Summary of Exploring 3d-aware Latent Spaces For Efficiently Learning Numerous Scenes, by Antoine Schnepf et al.
Exploring 3D-aware Latent Spaces for Efficiently Learning Numerous Scenesby Antoine Schnepf, Karim Kassab, Jean-Yves Franceschi,…
Exploring 3D-aware Latent Spaces for Efficiently Learning Numerous Scenesby Antoine Schnepf, Karim Kassab, Jean-Yves Franceschi,…
Crystalformer: Infinitely Connected Attention for Periodic Structure Encodingby Tatsunori Taniai, Ryo Igarashi, Yuta Suzuki, Naoya…
Nonsmooth Implicit Differentiation: Deterministic and Stochastic Convergence Ratesby Riccardo Grazzi, Massimiliano Pontil, Saverio SalzoFirst submitted…
Generalization error of spectral algorithmsby Maksim Velikanov, Maxim Panov, Dmitry YarotskyFirst submitted to arxiv on:…
PITA: Physics-Informed Trajectory Autoencoderby Johannes Fischer, Kevin Rösch, Martin Lauer, Christoph StillerFirst submitted to arxiv…
PARMESAN: Parameter-Free Memory Search and Transduction for Dense Prediction Tasksby Philip Matthias Winter, Maria Wimmer,…
LSKNet: A Foundation Lightweight Backbone for Remote Sensingby Yuxuan Li, Xiang Li, Yimian Dai, Qibin…
Meta-Prompting for Automating Zero-shot Visual Recognition with LLMsby M. Jehanzeb Mirza, Leonid Karlinsky, Wei Lin,…
A tutorial on learning from preferences and choices with Gaussian Processesby Alessio Benavoli, Dario AzzimontiFirst…
S-JEPA: towards seamless cross-dataset transfer through dynamic spatial attentionby Pierre Guetschel, Thomas Moreau, Michael TangermannFirst…