Critical Synthesis
Critical synthesis in various fields focuses on generating realistic and diverse data, often using machine learning models to overcome limitations of real-world datasets. Current research emphasizes the development and application of diffusion models, generative adversarial networks (GANs), and transformer-based architectures for tasks ranging from image and speech synthesis to molecular design and controller synthesis. This work is significant for expanding datasets in data-scarce domains, improving the performance and robustness of AI systems, and enabling new applications in medicine, materials science, and beyond.
Papers
ASKCOS: an open source software suite for synthesis planning
Zhengkai Tu, Sourabh J. Choure, Mun Hong Fong, Jihye Roh, Itai Levin, Kevin Yu, Joonyoung F. Joung, Nathan Morgan, Shih-Cheng Li, Xiaoqi Sun, Huiqian Lin, Mark Murnin, Jordan P. Liles, Thomas J. Struble, Michael E. Fortunato, Mengjie Liu, William H. Green, Klavs F. Jensen, Connor W. Coley
CoT-based Synthesizer: Enhancing LLM Performance through Answer Synthesis
Bohan Zhang, Xiaokang Zhang, Jing Zhang, Jifan Yu, Sijia Luo, Jie Tang
HisynSeg: Weakly-Supervised Histopathological Image Segmentation via Image-Mixing Synthesis and Consistency Regularization
Zijie Fang, Yifeng Wang, Peizhang Xie, Zhi Wang, Yongbing Zhang
Latent Drifting in Diffusion Models for Counterfactual Medical Image Synthesis
Yousef Yeganeh, Ioannis Charisiadis, Marta Hasny, Martin Hartenberger, Björn Ommer, Nassir Navab, Azade Farshad, Ehsan Adeli
Taming Multimodal Joint Training for High-Quality Video-to-Audio Synthesis
Ho Kei Cheng, Masato Ishii, Akio Hayakawa, Takashi Shibuya, Alexander Schwing, Yuki Mitsufuji
Stable-V2A: Synthesis of Synchronized Sound Effects with Temporal and Semantic Controls
Riccardo Fosco Gramaccioni, Christian Marinoni, Emilian Postolache, Marco Comunità, Luca Cosmo, Joshua D. Reiss, Danilo Comminiello
Cirbo: A New Tool for Boolean Circuit Analysis and Synthesis
Daniil Averkov, Tatiana Belova, Gregory Emdin, Mikhail Goncharov, Viktoriia Krivogornitsyna, Alexander S. Kulikov, Fedor Kurmazov, Daniil Levtsov, Georgie Levtsov, Vsevolod Vaskin, Aleksey Vorobiev
MetaShadow: Object-Centered Shadow Detection, Removal, and Synthesis
Tianyu Wang, Jianming Zhang, Haitian Zheng, Zhihong Ding, Scott Cohen, Zhe Lin, Wei Xiong, Chi-Wing Fu, Luis Figueroa, Soo Ye Kim
The Problem of Social Cost in Multi-Agent General Reinforcement Learning: Survey and Synthesis
Kee Siong Ng, Samuel Yang-Zhao, Timothy Cadogan-Cowper