2026
HALO: A Physics-Aware LLM Agent Framework for Nanophotonic Design
2026
SceneBind: Binding What and Where Across Vision, Audio and Language
2026
The Global Empirical NTK: Self-Referential Bias and Dimensionality of Gradient Descent Learning
2026
DiffuMask: Diffusion Language Model for Token-level Prompt Pruning
2026
RPNT: Robust Pre-trained Neural Transformer – A Pathway for Generalized Motor Decoding
2025
Flowing from Reasoning to Motion: Learning 3D Hand Trajectory Prediction from Egocentric Human Interaction Videos
2025
Advantages of Broadband Metalenses for Generalizable Image Classification
2025
Neural Tangent Knowledge Distillation for Optical Convolutional Networks
2025
SPINT: Spatial Permutation-Invariant Neural Transformer for Consistent Intracortical Motor Decoding
2025
KPFlow: An Operator Perspective on Dynamic Collapse Under Gradient Descent Training of Recurrent Networks
2025
SAVVY: Spatial Awareness via Audio-Visual LLMs through Seeing and Hearing
2025
IGSM: Improved Geometric and Sensitivity Matching for Finetuning Pruned Diffusion Models
2025
modWorm: Modular Neural and Biomechanical Model of C. elegans Behavior
2025
Hearing Anywhere in Any Environment
2025
SoundVista: Novel-View Ambient Sound Synthesis via Visual-Acoustic Binding
2025
OpenLabCluster: Active Learning Clustering for Animal Behavior in Video
2025
Compressed Meta-Optical Encoder for Image Classification
2024
Tell What You Hear From What You See: Video-to-Audio Generation Through Text
2024
AV-Cloud: Spatial Audio Rendering Through Audio-Visual Cloud Splatting
2024
Lyapunov-Guided Representation of Recurrent Neural Network Performance
2024
Brain-to-Text Decoding with Context-Aware Neural Representations and LLMs
2024
Transferable Polychromatic Optical Encoder for Neural Networks
2024
VAB: A Unified Model for Audio-Visual Representation and Generation
2024
CaloChallenge 2022: A Community Challenge for Fast Calorimeter Simulation
2024
Calo-VQ: Vector-Quantized Two-Stage Generative Model in Calorimeter Simulation
2024
Let the Beat Follow You – Creating Interactive Drum Sounds From Body Rhythm
2024
EP-GAN: Generation of Biophysical Neuron Model Parameters from Electrophysiological Responses
2023
Evolutionary Algorithms as an Alternative to Backpropagation for Biophysical Neural Networks and Neural ODEs
2023
Learning Time-Invariant Representations for Individual Neurons from Population Dynamics
2023
AMAG: Additive, Multiplicative and Adaptive Graph Neural Network For Forecasting Neural Activity
2023
AL-SAR: Active Learning for Skeleton-Based Action Recognition
2023
BEE: Audio Scene Reconstruction by Sparse Audio-Visual Samples
2023
TKIL: Tangent Kernel Optimization for Class Balanced Incremental Learning
2023
To reverse engineer an entire nervous system
2023
Physics-Driven Diffusion Models for Impact Sound Synthesis from Videos
2022
INRAS: Implicit Neural Representation for Audio Scenes
2022
Statistical perspective on functional and causal neural connectomics: The Time-Aware PC algorithm
2022
HYPERPRUNING: EFFICIENT PRUNING THROUGH LYAPUNOV METRIC HYPERSEARCH
2022
STNDT: Modeling Neural Population Activity with a Spatiotemporal Transformer
2021
How Does it Sound? Generation of Rhythmic Soundtracks for Human Movement Videos
2021
Knowledge distillation circumvents nonlinearity for optical convolutional neural networks
2020
Multi-Instrumentalist Net: Unsupervised Generation of Music from Body Movements
2020
Sparse Semi-Supervised Action Recognition with Active Learning
2020
Audeo: Audio Generation for a Silent Performance Video
2020
Driving the Connectome by-Wire: Comment on Synthetic Connectomics
2020
Deep Reinforcement Learning for Neural Control
2020
BI-MAML: Balanced Incremental Approach for Meta Learning
2020
PREDICT & CLUSTER: Unsupervised Skeleton Based Action Recognition
2019
Neural Interactome: Interactive Simulation of a Neuronal System
2019
Optical Frontend for a Convolutional Neural Network
2018
Audio to Body Dynamics
2018
Functional connectomics from neural dynamics: probabilistic graphical models for neuronal network of Caenorhabditis elegans
2017
Classification of Fixed Point Network Dynamics from Multiple Node Timeseries Data
2016
Neural Integration Underlying a Time-Compensated Sun Compass in the Migratory Monarch Butterfly
2014
Low-Dimensional Functionality in the C. elegans Connectome
2014
Flower Discrimination by Pollinators in a Dynamic Chemical Environment
2014
Data-driven inference of network connectivity for modeling the dynamics of neural codes in the insect antennal lobe
2012
Neural Dynamics, Bifurcations, and Firing Rates in a Quadratic Integrate-and-Fire Model with a Recovery Variable. I: Deterministic Behavior