A Polyhedral Investigation of the LCS Problem and a Repetition-Free Variant. - Cristina G. Fernandes; Carlos Eduardo Ferreira; Christian Tjandraatmadja; Yoshiko Wakabayashi (LATIN, 2008)

Repetition-free longest common subsequence. - Said Sadique Adi; Marília D. V. Braga; Cristina G. Fernandes; Carlos Eduardo Ferreira; Fábio Viduani Martinez; Marie-France Sagot; Marco Aurelio Stefanes; Christian Tjandraatmadja; Yoshiko Wakabayashi (Discret. Appl. Math., 2010)

A branch-and-cut approach to the repetition-free longest common subsequence problem. - Carlos Eduardo Ferreira; Christian Tjandraatmadja (Electron. Notes Discret. Math., 2010)

Bounding and Counting Linear Regions of Deep Neural Networks. - Thiago Serra; Christian Tjandraatmadja; Srikumar Ramalingam (ICML, 2018)

How Could Polyhedral Theory Harness Deep Learning? - Thiago Serra; Christian Tjandraatmadja; Srikumar Ramalingam (CoRR, 2018)

Strong Mixed-Integer Programming Formulations for Trained Neural Networks. - Ross Anderson; Joey Huchette; Christian Tjandraatmadja; Juan Pablo Vielma (IPCO, 2019)

Target Cuts from Relaxed Decision Diagrams. - Christian Tjandraatmadja; Willem-Jan van Hoeve (INFORMS J. Comput., 2019)

CAQL: Continuous Action Q-Learning. - Moonkyung Ryu; Yinlam Chow; Ross Anderson; Christian Tjandraatmadja; Craig Boutilier (ICLR, 2020)

Reinforcement Learning with Combinatorial Actions: An Application to Vehicle Routing. - Arthur Delarue; Ross Anderson; Christian Tjandraatmadja (NeurIPS, 2020)

The Convex Relaxation Barrier, Revisited: Tightened Single-Neuron Relaxations for Neural Network Verification. - Christian Tjandraatmadja; Ross Anderson; Joey Huchette; Will Ma; Krunal Patel; Juan Pablo Vielma (NeurIPS, 2020)

Solving Mixed Integer Programs Using Neural Networks. - Vinod Nair; Sergey Bartunov; Felix Gimeno; Ingrid von Glehn; Pawel Lichocki; Ivan Lobov; Brendan O'Donoghue; Nicolas Sonnerat; Christian Tjandraatmadja; Pengming Wang 001; Ravichandra Addanki; Tharindi Hapuarachchi; et al. (CoRR, 2020)

Strong mixed-integer programming formulations for trained neural networks. - Ross Anderson; Joey Huchette; Will Ma; Christian Tjandraatmadja; Juan Pablo Vielma (Math. Program., 2020)

Incorporating bounds from decision diagrams into integer programming. - Christian Tjandraatmadja; Willem-Jan van Hoeve (Math. Program. Comput., 2021)

Constrained Discrete Black-Box Optimization using Mixed-Integer Programming. - Theodore P. Papalexopoulos; Christian Tjandraatmadja; Ross Anderson; Juan Pablo Vielma; David Belanger 002 (ICML, 2022)

Learning Generalized Linear Programming Value Functions. - Tu Anh-Nguyen; Joey Huchette; Christian Tjandraatmadja (NeurIPS, 2024)