Papers
How Feature Learning Can Improve Neural Scaling Laws
Blake Bordelon, Alexander Atanasov, Cengiz Pehlevan
Generator Matching: Generative modeling with arbitrary Markov processes
Peter Holderrieth, Marton Havasi, Jason Yim et al.
Simple Guidance Mechanisms for Discrete Diffusion Models
Yair Schiff, Subham Sekhar Sahoo, Hao Phung et al.
Maximizing the Potential of Synthetic Data: Insights from Random Matrix Theory
Aymane El Firdoussi, Mohamed El Amine Seddik, Soufiane Hayou et al.
Metric-Driven Attributions for Vision Transformers
Chase Walker, Sumit Kumar Jha, Rickard Ewetz
Self-play with Execution Feedback: Improving Instruction-following Capabilities of Large Language Models
Guanting Dong, Keming Lu, Chengpeng Li et al.
On the Almost Sure Convergence of the Stochastic Three Points Algorithm
Taha EL BAKKALI EL KADI, Omar Saadi
The Geometry of Categorical and Hierarchical Concepts in Large Language Models
Kiho Park, Yo Joong Choe, Yibo Jiang et al.
OPTAMI: Global Superlinear Convergence of High-order Methods
Dmitry Kamzolov, Artem Agafonov, Dmitry Pasechnyuk et al.
Semialgebraic Neural Networks: From roots to representations
S David Mis, Matti Lassas, Maarten V. de Hoop
Convergent Privacy Loss of Noisy-SGD without Convexity and Smoothness
Eli Chien, Pan Li
Privately Counting Partially Ordered Data
Matthew Joseph, Mónica Ribero, Alexander Yu
Unbounded: A Generative Infinite Game of Character Life Simulation
Jialu Li, Yuanzhen Li, Neal Wadhwa et al.
Accelerating Training with Neuron Interaction and Nowcasting Networks
Boris Knyazev, Abhinav Moudgil, Guillaume Lajoie et al.
No Free Lunch: Fundamental Limits of Learning Non-Hallucinating Generative Models
Changlong Wu, Ananth Grama, Wojciech Szpankowski
SV4D: Dynamic 3D Content Generation with Multi-Frame and Multi-View Consistency
Yiming Xie, Chun-Han Yao, Vikram Voleti et al.
What Makes a Maze Look Like a Maze?
Joy Hsu, Jiayuan Mao, Joshua B. Tenenbaum et al.
A Watermark for Order-Agnostic Language Models
Ruibo Chen, Yihan Wu, Yanshuo Chen et al.
Predicate Hierarchies Improve Few-Shot State Classification
Emily Jin, Joy Hsu, Jiajun Wu
Differentially private learners for heterogeneous treatment effects
Maresa Schröder, Valentyn Melnychuk, Stefan Feuerriegel
Differentially private optimization for non-decomposable objective functions
Weiwei Kong, Andres Munoz medina, Mónica Ribero
Prioritized Generative Replay
Renhao Wang, Kevin Frans, Pieter Abbeel et al.
Deep Kernel Posterior Learning under Infinite Variance Prior Weights
Jorge Loria, Anindya Bhadra
Graph Neural Networks Are More Than Filters: Revisiting and Benchmarking from A Spectral Perspective
Yushun Dong, Patrick Soga, Yinhan He et al.