Accelerating science with AI and simulations
MIT Professor Rafael Gómez-Bombarelli discusses the transformative potential of AI in scientific research, emphasizing its role in materi...
ML algorithms, training, and inference
MIT Professor Rafael Gómez-Bombarelli discusses the transformative potential of AI in scientific research, emphasizing its role in materi...
Abstract page for arXiv paper 2510.14949: DialectGen: Benchmarking and Improving Dialect Robustness in Multimodal Generation
Abstract page for arXiv paper 2510.17018: CoGate-LSTM: Prototype-Guided Feature-Space Gating for Mitigating Gradient Dilution in Imbalanc...
Abstract page for arXiv paper 2509.22630: StateX: Enhancing RNN Recall via Post-training State Expansion
Abstract page for arXiv paper 2509.17183: LifeAlign: Lifelong Alignment for Large Language Models with Memory-Augmented Focalized Prefere...
Abstract page for arXiv paper 2509.02617: Gaussian process surrogate with physical law-corrected prior for multi-coupled PDEs defined on ...
Abstract page for arXiv paper 2506.18601: BulletGen: Improving 4D Reconstruction with Bullet-Time Generation
Abstract page for arXiv paper 2506.03863: STAR: Learning Diverse Robot Skill Abstractions through Rotation-Augmented Vector Quantization
Abstract page for arXiv paper 2504.14135: Unreal Robotics Lab: A High-Fidelity Robotics Simulator with Advanced Physics and Rendering
Abstract page for arXiv paper 2502.17421: LongSpec: Long-Context Lossless Speculative Decoding with Efficient Drafting and Verification
Abstract page for arXiv paper 2411.05183: Why CNN Features Are not Gaussian: A Statistical Anatomy of Deep Representations
Abstract page for arXiv paper 2409.01962: Attentive Dilated Convolution for Automatic Sleep Staging using Force-directed Layout
Abstract page for arXiv paper 2407.14971: Sim-CLIP: Unsupervised Siamese Adversarial Fine-Tuning for Robust and Semantically-Rich Vision-...
Abstract page for arXiv paper 2405.06535: Controllable Image Generation with Composed Parallel Token Prediction
Abstract page for arXiv paper 2305.02657: On the Eigenvalue Decay Rates of a Class of Neural-Network Related Kernel Functions Defined on ...
Abstract page for arXiv paper 2402.15095: The Umeyama algorithm for matching correlated Gaussian geometric models in the low-dimensional ...
Abstract page for arXiv paper 2512.24062: Energy-Balanced Hyperspherical Graph Representation Learning via Structural Binding and Entropi...
Abstract page for arXiv paper 2512.15605: Autoregressive Language Models are Secretly Energy-Based Models: Insights into the Lookahead Ca...
Abstract page for arXiv paper 2512.13592: Image Diffusion Preview with Consistency Solver
Abstract page for arXiv paper 2512.07988: HOLE: Homological Observation of Latent Embeddings for Neural Network Interpretability
Abstract page for arXiv paper 2511.01831: Routing-Based Continual Learning for Multimodal Large Language Models
Get the latest news, tools, and insights delivered to your inbox.
Daily or weekly digest • Unsubscribe anytime