ALCHEMY: a reliable method for automated SNP genotype calling for small batch sizes and highly homozygous populations [PDF]
Motivation: The development of new high-throughput genotyping products requires a significant investment in testing and training samples to evaluate and optimize the product before it can be used reliably on new samples.
Chih-wei Tung+2 more
exaly +5 more sources
Digital Alchemy for Materials Design: Colloids and Beyond [PDF]
Starting with the early alchemists, a holy grail of science has been to make desired materials by modifying the attributes of basic building blocks. Building blocks that show promise for assembling new complex materials can be synthesized at the nanoscale with attributes that would astonish the ancient alchemists in their versatility.
Greg Van Anders+2 more
exaly +2 more sources
HEALPix Alchemy: Fast All-Sky Geometry and Image Arithmetic in a Relational Database for Multimessenger Astronomy Brokers [PDF]
Efficient searches for electromagnetic counterparts to gravitational wave, high-energy neutrino, and gamma-ray burst events demand rapid processing of image arithmetic and geometry set operations in a database to cross-match galaxy catalogs, observation footprints, and all-sky images.
arxiv +1 more source
How to Learn and Represent Abstractions: An Investigation using Symbolic Alchemy [PDF]
Alchemy is a new meta-learning environment rich enough to contain interesting abstractions, yet simple enough to make fine-grained analysis tractable. Further, Alchemy provides an optional symbolic interface that enables meta-RL research without a large compute budget.
arxiv
Channel Capacity of Starch and Glucose Molecular Communications in the Small Intestine Digestive Tract [PDF]
The emerging field of Molecular Communication (MC) aims to characterize biological-based signaling environment through information that are encoded into molecules. Since the birth of this field, a number of different applications and biological systems have been characterized using MC theory.
arxiv
A model-based approach to meta-Reinforcement Learning: Transformers and tree search [PDF]
Meta-learning is a line of research that develops the ability to leverage past experiences to efficiently solve new learning problems. Meta-Reinforcement Learning (meta-RL) methods demonstrate a capability to learn behaviors that efficiently acquire and exploit information in several meta-RL problems.
arxiv
An Improved Algorithm for Generating Database Transactions from Relational Algebra Specifications [PDF]
Alloy is a lightweight modeling formalism based on relational algebra. In prior work with Fisler, Giannakopoulos, Krishnamurthi, and Yoo, we have presented a tool, Alchemy, that compiles Alloy specifications into implementations that execute against persistent databases.
arxiv +1 more source
Alchemy: A benchmark and analysis toolkit for meta-reinforcement learning agents [PDF]
There has been rapidly growing interest in meta-learning as a method for increasing the flexibility and sample efficiency of reinforcement learning. One problem in this area of research, however, has been a scarcity of adequate benchmark tasks. In general, the structure underlying past benchmarks has either been too simple to be inherently interesting,
arxiv
DIGEST: Fast and Communication Efficient Decentralized Learning with Local Updates [PDF]
Two widely considered decentralized learning algorithms are Gossip and random walk-based learning. Gossip algorithms (both synchronous and asynchronous versions) suffer from high communication cost, while random-walk based learning experiences increased convergence time.
arxiv
Arbitrarily Precise Quantum Alchemy [PDF]
Doping compounds can be considered a perturbation to the nuclear charges in a molecular Hamiltonian. Expansions of this perturbation in a Taylor series, i.e. quantum alchemy, has been used in literature to assess millions of derivative compounds at once rather than enumerating them in costly quantum chemistry calculations.
arxiv +1 more source