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77 results on '"A. Partovi"'

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1. Rethinking Post-Training Quantization: Introducing a Statistical Pre-Calibration Approach

2. Safety Verification for Evasive Collision Avoidance in Autonomous Vehicles with Enhanced Resolutions

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3. OAC: Output-adaptive Calibration for Accurate Post-training Quantization

4. AdpQ: A Zero-shot Calibration Free Adaptive Post Training Quantization Method for LLMs

5. Understanding Neural Network Binarization with Forward and Backward Proximal Quantizers

6. Mitigating Outlier Activations in Low-Precision Fine-Tuning of Language Models

7. Mathematical Challenges in Deep Learning

8. Scaling Deep Networks with the Mesh Adaptive Direct Search algorithm

9. On the Convergence of Stochastic Gradient Descent in Low-precision Number Formats

10. EuclidNets: An Alternative Operation for Efficient Inference of Deep Learning Models

11. Training Integer-Only Deep Recurrent Neural Networks

12. KronA: Parameter Efficient Tuning with Kronecker Adapter

13. SeKron: A Decomposition Method Supporting Many Factorization Structures

14. Towards Fine-tuning Pre-trained Language Models with Integer Forward and Backward Propagation

15. DenseShift: Towards Accurate and Efficient Low-Bit Power-of-Two Quantization

16. Is Integer Arithmetic Enough for Deep Learning Training?

17. Rethinking Pareto Frontier for Performance Evaluation of Deep Neural Networks

18. Demystifying and Generalizing BinaryConnect

19. Kronecker Decomposition for GPT Compression

20. Convolutional Neural Network Compression through Generalized Kronecker Product Decomposition

21. iRNN: Integer-only Recurrent Neural Network

22. KroneckerBERT: Learning Kronecker Decomposition for Pre-trained Language Models via Knowledge Distillation

23. $S^3$: Sign-Sparse-Shift Reparametrization for Effective Training of Low-bit Shift Networks

24. A Twin Neural Model for Uplift

25. Radiomic Deformation and Textural Heterogeneity (R-DepTH) Descriptor to characterize Tumor Field Effect: Application to Survival Prediction in Glioblastoma

26. Opacity of Discrete Event Systems with Active Intruder

27. Tensor train decompositions on recurrent networks

28. A Causal Direction Test for Heterogeneous Populations

29. Batch Normalization in Quantized Networks

30. Importance of Data Loading Pipeline in Training Deep Neural Networks

31. Ensuring Privacy in Location-Based Services: A Model-based Approach

32. Qini-based Uplift Regression

33. Random Bias Initialization Improves Quantized Training

34. Adaptive Binary-Ternary Quantization

35. How Does Batch Normalization Help Binary Training?

36. Differentiable Mask for Pruning Convolutional and Recurrent Networks

37. Parallel Coordinate Order for High-Dimensional Data

38. Active Learning for High-Dimensional Binary Features

39. Uplift Regression: The R Package tools4uplift

40. Activation Adaptation in Neural Networks

41. Foothill: A Quasiconvex Regularization for Edge Computing of Deep Neural Networks

42. Regularized Binary Network Training

43. Causal Inference and Mechanism Clustering of A Mixture of Additive Noise Models

44. Reactive Supervisory Control of Open Discrete-event Systems

45. A Convergence Diagnostic for Bayesian Clustering

46. Reactive Integrated Mission and Motion planning

47. Structure and Dynamics of the Instantaneous Water/Vapor Interface Revisited by Path-Integral and Ab-Initio Molecular Dynamics Simulations

48. Van der Waals forces from first principles for periodic systems: Application to graphene-water interactions

49. Efficient 'on-the-fly' calculation of Raman spectra from \textit{ab-initio} molecular dynamics: Application to hydrophobic/hydrophilic solutes in bulk water

50. A Complete Method of Comparative Statics for Optimization Problems (Unabbreviated Version)