Hemanth Saratchandran
16 papers · 2023–2026 · 7 venues · across top CS/AI venues
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🌍 Conference Polyglot · Silver 🌉 Interdisciplinary Bridge · Silver 🗺️ Taxonomy Completionist (31) 🤝 Dynamic Duo (13) 🏆 Grand Slam
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Deep Learning
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Machine Learning
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Optimization & Theory · Machine Learning
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Optimization & Theory · Deep Learning
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Artificial Intelligence
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Computer Vision
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Mathematics & Optimization
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Core AI · Artificial Intelligence
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Core AI · Computer Vision
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Optimization
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Core Methods
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Keywords
vision transformer
(4)
low-rank adaptation
(3)
neural network optimization
(3)
loss landscape
(2)
stochastic gradient descent
(2)
parameter-efficient fine-tuning
(2)
neural radiance field
(2)
neural field
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skip connection
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self-attention mechanism
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fourier analysis
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vision-language alignment
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image compression
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machine unlearning
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stochastic optimization
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knowledge distillation
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theoretical analysis
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attention mechanism
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signal representation
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Papers
Can You Learn to See Without Images? Procedural Warm-Up for Vision Transformers
CVPR 2026
SineLoRA∆: Sine-Activated Delta Compression
AAAI 2026
SineProject: Machine Unlearning for Stable Vision-Language Alignment
CVPR 2026
Always Skip Attention
ICCV 2025
Efficient Learning with Sine-Activated Low-Rank Matrices
ICLR 2025
Enhancing Transformers Through Conditioned Embedded Tokens
ICCV 2025
Preconditioners for the Stochastic Training of Neural Fields
CVPR 2025
RandLoRA: Full rank parameter-efficient fine-tuning of large models
ICLR 2025
Towards Higher Effective Rank in Parameter-Efficient Fine-tuning using Khatri-Rao Product
ICCV 2025
A sampling theory perspective on activations for implicit neural representations
ICML 2024
From Activation to Initialization: Scaling Insights for Optimizing Neural Fields
CVPR 2024
Invertible Neural Warp for NeRF
ECCV 2024
Weight Conditioning for Smooth Optimization of Neural Networks
ECCV 2024
Curvature-Aware Training for Coordinate Networks
ICCV 2023
How much does Initialization Affect Generalization?
ICML 2023
On skip connections and normalisation layers in deep optimisation
NeurIPS 2023