most citedMasked Language Modeling for Proteins via Linearly Scalable Long-Context Transformers

29 citations · 40 across the 4 of their papers we have counts for

collaborators

5 papers

cs.LG2020

An Ode to an ODE

Krzysztof Choromanski, Jared Quincy Davis, Valerii Likhosherstov +6

We present a new paradigm for Neural ODE algorithms, called ODEtoODE, where time-dependent parameters of the main flow evolve according to a matrix flow on the orthogonal group O(d…

cs.LG202029 cited

Masked Language Modeling for Proteins via Linearly Scalable Long-Context Transformers

Krzysztof Choromanski, Valerii Likhosherstov, David Dohan +8

Transformer models have achieved state-of-the-art results across a diverse range of domains. However, concern over the cost of training the attention mechanism to learn complex dep…

cs.LG20207 cited

Time Dependence in Non-Autonomous Neural ODEs

Jared Quincy Davis, Krzysztof Choromanski, Jake Varley +6

Neural Ordinary Differential Equations (ODEs) are elegant reinterpretations of deep networks where continuous time can replace the discrete notion of depth, ODE solvers perform for…

cs.LG2020

Stochastic Flows and Geometric Optimization on the Orthogonal Group

Krzysztof Choromanski, David Cheikhi, Jared Davis +12

We present a new class of stochastic, geometrically-driven optimization algorithms on the orthogonal group and naturally reductive homogeneous manifolds obtained from the ac…

cs.LO20134 cited

Proceedings International Workshop on the ACL2 Theorem Prover and its Applications

Ruben Gamboa, Jared Davis

This volume contains the proceedings of the Eleventh International Workshop on the ACL2 Theorem Prover and its Applications, held on May 30 and 31, 2013, in Laramie, Wyoming, USA.…