Tag: icml
All the articles with the tag "icml".
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On Quantum Algorithms for Neural-Network Training: A Conjecture on Fault-Tolerant Speedups
The Suhubdy Conjecture — a three-form mathematical conjecture for a fault-tolerant quantum algorithm that accelerates — or replaces — backpropagation for empirical-risk minimisation in neural networks. Positioned against the Baur–Strassen cheap-gradient bound, Jordan and Gilyén–Arunachalam–Wiebe gradient-estimation algorithms, Abbas et al. (NeurIPS 2023) impossibility, quantum SDP and interior-point solvers, the Zhang–Leng–Li and Garg–Kothari–Netrapalli–Sherif lower bounds, and the 2024–2026 line on quantum non-logconcave sampling. Companion arXiv-style preprint (.tex source and .pdf) provided.
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The Credit Assignment Problem: From Rosenblatt's Perceptron to Backpropagation to Quantum Gradients
A long-form, citation-grounded history of the credit assignment problem — the core question of how to apportion blame for a global error across the internal parameters of a learning machine. From Rosenblatt's 1958 perceptron rule, through Linnainmaa, Werbos, and the 1986 Rumelhart-Hinton-Williams paper, to modern alternatives (feedback alignment, equilibrium propagation, predictive coding, forward-forward, synthetic gradients), reinforcement-learning credit assignment, and the frontier of quantum gradients (parameter-shift rule, quantum natural gradient, HHL, and the Abbas et al. NeurIPS 2023 impossibility result).
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The State of Robotics in 2026: A Citation-Grounded Survey of Research and Companies
A citation-grounded survey of robotics research as it stands in May 2026 — VLA foundation models (RT-2, OpenVLA, π0, π0.5, Helix, Gemini Robotics), imitation-learning architectures (Diffusion Policy, ACT/ALOHA, RDT-1B), cross-embodiment data (Open X-Embodiment, DROID), whole-body humanoid control (HOVER, ASAP, OmniH2O), reward design with LLMs (Eureka, DrEureka), world models for robotics (Cosmos, Genie, 1X), simulators (Isaac Lab, Genesis, RoboCasa), and the company landscape (Figure, Tesla, Boston Dynamics, Apptronik, Agility, 1X, Unitree, Physical Intelligence, Skild AI, XPENG, UBTECH, Fourier). With venue-by-venue references from ICLR, ICML, NeurIPS, CoRL, RSS, ICRA, and Science Robotics.
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Notable Papers from ICLR, ICML, NeurIPS, CVPR, EMNLP (2025–2026): An Award-Grounded Reading List
A short, hyperlinked reading list of award-winning and outstanding papers from ICLR 2025/2026, ICML 2025, NeurIPS 2025, CVPR 2025, and EMNLP 2025. One- to three-line summaries with direct arXiv and venue links.