
2021 J jnl
The signature and cusp geometry of hyperbolic knots.
CoRR
Alex Davies, András Juhász, Marc Lackenby, Nenad Tomasev
2017 J jnl
Some Conditionally Hard Problems on Links and 3-Manifolds.
Discret. Comput. Geom.
Marc Lackenby
2014 J jnl
Geodesics and Compression Bodies.
Exp. Math.
Marc Lackenby, Jessica S. Purcell