Papers
Deep Representation Learning for Forecasting Recursive and Multi-Relational Events in Temporal Networks
Tony Gracious, Ambedkar Dukkipati
DeepResearcher: Scaling Deep Research via Reinforcement Learning in Real-world Environments
Yuxiang Zheng, Dayuan Fu, Xiangkun Hu et al.
DeepResonance: Enhancing Multimodal Music Understanding via Music-centric Multi-way Instruction Tuning
Zhuoyuan Mao, Mengjie Zhao, Qiyu Wu et al.
DeepReview: Improving LLM-based Paper Review with Human-like Deep Thinking Process
Minjun Zhu, Yixuan Weng, Linyi Yang et al.
Deep Ridgelet Transform and Unified Universality Theorem for Deep and Shallow Joint-Group-Equivariant Machines
Sho Sonoda, Yuka Hashimoto, Isao Ishikawa et al.
DeepRTL2: A Versatile Model for RTL-Related Tasks
Yi Liu, Hongji Zhang, Yunhao Zhou et al.
DeepRTL: Bridging Verilog Understanding and Generation with a Unified Representation Model
Yi Liu, Changran XU, Yunhao Zhou et al.
DeepSeek-Prover-V1.5: Harnessing Proof Assistant Feedback for Reinforcement Learning and Monte-Carlo Tree Search
Huajian Xin, Z.Z. Ren, Junxiao Song et al.
DeepShade: Enable Shade Simulation by Text-conditioned Image Generation
Longchao Da, Xiangrui Liu, Mithun Shivakoti et al.
DeepShield: Fortifying Deepfake Video Detection with Local and Global Forgery Analysis
Yinqi Cai, Jichang Li, Zhaolun Li et al.
Deep Signature: Characterization of Large-Scale Molecular Dynamics
Tiexin Qin, Mengxu ZHU, Chunyang Li et al.
DeepSN: A Sheaf Neural Framework for Influence Maximization
Asela Hevapathige, Qing Wang, Ahad N. Zehmakan
DeepSolution: Boosting Complex Engineering Solution Design via Tree-based Exploration and Bi-point Thinking
Zhuoqun Li, Haiyang Yu, Xuanang Chen et al.
Deep Source-Seekers with Obstacle Avoidance: Adaptive Hybrid Control with Transformers In-The-Loop
Xiyuan Zhang, Daniel Ochoa, Regina Talonia et al.
Deep Space Weather Model: Long-Range Solar Flare Prediction from Multi-Wavelength Images
Shunya Nagashima, Komei Sugiura
Deep Streaming View Clustering
Honglin Yuan, Xingfeng Li, Jian Dai et al.
Deep Sturm–Liouville: From Sample-Based to 1D Regularization with Learnable Orthogonal Basis Functions
David Vigouroux, Joseba Dalmau, Louis Béthune et al.
Deep Submodular Optimization and LLM for Multimodal Content Extraction and Automatic Poster Generation from Long Document
Vijay Jaisankar, Sambaran Bandyopadhyay, Kalp Vyas et al.
DeepTAGE: Deep Temporal-Aligned Gradient Enhancement for Optimizing Spiking Neural Networks
Wei Liu, Li Yang, Mingxuan Zhao et al.
DEEPTalk: Dynamic Emotion Embedding for Probabilistic Speech-Driven 3D Face Animation
Jisoo Kim, Jungbin Cho, Joonho Park et al.
Deep Temporal Reasoning in Video Language Models: A Cross-Linguistic Evaluation of Action Duration and Completion through Perfect Times
Olga Loginova, Sofía Ortega Loguinova
Deep-Union Completion
Siddharth Baskar, Karan Vikyath Veeranna Rupashree, Daniel L. Pimentel-Alarcón
Deep Unsupervised Hashing via External Guidance
Qihong Song, Xiting Liu, Hongyuan Zhu et al.
Deep Variational Multivariate Information Bottleneck - A Framework for Variational Losses
Eslam Abdelaleem, Ilya Nemenman, K. Michael Martini
Deep Weight Factorization: Sparse Learning Through the Lens of Artificial Symmetries
Chris Kolb, Tobias Weber, Bernd Bischl et al.