Variational Recurrent Adversarial Deep Domain Adaptation. - Sanjay Purushotham; Wilka Carvalho; Tanachat Nilanon; Yan Liu 002 (ICLR (Poster), 2017)

Detecting Backdoor Attacks on Deep Neural Networks by Activation Clustering. - Bryant Chen; Wilka Carvalho; Nathalie Baracaldo; Heiko Ludwig; Benjamin Edwards; Taesung Lee; Ian M. Molloy; Biplav Srivastava (SafeAI@AAAI, 2019)

Reinforcement Learning for Sparse-Reward Object-Interaction Tasks in First-person Simulated 3D Environments. - Wilka Carvalho; Anthony Liang; Kimin Lee; Sungryull Sohn; Honglak Lee; Richard L. Lewis; Satinder Singh 001 (CoRR, 2020)

Reinforcement Learning for Sparse-Reward Object-Interaction Tasks in a First-person Simulated 3D Environment. - Wilka Carvalho; Anthony Liang; Kimin Lee; Sungryull Sohn; Honglak Lee; Richard L. Lewis; Satinder Singh 001 (IJCAI, 2021)

Successor Feature Landmarks for Long-Horizon Goal-Conditioned Reinforcement Learning. - Christopher Hoang; Sungryull Sohn; Jongwook Choi; Wilka Carvalho; Honglak Lee (NeurIPS, 2021)

Learning Compositional Tasks from Language Instructions. - Lajanugen Logeswaran; Wilka Carvalho; Honglak Lee (AAAI, 2023)

Composing Task Knowledge With Modular Successor Feature Approximators. - Wilka Carvalho; Angelos Filos; Richard L. Lewis; Honglak Lee; Satinder Singh 001 (ICLR, 2023)

Combining Behaviors with the Successor Features Keyboard. - Wilka Carvalho; Andre Saraiva 001; Angelos Filos; Andrew K. Lampinen; Loic Matthey; Richard L. Lewis; Honglak Lee; Satinder Singh 001; Danilo Jimenez Rezende; Daniel Zoran (NeurIPS, 2023)

Feature-Attending Recurrent Modules for Generalization in Reinforcement Learning. - Wilka Carvalho; Andrew Kyle Lampinen; Kyriacos Nikiforou; Felix Hill; Murray Shanahan (Trans. Mach. Learn. Res., 2023)

Reinforcement Learning Agents that Discover Structured Representations - Wilka Carvalho (2023)

Predictive Representations: Building Blocks of Intelligence. - Wilka Carvalho; Momchil S. Tomov; William de Cothi; Caswell Barry; Samuel J. Gershman (Neural Comput., 2024)

Naturalistic Computational Cognitive Science: Towards generalizable models and theories that capture the full range of natural behavior. - Wilka Carvalho; Andrew K. Lampinen (CoRR, 2025)

Cross-environment Cooperation Enables Zero-shot Multi-agent Coordination. - Kunal Jha; Wilka Carvalho; Yancheng Liang; Simon S. Du; Max Kleiman-Weiner; Natasha Jaques (CoRR, 2025)

Preemptive Solving of Future Problems: Multitask Preplay in Humans and Machines. - Wilka Carvalho; Sam Hall-McMaster; Honglak Lee; Samuel J. Gershman (CoRR, 2025)

NiceWebRL: a Python library for human subject experiments with reinforcement learning environments. - Wilka Carvalho; Vikram Goddla; Ishaan Sinha; Hoon Shin; Kunal Jha (CoRR, 2025)