Peter Chin

Publication Activity (10 Years)

Years Active: 2021-2024
Publications (10 Years): 28

Top Topics

Text Generation

Lossless Compression

Nonlinear Manifold Learning

Top Venues

COMPLEX NETWORKS

COMPLEX NETWORKS (1)

Publications

Moshik Hershcovitch, Leshem Choshen, Andrew Wood, Ilias Enmouri, Peter Chin, Swaminathan Sundararaman, Danny Harnik
Lossless and Near-Lossless Compression for Foundation Models. CoRR (2024)
Junyan Cheng, Peter Chin
SocioDojo: Building Lifelong Analytical Agents with Real-world Text and Time Series. ICLR (2024)
Judith Herrmann, Raphael Kunert, Ron Hachmon, Aviv Markus, Allison Gunby-Mann, Sarel Cohen, Tobias Friedrich, Peter Chin
Detecting Continuous Gravitational Waves Using Generated Training Data. ICASSP (2024)
Junyan Cheng, Peter Chin
Bridging Neural and Symbolic Representations with Transitional Dictionary Learning. ICLR (2024)
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
TopoX: A Suite of Python Packages for Machine Learning on Topological Domains. CoRR (2024)
Quang Truong, Peter Chin
Weisfeiler and Lehman Go Paths: Learning Topological Features via Path Complexes. AAAI (2024)
Ryan Yu, Alex Olshevsky, Peter Chin
Tree Search for Simultaneous Move Games via Equilibrium Approximation. CoRR (2024)
Ikeoluwa Abioye, Allison Gunby-Mann, Xu Wang, Sarel Cohen, Peter Chin
Learned Approximate Distance Labels for Graphs. COMPLEX NETWORKS (1) (2023)
Pedro Colon-Hernandez, Henry Lieberman, Yida Xin, Claire Yin, Cynthia Breazeal, Peter Chin
Adversarial Transformer Language Models for Contextual Commonsense Inference. CoRR (2023)
Minh N. Bui, Dung N. Tran, Kazuhito Koishida, Trac D. Tran, Peter Chin
Improving Low-Latency Mono-Channel Speech Enhancement by Compensation Windows in STFT Analysis. COMPLEX NETWORKS (1) (2023)
Davin Jeong, Allison Gunby-Mann, Sarel Cohen, Maximilian Katzmann, Chau Pham, Arnav Bhakta, Tobias Friedrich, Peter Chin
Deep Distance Sensitivity Oracles. COMPLEX NETWORKS (1) (2023)
Trung Dang, Dung N. Tran, Peter Chin, Kazuhito Koishida
Training Robust Zero-Shot Voice Conversion Models with Self-Supervised Features. ICASSP (2022)
Trung Dang, Simon Kornblith, Huy Thong Nguyen, Peter Chin, Maryam Khademi
A Study on Self-Supervised Object Detection Pretraining. CoRR (2022)
Trung Dang, Om Thakkar, Swaroop Ramaswamy, Rajiv Mathews, Peter Chin, Françoise Beaufays
A Method to Reveal Speaker Identity in Distributed ASR Training, and How to Counter IT. ICASSP (2022)
Laura Greige, Fernando De Mesentier Silva, Meredith Trotter, Chris Lawrence, Peter Chin, Dilip Varadarajan
Collusion Detection in Team-Based Multiplayer Games. CoRR (2022)
Hieu Le, Dieu-Thu Le, Verena Weber, Chris Church, Kay Rottmann, Melanie Bradford, Peter Chin
Semi-supervised Adversarial Text Generation based on Seq2Seq models. EMNLP (Industry Track) (2022)
Laura Greige, Fernando De Mesentier Silva, Meredith Trotter, Chris Lawrence, Peter Chin, Dilip Varadarajan
Collusion Detection in Team-Based Multiplayer Games. AAAI Spring Symposium: MAKE (2022)
Xiao Wang, Ding Ding, Wei Jiang, Wei Wang, Xiaozhong Xu, Shan Liu, Brian Kulis, Peter Chin
Substitutional Neural Image Compression. PCS (2022)
Ryan Yu, Andrew Wood, Sarel Cohen, Moshik Hershcovitch, Daniel G. Waddington, Peter Chin
Biologically Plausible Complex-Valued Neural Networks and Model Optimization. AIAI (1) (2022)
Weiyu Zong, Mingqian Feng, Griffin Heyrich, Peter Chin
cs-net: structural approach to time-series forecasting for high-dimensional feature space data with limited observations. CoRR (2022)
Trung Dang, Simon Kornblith, Huy Thong Nguyen, Peter Chin, Maryam Khademi
A Study on Self-Supervised Object Detection Pretraining. ECCV Workshops (4) (2022)
Laura Greige, Peter Chin
Deep Reinforcement Learning for FlipIt Security Game. COMPLEX NETWORKS (2021)
Michael R. Douglas, Michael Simkin, Omri Ben-Eliezer, Tianqi Wu, Peter Chin, Trung V. Dang, Andrew Wood
What Is Learned in Knowledge Graph Embeddings? COMPLEX NETWORKS (2021)
Sarel Cohen, Moshik Hershcovitch, Martin Taraz, Otto Kißig, Andrew Wood, Daniel G. Waddington, Peter Chin, Tobias Friedrich
Drug Repurposing Using Link Prediction on Knowledge Graphs with Applications to Non-volatile Memory. COMPLEX NETWORKS (2021)
Hieu Le, Andrew Wood, Sylee Dandekar, Peter Chin
Neural Network Optimization with Biologically Inspired Low-Dimensional Manifold Learning. CSCI (2021)
Trung Dang, Om Thakkar, Swaroop Ramaswamy, Rajiv Mathews, Peter Chin, Françoise Beaufays
Revealing and Protecting Labels in Distributed Training. NeurIPS (2021)
Simon Alford, Anshula Gandhi, Akshay Rangamani, Andrzej Banburski, Tony Wang, Sylee Dandekar, John Chin, Tomaso A. Poggio, Peter Chin
Neural-Guided, Bidirectional Program Search for Abstraction and Reasoning. COMPLEX NETWORKS (2021)
Hieu Le, Hans Walker, Dung N. Tran, Peter Chin
Corrupting Data to Remove Deceptive Perturbation: Using Preprocessing Method to Improve System Robustness. CSCI (2021)