Science

Multiple sequence alignment as a sequence-to-sequence learning problem ICLR 2023 MuSe-GNN: Learning Unified Gene Representation From Multimodal Biological Graph Data NeurIPS 2023 Neural Integro-Differential Equations AAAI 2023 Neural Unsupervised Reconstruction of Protolanguage Word Forms ACL 2023 On quantum backpropagation, information reuse, and cheating measurement collapse NeurIPS 2023 On Testing and Learning Quantum Junta Channels COLT 2023 Performance-optimized deep neural networks are evolving into worse models of inferotemporal visual cortex NeurIPS 2023 PointListNet: Deep Learning on 3D Point Lists CVPR 2023 Predicting mutational effects on protein-protein binding via a side-chain diffusion probabilistic model NeurIPS 2023 Probing Neural Representations of Scene Perception in a Hippocampally Dependent Task Using Artificial Neural Networks CVPR 2023 ProBio: A Protocol-guided Multimodal Dataset for Molecular Biology Lab NeurIPS 2023 ProteinNPT: Improving Protein Property Prediction and Design with Non-Parametric Transformers NeurIPS 2023 QuACK: Accelerating Gradient-Based Quantum Optimization with Koopman Operator Learning NeurIPS 2023 Quantum Channel Certification with Incoherent Measurements COLT 2023 QuantumDARTS: Differentiable Quantum Architecture Search for Variational Quantum Algorithms ICML 2023 Quantum Lower Bounds for Finding Stationary Points of Nonconvex Functions ICML 2023 Quantum Multi-Agent Meta Reinforcement Learning AAAI 2023 Quantum Multi-Model Fitting CVPR 2023 Quantum Policy Gradient Algorithm with Optimized Action Decoding ICML 2023 Quantum Ridgelet Transform: Winning Lottery Ticket of Neural Networks with Quantum Computation ICML 2023 Quantum speedups for stochastic optimization NeurIPS 2023 ReactIE: Enhancing Chemical Reaction Extraction with Weak Supervision ACL 2023 ReLM: Leveraging Language Models for Enhanced Chemical Reaction Prediction EMNLP 2023 Retrosynthetic Planning with Dual Value Networks ICML 2023 Riemannian Metric Learning via Optimal Transport ICLR 2023