Chin, Peter

8 publications

ICLR 2024 Bridging Neural and Symbolic Representations with Transitional Dictionary Learning Junyan Cheng, Peter Chin

ICLR 2024 SocioDojo: Building Lifelong Analytical Agents with Real-World Text and Time Series Junyan Cheng, Peter Chin

MLOSS 2024 TopoX: A Suite of Python Packages for Machine Learning on Topological Domains Mustafa Hajij, Mathilde Papillon, Florian Frantzen, Jens Agerberg, Ibrahem AlJabea, Rubén Ballester, Claudio Battiloro, Guillermo Bernárdez, Tolga Birdal, Aiden Brent, Peter Chin, Sergio Escalera, Simone Fiorellino, Odin Hoff Gardaa, Gurusankar Gopalakrishnan, Devendra Govil, Josef Hoppe, Maneel Reddy Karri, Jude Khouja, Manuel Lecha, Neal Livesay, Jan Meißner, Soham Mukherjee, Alexander Nikitin, Theodore Papamarkou, Jaro Prílepok, Karthikeyan Natesan Ramamurthy, Paul Rosen, Aldo Guzmán-Sáenz, Alessandro Salatiello, Shreyas N. Samaga, Simone Scardapane, Michael T. Schaub, Luca Scofano, Indro Spinelli, Lev Telyatnikov, Quang Truong, Robin Walters, Maosheng Yang, Olga Zaghen, Ghada Zamzmi, Ali Zia, Nina Miolane

AAAI 2024 Weisfeiler and Lehman Go Paths: Learning Topological Features via Path Complexes Quang Truong, Peter Chin

ECCVW 2022 A Study on Self-Supervised Object Detection Pretraining Trung Dang, Simon Kornblith, Huy Thong Nguyen, Peter Chin, Maryam Khademi

NeurIPS 2021 Revealing and Protecting Labels in Distributed Training Trung Dang, Om Thakkar, Swaroop Ramaswamy, Rajiv Mathews, Peter Chin, Françoise Beaufays

NeurIPS 2018 Learning to Repair Software Vulnerabilities with Generative Adversarial Networks Jacob Harer, Onur Ozdemir, Tomo Lazovich, Christopher Reale, Rebecca Russell, Louis Kim, Peter Chin

COLT 2015 Stochastic Block Model and Community Detection in Sparse Graphs: A Spectral Algorithm with Optimal Rate of Recovery Peter Chin, Anup Rao, Van Vu