· ai
[Paper] Mull-Tokens: Modality-Agnostic Latent Thinking
Reasoning goes beyond language; the real world requires reasoning about space, time, affordances, and much more that words alone cannot convey. Existing multimo...
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- · ai
[Paper] OmniView: An All-Seeing Diffusion Model for 3D and 4D View Synthesis
Prior approaches injecting camera control into diffusion models have focused on specific subsets of 4D consistency tasks: novel view synthesis, text-to-video wi...
- · ai
[Paper] Stronger Normalization-Free Transformers
Although normalization layers have long been viewed as indispensable components of deep learning architectures, the recent introduction of Dynamic Tanh (DyT) ha...
- · ai
[Paper] On Decision-Making Agents and Higher-Order Causal Processes
We establish a precise correspondence between decision-making agents in partially observable Markov decision processes (POMDPs) and one-input process functions,...
- · ai
[Paper] Empirical evaluation of the Frank-Wolfe methods for constructing white-box adversarial attacks
The construction of adversarial attacks for neural networks appears to be a crucial challenge for their deployment in various services. To estimate the adversar...
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[Paper] Any4D: Unified Feed-Forward Metric 4D Reconstruction
We present Any4D, a scalable multi-view transformer for metric-scale, dense feed-forward 4D reconstruction. Any4D directly generates per-pixel motion and geomet...
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[Paper] Curriculum-Based Reinforcement Learning for Autonomous UAV Navigation in Unknown Curved Tubular Conduit
Autonomous drone navigation in confined tubular environments remains a major challenge due to the constraining geometry of the conduits, the proximity of the wa...
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[Paper] Asynchronous Reasoning: Training-Free Interactive Thinking LLMs
Many state-of-the-art LLMs are trained to think before giving their answer. Reasoning can greatly improve language model capabilities and safety, but it also ma...
- · ai
[Paper] Noisy Quantum Learning Theory
We develop a framework for learning from noisy quantum experiments, focusing on fault-tolerant devices accessing uncharacterized systems through noisy couplings...
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[Paper] Decoupled Q-Chunking
Temporal-difference (TD) methods learn state and action values efficiently by bootstrapping from their own future value predictions, but such a self-bootstrappi...
- · ai
[Paper] CompanionCast: A Multi-Agent Conversational AI Framework with Spatial Audio for Social Co-Viewing Experiences
Social presence is central to the enjoyment of watching content together, yet modern media consumption is increasingly solitary. We investigate whether multi-ag...
- · ai
[Paper] Computational emotion analysis with multimodal LLMs: Current evidence on an emerging methodological opportunity
Emotions are central to politics and analyzing their role in political communication has a long tradition. As research increasingly leverages audio-visual mater...