Search Results for author:
Found 15 papers, 9 papers with code
Building Machine Learning Challenges for Anomaly Detection in Science
We present the different datasets along with a scheme to make machine learning challenges around the three datasets findable, accessible, interoperable, and reusable (FAIR).
Comprehensive Examination of Unrolled Networks for Solving Linear Inverse Problems
Unrolled networks have become prevalent in various computer vision and imaging tasks.
How Your Location Relates to Health: Variable Importance and Interpretable Machine Learning for Environmental and Sociodemographic Data
Health outcomes depend on complex environmental and sociodemographic factors whose effects change over location and time.
Vibe-Eval: A hard evaluation suite for measuring progress of multimodal language models
We introduce Vibe-Eval: a new open benchmark and framework for evaluating multimodal chat models.
Telling Left from Right: Identifying Geometry-Aware Semantic Correspondence
This paper identifies the importance of being geometry-aware for semantic correspondence and reveals a limitation of the features of current foundation models under simple post-processing.
Ranked #1 on
Semantic correspondence
on SPair-71k
Neuro-Inspired Fragmentation and Recall to Overcome Catastrophic Forgetting in Curiosity
Deep reinforcement learning methods exhibit impressive performance on a range of tasks but still struggle on hard exploration tasks in large environments with sparse rewards.
Grid Cell-Inspired Fragmentation and Recall for Efficient Map Building
If observations at a fracture point match observations in one of the stored local maps, that map is recalled (and thus reused) from LTM.
SmartChoices: Augmenting Software with Learned Implementations
In many software systems, heuristics are used to make decisions - such as cache eviction, task scheduling, and information presentation - that have a significant impact on overall system behavior.
Redeeming Intrinsic Rewards via Constrained Optimization
However, on easy exploration tasks, the agent gets distracted by intrinsic rewards and performs unnecessary exploration even when sufficient task (also called extrinsic) reward is available.
Using machine learning on new feature sets extracted from 3D models of broken animal bones to classify fragments according to break agent
Distinguishing agents of bone modification at paleoanthropological sites is at the root of much of the research directed at understanding early hominin exploitation of large animal resources and the effects those subsistence behaviors had on early hominin evolution.
GapPredict: A Language Model for Resolving Gaps in Draft Genome Assemblies
Short-read DNA sequencing instruments can yield over 1e+12 bases per run, typically composed of reads 150 bases long.
Small curvature concentration and Ricci flow smoothing
We show that a complete Ricci flow of bounded curvature which begins from a manifold with a Ricci lower bound, local entropy bound, and small local scale-invariant integral curvature control will have global point-wise curvature control at positive times.
Differential Geometry
The Yamabe flow on asymptotically flat manifolds
We study the Yamabe flow starting from an asymptotically flat manifold $(M^n, g_0)$.
Differential Geometry Analysis of PDEs 53C18, 53Exx
A Large Scale Speech Sentiment Corpus
We present a multimodal corpus for sentiment analysis based on the existing Switchboard-1 Telephone Speech Corpus released by the Linguistic Data Consortium.
