Johan S. Obando-Ceron
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
11
Venues
3
Active years
2021–2025
Best venue rank
A*
Where they publish
Papers
11 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2025 | CVPR | All Languages Matter: Evaluating LMMs on Culturally Diverse 100 Languages. | Ashmal Vayani, Dinura Dissanayake, Hasindri Watawana, Noor Ahsan, Nevasini Sasikumar, Omkar Thawakar, Henok Biadglign Ademtew, Yahya Hmaiti, Amandeep Kumar, Kartik Kuckreja, Mykola Maslych, Wafa Al Ghallabi, Mihail Minkov Mihaylov, Chao Qin, Abdelrahman M. Shaker, Mike Zhang, Mahardika Krisna Ihsani, Amiel Gian Esplana, Monil Gokani, Shachar Mirkin, Harsh Singh, Ashay Srivastava, Endre Hamerlik, Fathinah Asma Izzati, Fadillah Adamsyah Maani, Sebastian Cavada, Jenny Chim, Rohit Gupta, Sanjay Manjunath, Kamila Zhumakhanova, Feno Heriniaina Rabevohitra, Azril Hafizi Amirudin, Muhammad Ridzuan, Daniya Najiha Abdul Kareem, Ketan Pravin More, Kunyang Li, Pramesh Shakya, Muhammad Saad, Amirpouya Ghasemaghaei, Amirbek Djanibekov, Dilshod Azizov, Branislava Jankovic, Naman Bhatia, Alvaro Cabrera, Johan S. Obando-Ceron, Olympiah Otieno, Fabian Farestam, Muztoba Rabbani, Sanoojan Baliah, Santosh Sanjeev, Abduragim Shtanchaev, Maheen Fatima, Thao Nguyen, Amrin Kareem, Toluwani Aremu, Nathan Augusto Zacarias Xavier, Amit Bhatkal, Hawau Olamide Toyin, Aman Chadha, Hisham Cholakkal, Rao Muhammad Anwer, Michael Felsberg, Jorma Laaksonen, Thamar Solorio, Monojit Choudhury, Ivan Laptev, Mubarak Shah, Salman H. Khan, Fahad Shahbaz Khan |
| 2025 | ICLR | Neuroplastic Expansion in Deep Reinforcement Learning. | Jiashun Liu, Johan S. Obando-Ceron, Aaron C. Courville, Ling Pan |
| 2025 | ICLR | Don't flatten, tokenize! Unlocking the key to SoftMoE's efficacy in deep RL. | Ghada Sokar, Johan S. Obando-Ceron, Aaron C. Courville, Hugo Larochelle, Pablo Samuel Castro |
| 2025 | ICML | The Courage to Stop: Overcoming Sunk Cost Fallacy in Deep Reinforcement Learning. | Jiashun Liu, Johan S. Obando-Ceron, Pablo Samuel Castro, Aaron C. Courville, Ling Pan |
| 2025 | ICML | The Impact of On-Policy Parallelized Data Collection on Deep Reinforcement Learning Networks. | Walter Mayor, Johan S. Obando-Ceron, Aaron C. Courville, Pablo Samuel Castro |
| 2025 | ICML | Mitigating Plasticity Loss in Continual Reinforcement Learning by Reducing Churn. | Hongyao Tang, Johan S. Obando-Ceron, Pablo Samuel Castro, Aaron C. Courville, Glen Berseth |
| 2024 | ICML | In value-based deep reinforcement learning, a pruned network is a good network. | Johan S. Obando-Ceron, Aaron C. Courville, Pablo Samuel Castro |
| 2024 | ICML | Mixtures of Experts Unlock Parameter Scaling for Deep RL. | Johan S. Obando-Ceron, Ghada Sokar, Timon Willi, Clare Lyle, Jesse Farebrother, Jakob Nicolaus Foerster, Gintare Karolina Dziugaite, Doina Precup, Pablo Samuel Castro |
| 2023 | ICLR | The Small Batch Size Anomaly in Multistep Deep Reinforcement Learning. | Johan S. Obando-Ceron, Marc G. Bellemare, Pablo Samuel Castro |
| 2023 | ICML | Bigger, Better, Faster: Human-level Atari with human-level efficiency. | Max Schwarzer, Johan S. Obando-Ceron, Aaron C. Courville, Marc G. Bellemare, Rishabh Agarwal, Pablo Samuel Castro |
| 2021 | ICML | Revisiting Rainbow: Promoting more insightful and inclusive deep reinforcement learning research. | Johan S. Obando-Ceron, Pablo Samuel Castro |