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Diffusion State-Guided Projected Gradient for Inverse Problems
Rayhan Zirvi, Bahareh Tolooshams, Anima Anandkumar
2025 ICLR
Towards Optimal Multi-draft Speculative Decoding
Zhengmian Hu, Tong Zheng, Vignesh Viswanathan et al.
2025 ICLR
MAP: Multi-Human-Value Alignment Palette
Xinran Wang, Qi Le, Ammar Ahmed et al.
2025 ICLR
2025 ICLR
Generalized Behavior Learning from Diverse Demonstrations
Varshith Sreeramdass, Rohan R Paleja, Letian Chen et al.
2025 ICLR
Safety-Prioritizing Curricula for Constrained Reinforcement Learning
Cevahir Koprulu, Thiago D. Simão, Nils Jansen et al.
2025 ICLR
Compute-Optimal LLMs Provably Generalize Better with Scale
Marc Anton Finzi, Sanyam Kapoor, Diego Granziol et al.
2025 ICLR
Optimizing $(L_0, L_1)$-Smooth Functions by Gradient Methods
Daniil Vankov, Anton Rodomanov, Angelia Nedich et al.
2025 ICLR
Competition Dynamics Shape Algorithmic Phases of In-Context Learning
Core Francisco Park, Ekdeep Singh Lubana, Hidenori Tanaka
2025 ICLR
DiscoveryBench: Towards Data-Driven Discovery with Large Language Models
Bodhisattwa Prasad Majumder, Harshit Surana, Dhruv Agarwal et al.
2025 ICLR
2025 ICLR
What Secrets Do Your Manifolds Hold? Understanding the Local Geometry of Generative Models
Ahmed Imtiaz Humayun, Ibtihel Amara, Cristina Nader Vasconcelos et al.
2025 ICLR
Adaptive Rank Allocation: Speeding Up Modern Transformers with RaNA Adapters
Roberto Garcia, Jerry Weihong Liu, Daniel Sorvisto et al.
2025 ICLR
Should VLMs be Pre-trained with Image Data?
Sedrick Keh, Jean Mercat, Samir Yitzhak Gadre et al.
2025 ICLR
2025 ICLR