Neural SLAM
devendrachaplot
Pytorch code for ICLR-20 Paper "Learning to Explore using Active Neural SLAM"
OPENAGENTSKILL / DIRECTORY
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Results: 60
devendrachaplot
Pytorch code for ICLR-20 Paper "Learning to Explore using Active Neural SLAM"
thu-nics
[ICLR'26] The official code implementation for "Cache-to-Cache: Direct Semantic Communication Between Large Language Models"
Shilin-LU
[ICLR 2025] "Robust Watermarking Using Generative Priors Against Image Editing: From Benchmarking to Advances" (Official Implementation)
ByteDance-Seed
[ICLR 2026] Trace Anything: Representing Any Video in 4D via Trajectory Fields
ohayonguy
[ICLR 2025] Official implementation of Posterior-Mean Rectified Flow: Towards Minimum MSE Photo-Realistic Image Restoration
microsoft
[ICLR'25] OpenRCA: Can Large Language Models Locate the Root Cause of Software Failures?
atomicarchitects
[ICLR 2024] EquiformerV2: Improved Equivariant Transformer for Scaling to Higher-Degree Representations
KlingAIResearch
[ICLR'25] SynCamMaster: Synchronizing Multi-Camera Video Generation from Diverse Viewpoints
opendilab
[ICLR 2023] Come & try Decision-Intelligence version of "Agar"! Gobigger could also help you with multi-agent decision intelligence study.
gaohuang
Multi-Scale Dense Networks for Resource Efficient Image Classification (ICLR 2018 Oral)
bytedance-fanqie-ai
[ICLR 2026]🔥🔥🔥MOSAIC: Multi-Subject Personalized Generation via Correspondence-Aware Alignment and Disentanglement
FreedomIntelligence
[NeurIPS 2025 & ICLR 2025 Financial AI Best Paper Award] A multi-agent framework that leverages LLMs to simulate socio-economic systems
World-In-World
Code implementation of the paper "World-in-World: World Models in a Closed-Loop World" (ICLR'26 Oral)
gasteigerjo
PPNP & APPNP models from "Predict then Propagate: Graph Neural Networks meet Personalized PageRank" (ICLR 2019)
patrick-kidger
Differentiable computations of the signature and logsignature transforms, on both CPU and GPU. (ICLR 2021)
InternRobotics
[ICLR 2025 Oral] Seer: Predictive Inverse Dynamics Models are Scalable Learners for Robotic Manipulation
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